Adding back labs (#11)
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gsegares
Jamie Wilbraham
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Коммит
d53d9534eb
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README.md
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README.md
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# Redirect Information
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These labs have been moved to a new repository.
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# AI School Tutorials
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Please click the link below to be redirected. Sorry for the inconvenience.
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This repository contains a collection of AI tutorials that are featured on [Microsoft AI School](https://aischool.microsoft.com).
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[Microsoft AI Labs](https://github.com/Microsoft/ailab).
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## [Sketch2Code](./sketch2code)
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See how Azure Custom Vision can create a model that takes a hand drawn wireframe and turns it into valid HTML code.
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## [Snip Insights](./snipinsights)
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Apply Azure Cognitive Services to gain intelligent insights within a screen capture application.
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## Other Labs
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You can find other AI Labs in this [Github repo](https://github.com/Microsoft/ailab).
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## Contributing
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This project welcomes contributions and suggestions. Most contributions require you to agree to a
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Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us
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the rights to use your contribution. For details, visit https://cla.microsoft.com.
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When you submit a pull request, a CLA-bot will automatically determine whether you need to provide
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a CLA and decorate the PR appropriately (e.g., label, comment). Simply follow the instructions
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provided by the bot. You will only need to do this once across all repos using our CLA.
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This project has adopted the [Microsoft Open Source Code of Conduct](https://opensource.microsoft.com/codeofconduct/).
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For more information see the [Code of Conduct FAQ](https://opensource.microsoft.com/codeofconduct/faq/) or
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contact [opencode@microsoft.com](mailto:opencode@microsoft.com) with any additional questions or comments.
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.DS_Store
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.vscode/
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.vs/
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bin/
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obj/
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packages/
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using System.Collections.Generic;
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namespace Import
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{
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public class Image
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{
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public string Id { get; set; }
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public int Width { get; set; }
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public int Height { get; set; }
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public IList<Tag> Tags { get; set; }
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public IList<Region> Regions { get; set; }
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}
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}
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<Project Sdk="Microsoft.NET.Sdk">
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<PropertyGroup>
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<OutputType>Exe</OutputType>
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<TargetFramework>netcoreapp2.1</TargetFramework>
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</PropertyGroup>
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<ItemGroup>
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<PackageReference Include="Microsoft.Azure.CognitiveServices.Vision.CustomVision.Training" Version="0.12.0-preview" />
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</ItemGroup>
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</Project>
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using System;
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using System.Collections.Generic;
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using System.IO;
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using System.Linq;
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using System.Reflection;
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using Microsoft.Azure.CognitiveServices.Vision.CustomVision.Training;
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using Microsoft.Azure.CognitiveServices.Vision.CustomVision.Training.Models;
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using Newtonsoft.Json;
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namespace Import
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{
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class Program
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{
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private static readonly int BATCH_SIZE = 50;
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static void Main(string[] args)
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{
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// Create the Api, passing in the training key
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string trainingKey = "";
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if (String.IsNullOrEmpty(trainingKey))
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{
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Console.WriteLine("The custom vision training key needs to be set.");
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Environment.Exit(1);
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}
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TrainingApi trainingApi = new TrainingApi() { ApiKey = trainingKey };
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// Find the object detection project
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var domains = trainingApi.GetDomains();
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var objDetectionDomain = domains.FirstOrDefault(d => d.Type == "ObjectDetection");
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var project = trainingApi.GetProjects().FirstOrDefault(p => p.Settings.DomainId == objDetectionDomain.Id);
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string modelPath = Path.Combine(Environment.CurrentDirectory, "..", "model");
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string dataPath = Path.Combine(modelPath, "dataset.json");
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string imagesPath = Path.Combine(modelPath, "images");
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var images = JsonConvert.DeserializeObject<IEnumerable<Image>>(File.ReadAllText(dataPath));
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// Create tags, unless they already exist
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var existingTags = trainingApi.GetTags(project.Id);
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var tagsToImport = images
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.SelectMany(i => i.Tags
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.Select(t => t.TagName))
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.Distinct()
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.Where(t => !existingTags.Any(e => string.Compare(e.Name, t, ignoreCase: true) == 0));
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if (tagsToImport.Any())
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{
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foreach (var tag in tagsToImport)
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{
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Console.WriteLine($"Importing {tag}");
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var newTag = trainingApi.CreateTag(project.Id, tag);
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existingTags.Add(newTag);
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}
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}
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// Upload images with region data, in batches of 50
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while (images.Any())
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{
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var currentBatch = images.Take(BATCH_SIZE);
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var imageFileEntries = new List<ImageFileCreateEntry>();
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foreach (var imageRef in currentBatch)
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{
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var regions = new List<Microsoft.Azure.CognitiveServices.Vision.CustomVision.Training.Models.Region>();
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foreach (var region in imageRef.Regions) {
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regions.Add(new Microsoft.Azure.CognitiveServices.Vision.CustomVision.Training.Models.Region() {
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Height = region.Height,
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Width = region.Width,
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Top = region.Top,
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Left = region.Left,
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TagId = existingTags.First(t => t.Name == region.TagName).Id
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});
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}
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string imagePath = Path.Combine(imagesPath, string.Concat(imageRef.Id, ".png"));
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imageFileEntries.Add(new ImageFileCreateEntry()
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{
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Name = imagePath,
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Contents = File.ReadAllBytes(imagePath),
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Regions = regions
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});
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}
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trainingApi.CreateImagesFromFiles(project.Id, new ImageFileCreateBatch(imageFileEntries));
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images = images.Skip(BATCH_SIZE);
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}
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Console.WriteLine("Training data upload complete!");
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}
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}
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}
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namespace Import
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{
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public class Region
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{
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public string TagName { get; set; }
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public double Left { get; set; }
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public double Top { get; set; }
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public double Width { get; set; }
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public double Height { get; set; }
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}
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}
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namespace Import
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{
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public class Tag
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{
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public string TagName { get; set; }
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}
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}
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# Sketch2Code
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## Description
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This lab will guide you through the process of using Azure Custom Vision to create a solution that is capable of transforming a handwritten user interface into valid HTML markup.
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## Process Flow
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The process of transformation is detailed as follows:
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1. The user uploads an image through the website.
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2. A custom vision model predicts what HTML elements are present in the image and their location.
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3. A handwritten text recognition service reads the text inside the predicted elements.
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4. A layout algorithm uses the spatial information from all the bounding boxes of the predicted elements to generate a grid structure that accommodates all elements.
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5. An HTML generation engine uses all this information to generate HTML markup code reflecting the result.
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## Architecture
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The Sketch2Code solution is made up of the following components:
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- A Microsoft Custom Vision Model: This model has been trained with images of different handwritten designs tagged with the information of common HTML elements such as buttons, text boxes and images.
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- A Microsoft Computer Vision Service: Provides OCR character recognition capabilites that can turn handwritten images into digital text.
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- An Azure Blob Storage: All steps involved in the HTML generation process are stored, including the original image, prediction results, and layout grouping information.
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- An Azure Function: Serves as the backend entry point that coordinates the generation process by interacting with all the services.
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- An Azure web site: A frontend application that enables the upload of a new design and outputs the generated HTML results.
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These components form the architecture as follows:
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## Setup your environment
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### A) Setup your Azure subscription
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This lab **requires** an Azure subscription. If you delete the resources at the end of the session, total charges will be less than $1 so we strongly recommend using an existing subscription if available.
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If you need a new Azure subscription, then there are a couple of options to get a free subscription:
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1. The easiest way to sign up for an Azure subscription is with VS Dev Essentials and a personal Microsoft account (like @outlook.com). This does require a credit card; however, there is a spending limit in the subscription so it won't be charged unless you explicitly remove the limit.
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* Open Microsoft Edge and go to the [Microsoft VS Dev Essentials site](https://visualstudio.microsoft.com/dev-essentials/).
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* Click **Join or access now**.
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* Sign in using your personal Microsoft account.
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* If prompted, click Confirm to agree to the terms and conditions.
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* Find the Azure tile and click the **Activate** link.
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1. Alternatively, if the above isn't suitable, you can sign up for a free Azure trial.
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* Open Microsoft Edge and go to the [free Azure trial page](https://azure.microsoft.com/en-us/free/).
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* Click **Start free**.
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* Sign in using your personal Microsoft account.
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1. Complete the Azure sign up steps and wait for the subscription to be provisioned. This usually only takes a couple of minutes.
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### C) Download the lab materials
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Download the sample code provided for this lab, it includes the following:
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* Training images
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* Training label data
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* An Azure orchestrator function
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* The Sketch2Code frontend app
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To Download:
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1. Click **Clone or download** from this repo.
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1. You can clone the repo using git or click **Download ZIP** to directly download the code from your browser.
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## Introduction to the Azure Custom Vision Service
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### A) Introduction to Azure Custom Vision
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The Azure Custom Vision Service lets you easily build your own custom image classifiers, without needing any knowledge of the underlying machine learning models. It provides a web interface that allows you to upload and tag training data, as well as to train, evaluate, and make predictions. You can also interact with your custom models via a REST API.
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The Custom Vision service has recently been enhanced to include Object Detection, which allows you to train the service to detect multiple objects inside an image with their locations.
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This module will guide you through the process of creating an Object Detection project, and tagging your first image.
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##### What is Object Detection?
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Image Classification is the process of taking an image as input and outputting a class label out of a set of classes.
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Image Classification with Localization is the process that takes an image as input, outputs a class label and also draws a bounding box around the object to locate it in the image.
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One step beyond that is Object Detection; this process applies image localization to all the objects in the image, which results in multiple bounding boxes and can have multiple applications like face detection, or autonomous driving.
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### B) Create an Object Detection project
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We'll start by creating a new Custom Vision object detection project:
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1. In your web browser, navigate to the [Custom Vision](https://customvision.ai/) web page. Select Sign in to begin using the service.
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1. To create your first project, select **New Project**. For your first project, you are asked to agree to the Terms of Service. Select the check box, and then select the I agree button. The New project dialog box appears.
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1. Enter a name and a description for the project. Then select `Object Detection` for the project type.
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1. Select a Resource Group. The Resource Group dropdown shows you all of your Azure Resource Groups that include a Custom Vision Service Resource. You can also create select limited trial. The limited trial entry is the only resource group a non-Azure user will be able to choose from.
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1. To create the project, select **Create project**.
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### C) Tag an image
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Next we'll use the Custom Vision web interface to tag images. In this section we are going to see how to manually tag an image, but later you'll also see how this can be done via the REST API.
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1. To add images to the classifier, use the **Add images** button.
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> Custom Vision Service accepts training images in .jpg, .png, and .bmp format, up to 6 MB per image. (Prediction images can be up to 4 MB per image.) We recommend that images be 256 pixels on the shortest edge. Any images shorter than 256 pixels on the shortest edge are scaled up by Custom Vision Service.
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1. Browse for the file `sample.png` inside the `model` folder of the downloaded repository files and select `Open` to move to tagging.
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1. Click the `Upload 1 file` button.
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1. Select **Done** once the image has been uploaded.
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1. Then click the uploaded image to start tagging.
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1. Draw a box surrounding the title of the image: `LANGUAGE OPTIONS` and add the tag `Heading` to the text field and click the `+` button.
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1. Draw a box surrounding one of the checkbox in the image including the label, for example the checkbox and the word `english`; add the tag `CheckBox` in the same way than before.
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1. Do the same for all the checkboxes in the image but now select the tag created before.
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1. The final result of the tagging should look similar to this image: 
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## Train an object detection model
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In this section we are going to see how to train and test an Object Detection model.
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The more images you include in your training set, the better your model will perform. To save time, we've provided 150 images with a set of tags. The training set used to create the sample model in the project is located in the **model** folder. Each training image has a unique identifier that matches the tags contained in the `dataset.json` file. This file contains all the tag information used to train the sample model. A script is provided to upload the training images, along with the tag data.
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### A) Upload the full training set
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1. Open **Visual Studio 2017** from the Start Menu.
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1. Click **Open Project/Solution** from the **File > Open** menu.
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1. Select the solution file `Sketch2Code\Sketch2Code.sln` and wait for it to load.
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1. Take a look at the `Import` project.
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1. Return to **Microsoft Edge** and the [Custom Vision](https://customvision.ai) (customvision.ai) portal.
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1. Click on the **settings** icon in the top right corner of portal.
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1. Copy the **Training Key** located under the *Accounts* section.
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1. Return to **Visual Studio**.
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1. Open the **Program.cs** file in the **Import** project.
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1. Find the `string trainingKey = "";` code around line 19 and set the value with the copied key value.
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```cs
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string trainingKey = "";
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```
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1. Open a terminal and go to the `Import` project folder.
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1. Enter the command `dotnet run` and press the enter key.
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1. When the import process is finished, you will see the message: `Training data upload complete!`.
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> NOTE: The import process assumes that you have only one object detection project. If this is not the case, you will need to update the code to select the correct project.
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### B) Train the model
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Now that our data set is available, and each image correctly tagged, the training process can begin. This is a quick operation given the small size of our data set. The output is a classifier that can be used to make predictions. In the case that better training data is made available, we can create a new iteration of the classifier and compare its performance.
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1. Return to **Microsoft Edge** and the [Custom Vision](https://customvision.ai) (customvision.ai) portal.
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1. Select the object detection project you created earlier.
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1. Click on the green **Train** button in the top navigation bar.
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1. Wait for the training to complete. The process should take around 2 to 3 minutes.
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### C) Review model performance
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1. Click the `Performance` option in the menu to check how accurate the object detection model is after training.
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1. Review the new classifier's precision and recall. Mouse over the tooltips to learn more about these concepts.
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### D) Test the model
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The portal provides a test page for us to do a basic smoke test of our model with some new, unseen data. In a production scenario, the RESTful API can provide a more convienent mechanism for doing automated predictions.
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1. Click on the **Quick Test** button in the top navigation bar.
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1. Click the **Browse local files** button.
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1. Browse to the downloaded `model` folder and select the `sample_2.png` image.
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1. Click **Open**.
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1. Wait for the object detection test to run.
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1. You should now be able to see how well the service is detecting different objects and their locations in your image.
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1. Close the **Quick Test** side bar by clicking on the **X** icon in the top right.
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1. Click on the **Predictions** tag in the top nav bar.
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1. Here we can see the new test data. If we click on an image, we can manually tag it and add it to our data set. This image will then be included next time we re-train our classifier, potentially leading to improved accuracy.
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## Create the Orchestrator Azure Function
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In this section we will see how to code a solution to make predictions using the custom model. This will involve using the REST API to make predictions, as well as using the _Computer_ vision service to recognize hand writing in the images.
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### A) Configure the Custom Vision connection
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1. Return to **Microsoft Edge** and the [Custom Vision](https://customvision.ai) (customvision.ai) portal.
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1. Select the object detection project you created earlier.
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1. Click on the **settings** icon in the top right corner of portal.
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1. Copy the **Training Key** located under the *Accounts* section.
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1. Copy the **Prediction Key** located under the *Accounts* section.
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1. Copy the **Project Name** located under the *Project Settings* section.
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1. Click on the `Performance` option in the menu.
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1. Copy the **Iteration name** of the `Default` iteration in the left area, usually `Iteration 1`.
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1. Return to **Visual Studio** and open the **local.settings.json** in the root of the `Sketch2Code.Api` project.
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1. Find the following content:
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```json
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||||
"ObjectDetectionTrainingKey": "CustomVisionTrainingKey",
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"ObjectDetectionPredictionKey": "CustomVisionPredictionKey",
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"ObjectDetectionProjectName": "CustomVisionProjectName",
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"ObjectDetectionIterationName": "CustomVisionIterationName",
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```
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1. Replace the values for each property with what you copied before from the portal.
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### B) Register for access to the Computer Vision API
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||||
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A Microsoft _Computer_ Vision Service is needed to perform handwritten character recognition. Computer Vision services require special subscription keys. Every call to the Computer Vision API requires a subscription key. This key needs to be either passed through a query string parameter or specified in the request header.
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1. Go to **Microsoft Edge**.
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1. In a new tab, navigate to the [Try Azure App Service](https://azure.microsoft.com/en-us/try/cognitive-services/) portal (https://azure.microsoft.com/en-us/try/cognitive-services/).
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1. Select the **Vision APIs** tab if it is not selected.
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1. Find **Computer Vision** in the list and click the related **Get API Key** button.
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||||
1. Select the **Guest** option by clicking the **Get started** button.
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1. Aggre with the terms by checking the box and click the **Next** button.
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1. **SIGN IN** using your Microsoft account.
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||||
1. Check your APIs subscriptions and find the **Computer Vision** option and copy the first **Endpoint** and **Key 1** values.
|
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1. Return to **Visual Studio** and open the **local.settings.json** in the root of the `Sketch2Code.Api` project.
|
||||
1. Find the following content:
|
||||
```json
|
||||
"HandwrittenTextSubscriptionKey": "ComputerVisionKey",
|
||||
"HandwrittenTextApiEndpoint": "ComputerVisionEndpoint",
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```
|
||||
1. Replace **ComputerVisionKey** with the value you copied from the API website as the **Key 1**.
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||||
1. Replace **ComputerVisionEndpoint** with the value you copied from the API website as the **Endpoint**.
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||||
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||||
### C) Create an Azure Blob Storage account
|
||||
|
||||
An Azure Blob Storage account is used to store all the intermediary steps of the orchestration process. A new folder is created for each step as follows:
|
||||
|
||||
⋅* Original.png: The original image uploaded by the user.
|
||||
⋅* slices: Contains the cropped images used for text prediction.
|
||||
⋅* results.json: Results from the prediction process run against the original image.
|
||||
⋅* groups.json: Results from the layout algorithm containing the spatial distribution of predicted objects.
|
||||
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||||
1. Go to **Microsoft Edge**.
|
||||
1. In a new tab, navigate to the [Azure Portal](https://portal.azure.com/) (https://portal.azure.com/).
|
||||
1. Click the **Create a resource** in the left menu.
|
||||
1. Search for **Storage account** and select the `Storage account - blob, file, table, queue` option.
|
||||
1. Click the **Create** button.
|
||||
1. Enter all the required information:
|
||||
- **Name**: Sketch2Sketch2CodeBlobStorage
|
||||
- **Account kind**: Blob storage
|
||||
- **Subscription**: Pay-As-You-Go
|
||||
- **Resource group**: Create or select a desired group.
|
||||
1. Click the **Create** button and wait for the resource to be created.
|
||||
1. When the resource is created go to the detail view by clicking the name in the notification or by searching the created resource by name in the `All resources` option.
|
||||
1. Click in the **Access keys** option in the left menu of the resource.
|
||||
1. Find the **key 1** section and copy the **Connection string** value by clicking the icon on the right.
|
||||
1. Return to **Visual Studio** and open the **local.settings.json** in the root of the `Sketch2Code.Api` project.
|
||||
1. Find the following content:
|
||||
```json
|
||||
"AzureWebJobsStorage": "AzureWebJobsStorageConnectionString",
|
||||
```
|
||||
1. Replace **AzureWebJobsStorageConnectionString** with the value you copied from the azure portal.
|
||||
|
||||
### D) Update the Code
|
||||
|
||||
In this section we are going to take a look inside the code and wire up the orchestrator service to the custom vision prediction REST api.
|
||||
|
||||
1. Go back to **Visual Studio 2017** from the Start Menu.
|
||||
1. Take a look to the `Sketch2Code.AI` project.
|
||||
1. Open the `ObjectDetector.cs` file.
|
||||
1. Find the following method:
|
||||
```cs
|
||||
public async Task<ImagePrediction> GetDetectedObjects(byte[] image)
|
||||
{
|
||||
throw new NotImplementedException();
|
||||
}
|
||||
```
|
||||
1. Replace the body of the method with the following code:
|
||||
```cs
|
||||
using (var endpoint = new PredictionEndpoint() { ApiKey = this._predictionApiKey })
|
||||
{
|
||||
using (var ms = new MemoryStream(image))
|
||||
{
|
||||
return await endpoint.PredictImageAsync(this._project.Id, ms);
|
||||
}
|
||||
}
|
||||
```
|
||||
> The code is calling the API endpoint that returns predictions for the object locations of an input image. More references about the API endpoint can be found [here](https://southcentralus.dev.cognitive.microsoft.com/docs/services/450e4ba4d72542e889d93fd7b8e960de/operations/5a6264bc40d86a0ef8b2c290).
|
||||
1. Take a look at the `Sketch2Code.Core` project.
|
||||
1. Open the `ObjectDetectionAppService.cs` file inside the `Services` folder.
|
||||
1. Find the following method:
|
||||
```cs
|
||||
public async Task<IList<PredictedObject>> GetPredictionAsync(byte[] data)
|
||||
{
|
||||
throw new NotImplementedException();
|
||||
}
|
||||
```
|
||||
1. Replace the body of the method with the following code:
|
||||
```cs
|
||||
var list = new List<PredictedObject>();
|
||||
|
||||
Image image = buildAndVerifyImage(data);
|
||||
|
||||
ImagePrediction prediction = await _detectorClient.GetDetectedObjects(data);
|
||||
|
||||
HandwritingTextLine[] result = await this._detectorClient.GetTextRecognition(data);
|
||||
|
||||
if (prediction != null)
|
||||
{
|
||||
if (prediction.Predictions != null && prediction.Predictions.Any())
|
||||
{
|
||||
var predictions = prediction.Predictions.ToList();
|
||||
|
||||
removePredictionsUnderProbabilityThreshold(predictions);
|
||||
|
||||
list = predictions.ConvertAll<PredictedObject>((p) =>
|
||||
{
|
||||
return buildPredictedObject(p, image, data);
|
||||
});
|
||||
|
||||
removeUnusableImages(list);
|
||||
|
||||
if (result != null)
|
||||
{
|
||||
foreach (var predictedObject in list)
|
||||
{
|
||||
assignPredictedText2(predictedObject, result);
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
return list;
|
||||
```
|
||||
> The code is calling the `GetDetectedObjects` method that was updated above. It takes the returned predictions and and then removes any objects with low prediction probabilities. It also gets the results of the hand written character recognition and assigns these to the detected objects.
|
||||
1. Take a look to the `Sketch2Code.Api` project.
|
||||
1. Open the `ObjectDetection.cs` file in the root of the project and review it.
|
||||
> This class exposes the Azure Function and will create the service and call the methods you just coded. When a response is returned, it saves the results to the storage, which includes the original image, a new image with the predicted objects and a json file with all the tagging information.
|
||||
|
||||
### D) Test the function
|
||||
|
||||
Lets try the function with all the updated code.
|
||||
|
||||
1. In Visual Studio, open the `ObjectDetection.cs` file in the root of the `Sketch2Code.Api` project.
|
||||
1. Set a breakpoint in the line `if (result != null)` around number 47 to debug the result of the prediction API service operation.
|
||||
1. Click the green button in the top of Visual Studio to start the project; **make sure that the Sketch2Code.Api project is selected**.
|
||||
1. A new console window will output the enabled **Http Functions**.
|
||||
1. Open a new console to make a request to test the function.
|
||||
1. Change directory to the folder where the sample images are located: `cd Sketch2Code\model`.
|
||||
1. Call the endpoint by using the following `curl `command :
|
||||
```bash
|
||||
curl --request POST --data-binary "@sample_2.png" http://localhost:7071/api/detection
|
||||
```
|
||||
> NOTE: It is possible that your function is emulated on a different URL or port. Review the console output of the Azure function to confirm it is in the example above.
|
||||
1. Go to Visual Studio and wait for the breakpoint to be hit.
|
||||
1. Inspect the `result` object, you should see a list of all the predicted objects and their locations inside the image.
|
||||
1. Click the `Continue` button in the top of Visual Studio and wait for the request to finish.
|
||||
1. At the end should print a GUID identifier.
|
||||
1. Go back to **Microsoft Edge**.
|
||||
1. Navigate to the [Azure Portal](https://portal.azure.com/) (https://portal.azure.com/).
|
||||
1. Go to the created blob storage resource by searching by name in the `All resources` option.
|
||||
1. Click on the `Storage Explorer (preview)` option of the resource menu in the left.
|
||||
1. Check the `BLOB CONTAINERS` and click the one created.
|
||||
1. In the right panel you should see all the created files by the function:
|
||||
- slices (folder)
|
||||
- groups.json
|
||||
- original.png
|
||||
- predicted.png
|
||||
- results.json
|
||||
1. Double-Click the `predicted.png` file to start the download process.
|
||||
1. Save the file to your computer and open it with any available software.
|
||||
1. Check all the predicted objects in the image.
|
||||
|
||||
|
||||
## Run the Sketch2Code App
|
||||
|
||||
In this section we will see how to setup the app that generates HTML from the model predictions.
|
||||
|
||||
### A) Update app settings
|
||||
|
||||
1. Return to **Visual Studio** and open the **Web.config** file in the root of the `Sketch2Code.Web` project.
|
||||
1. Find the `appSettings` section in the file.
|
||||
1. Replace all the following values with the same values from the **local.settings.json** file inside the **Sketch2Code.Api** project that you set before.
|
||||
- ObjectDetectionTrainingKeyValue = ObjectDetectionTrainingKey
|
||||
- ObjectDetectionPredictionKeyValue = ObjectDetectionPredictionKey
|
||||
- ObjectDetectionProjectNameValue = ObjectDetectionProjectName
|
||||
- ObjectDetectionIterationNameValue = ObjectDetectionIterationName
|
||||
- HandwrittenTextSubscriptionKeyValue = HandwrittenTextSubscriptionKey
|
||||
- HandwrittenTextApiEndpointValue = HandwrittenTextApiEndpoint
|
||||
- AzureWebJobsStorageValue = AzureWebJobsStorage
|
||||
1. Make sure that the `Sketch2CodeAppFunctionEndPoint` property has the correct function endpoint URL that you use before to call the function.
|
||||
1. Now we need to set the value for the `storageUrl` key. Go back to the [Azure Portal](https://portal.azure.com/) (https://portal.azure.com/) in Edge and find the created Blob Storage resource.
|
||||
1. Confirm the name of the resource and set the value using it all in lowercase of the setting to be: https://RESOURCENAME.blob.core.windows.net. It should be something like https://sketch2sketch2codeblobstorage.blob.core.windows.net
|
||||
|
||||
|
||||
### B) Run the app
|
||||
|
||||
Lets try it!
|
||||
|
||||
1. Select the `Sketch2Code.Web` program in Visual Studio at the top and click the green button to start the app.
|
||||
1. A new browser window should be open with the app.
|
||||
1. Click the `Use this sample` button in the middle of the screen to try the app sample:
|
||||
.
|
||||
1. The initial part of the process will upload the sample image and display it in the browser.
|
||||
1. Then wait for the sketch to code process to finish.
|
||||
> The message in the window will be: "Working on your Sketch. Please wait..."
|
||||
1. When finished you should see the message: `It's done!` and the image with the recognized objects on the right.
|
||||
1. Click the `DOWNLOAD YOUR HTML CODE` to download an `html` file with the generated code.
|
||||
1. Save the file in your machine and open it with Edge to see it in action!
|
||||
1. Now let's try with one of the samples in the model.
|
||||
1. Click the `TRY A NEW DESIGN` link.
|
||||
1. In the homepage click the `Upload design` button:
|
||||
.
|
||||
1. Browse to `Sketch2Code\model` and select the `sample_2.png` image.
|
||||
1. Wait for the process to finish and do the same to see the generated html output.
|
||||
> Any new design that you process can be fed back into the training to further improve the model.
|
||||
1. Bonus: Draw your own design and use a camera to create an image that you can feed into your model.
|
||||
|
|
@ -0,0 +1,100 @@
|
|||
|
||||
using Microsoft.Azure.CognitiveServices.Vision.CustomVision.Training;
|
||||
using Microsoft.Azure.CognitiveServices.Vision.CustomVision.Training.Models;
|
||||
using Microsoft.ProjectOxford.Vision;
|
||||
using System;
|
||||
using System.Collections.Generic;
|
||||
using System.Configuration;
|
||||
using System.Linq;
|
||||
using System.Net.Http;
|
||||
using System.Text;
|
||||
using System.Threading.Tasks;
|
||||
|
||||
namespace Sketch2Code.AI
|
||||
{
|
||||
public abstract class CustomVisionClient
|
||||
{
|
||||
protected string _trainingApiKey;
|
||||
protected string _predictionApiKey;
|
||||
private TrainingApi _trainingApi;
|
||||
protected string _projectName;
|
||||
protected Project _project;
|
||||
protected Iteration _iteration;
|
||||
protected VisionServiceClient _visionClient;
|
||||
|
||||
public TrainingApi TrainingApi { get => _trainingApi; }
|
||||
|
||||
public CustomVisionClient(string trainingKey, string predictionKey, string projectName)
|
||||
{
|
||||
_trainingApiKey = trainingKey;
|
||||
_predictionApiKey = predictionKey;
|
||||
_projectName = projectName;
|
||||
this._trainingApi = new TrainingApi() { ApiKey = _trainingApiKey };
|
||||
|
||||
_visionClient = new VisionServiceClient(ConfigurationManager.AppSettings["HandwrittenTextSubscriptionKey"],
|
||||
ConfigurationManager.AppSettings["HandwrittenTextApiEndpoint"]);
|
||||
}
|
||||
|
||||
protected async Task<Project> GetProjectAsync(string projectName)
|
||||
{
|
||||
if (String.IsNullOrWhiteSpace(projectName)) throw new ArgumentNullException("projectName");
|
||||
var projects = await this._trainingApi.GetProjectsAsync();
|
||||
|
||||
return projects.SingleOrDefault(p => p.Name.Equals(projectName, StringComparison.InvariantCultureIgnoreCase));
|
||||
}
|
||||
|
||||
public virtual void Initialize()
|
||||
{
|
||||
if (String.IsNullOrWhiteSpace(_projectName)) throw new ArgumentNullException("projectName");
|
||||
var projects = this._trainingApi.GetProjects();
|
||||
|
||||
this._project = projects.SingleOrDefault(p => p.Name.Equals(_projectName, StringComparison.InvariantCultureIgnoreCase));
|
||||
|
||||
if (_project == null) throw new InvalidOperationException($"CustomVision client failed to initialize. ({_projectName} Not Found.)");
|
||||
|
||||
|
||||
SetDefaultIteration(ConfigurationManager.AppSettings["ObjectDetectionIterationName"]);
|
||||
}
|
||||
|
||||
protected async Task<IList<Iteration>> GetIterations(string projectName)
|
||||
{
|
||||
if (String.IsNullOrWhiteSpace(projectName)) throw new ArgumentNullException("projectName");
|
||||
|
||||
var prj = await this.GetProjectAsync(projectName);
|
||||
|
||||
var iterations = await this._trainingApi.GetIterationsAsync(prj.Id);
|
||||
|
||||
return iterations;
|
||||
}
|
||||
|
||||
public virtual async Task SetDefaultIterationAsync(string iterationName)
|
||||
{
|
||||
if (_project == null) throw new InvalidOperationException("Project is null");
|
||||
|
||||
var iterations = await this._trainingApi.GetIterationsAsync(_project.Id);
|
||||
|
||||
var iteration = iterations.SingleOrDefault(i=>i.Name == iterationName);
|
||||
|
||||
if (iteration == null) throw new InvalidOperationException($"Iteration {iterationName} not found");
|
||||
|
||||
iteration.IsDefault = true;
|
||||
|
||||
await _trainingApi.UpdateIterationAsync(_project.Id, iteration.Id, iteration);
|
||||
}
|
||||
|
||||
public virtual void SetDefaultIteration(string iterationName)
|
||||
{
|
||||
if (_project == null) throw new InvalidOperationException("Project is null");
|
||||
|
||||
var iterations = this._trainingApi.GetIterations(_project.Id);
|
||||
|
||||
var iteration = iterations.SingleOrDefault(i => i.Name == iterationName);
|
||||
|
||||
if (iteration == null) throw new InvalidOperationException($"Iteration {iterationName} not found");
|
||||
|
||||
iteration.IsDefault = true;
|
||||
|
||||
this._trainingApi.UpdateIteration(_project.Id, iteration.Id, iteration);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
|
@ -0,0 +1,143 @@
|
|||
using System;
|
||||
using System.Collections.Generic;
|
||||
using System.Linq;
|
||||
using System.Net;
|
||||
using System.Text;
|
||||
using System.Threading.Tasks;
|
||||
using Microsoft.Azure.CognitiveServices.Vision.CustomVision.Training;
|
||||
using Microsoft.Azure.CognitiveServices.Vision.CustomVision.Training.Models;
|
||||
|
||||
namespace Sketch2Code.AI.Management
|
||||
{
|
||||
public class CustomVisionManager
|
||||
{
|
||||
CustomVisionClient _apiClient;
|
||||
public CustomVisionManager(CustomVisionClient client)
|
||||
{
|
||||
_apiClient = client;
|
||||
|
||||
}
|
||||
|
||||
public async Task<Project> CreateProject(string projectName)
|
||||
{
|
||||
var project = await _apiClient.TrainingApi.CreateProjectAsync(projectName);
|
||||
return project;
|
||||
}
|
||||
|
||||
public async Task<Project> GetProject(string projectName)
|
||||
{
|
||||
var projects = await _apiClient.TrainingApi.GetProjectsAsync();
|
||||
var project = projects?.SingleOrDefault(p => p.Name.Equals(projectName, StringComparison.CurrentCultureIgnoreCase));
|
||||
return project;
|
||||
}
|
||||
|
||||
public async Task<Tag> CreateTag(string tagName, Project project)
|
||||
{
|
||||
if (project == null)
|
||||
throw new ArgumentNullException("project");
|
||||
var tag = await _apiClient.TrainingApi.CreateTagAsync(project.Id, tagName);
|
||||
return tag;
|
||||
}
|
||||
|
||||
public async Task<IList<Tag>> GetTags(Project project)
|
||||
{
|
||||
try
|
||||
{
|
||||
if (project == null)
|
||||
throw new ArgumentNullException("project");
|
||||
var tags = await _apiClient.TrainingApi.GetTagsAsync(project.Id);
|
||||
return tags;
|
||||
}
|
||||
catch (Exception ex)
|
||||
{
|
||||
|
||||
throw;
|
||||
}
|
||||
|
||||
}
|
||||
|
||||
public async Task<IList<Image>> GetImagesForTraining(Project project, Iteration iteration = null)
|
||||
{
|
||||
int defaultPageSize = 50;
|
||||
int offset = 0;
|
||||
bool hasRecords = true;
|
||||
var list = new List<Image>();
|
||||
|
||||
while (hasRecords)
|
||||
{
|
||||
var images = await _apiClient.TrainingApi.GetTaggedImagesAsync(project.Id, iteration?.Id, skip: offset * defaultPageSize);
|
||||
offset += 1;
|
||||
hasRecords = images.Count > 0;
|
||||
list.AddRange(images);
|
||||
}
|
||||
|
||||
return list;
|
||||
}
|
||||
|
||||
public async Task CreateDataset(Project project, IList<Image> imageDataset)
|
||||
{
|
||||
//Get Tags
|
||||
var tags = await this.GetTags(project);
|
||||
if (tags!=null && !tags.Any() || tags==null)
|
||||
{
|
||||
//Create Tags
|
||||
var imageTags = imageDataset.SelectMany(i => i.Tags).GroupBy(i => i.TagName).Select(g => g.Key).Distinct();
|
||||
foreach (var tag in imageTags)
|
||||
{
|
||||
var newTag = await this._apiClient.TrainingApi.CreateTagAsync(project.Id, tag);
|
||||
tags.Add(newTag);
|
||||
}
|
||||
}
|
||||
|
||||
//Set Regions with created tags
|
||||
var entries = new List<ImageFileCreateEntry>();
|
||||
|
||||
//Create Images With Regions And Tags
|
||||
foreach (var img in imageDataset)
|
||||
{
|
||||
//download image as byte array
|
||||
using (var client = new WebClient())
|
||||
{
|
||||
var buffer = await client.DownloadDataTaskAsync(img.ImageUri);
|
||||
var regions = img.Regions.ToList().ConvertAll<Region>((imageRegion) =>
|
||||
{
|
||||
var tag = tags.SingleOrDefault((t) => t.Name.Equals(imageRegion.TagName, StringComparison.InvariantCultureIgnoreCase));
|
||||
return new Region
|
||||
{
|
||||
Height = imageRegion.Height,
|
||||
Left = imageRegion.Left,
|
||||
Top = imageRegion.Top,
|
||||
Width = imageRegion.Width,
|
||||
TagId = tag.Id
|
||||
};
|
||||
});
|
||||
entries.Add(new ImageFileCreateEntry
|
||||
{
|
||||
Contents = buffer,
|
||||
Regions = regions,
|
||||
TagIds = regions.Select(r => r.TagId).ToList()
|
||||
});
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
//Custom vision only allows a max of 64 items as batch size
|
||||
int batchSize = 64;
|
||||
|
||||
var pagedEntries = entries
|
||||
.Select((e, index) => new { Item = e, Index = index })
|
||||
.GroupBy(e=>e.Index/batchSize).ToList();
|
||||
|
||||
foreach (var entryList in pagedEntries)
|
||||
{
|
||||
_apiClient.TrainingApi.CreateImagesFromFiles(project.Id, new ImageFileCreateBatch
|
||||
{
|
||||
Images = entryList.Select(e=>e.Item).ToList(),
|
||||
TagIds = entryList.SelectMany(e => e.Item.TagIds).Distinct().ToList()
|
||||
});
|
||||
}
|
||||
|
||||
}
|
||||
|
||||
}
|
||||
}
|
||||
|
|
@ -0,0 +1,95 @@
|
|||
using Microsoft.Azure.CognitiveServices.Vision.CustomVision.Prediction;
|
||||
using Microsoft.Azure.CognitiveServices.Vision.CustomVision.Prediction.Models;
|
||||
using Microsoft.ProjectOxford.Vision;
|
||||
using Microsoft.ProjectOxford.Vision.Contract;
|
||||
using System;
|
||||
using System.Collections.Generic;
|
||||
using System.Configuration;
|
||||
using System.IO;
|
||||
using System.Linq;
|
||||
using System.Threading.Tasks;
|
||||
|
||||
namespace Sketch2Code.AI
|
||||
{
|
||||
public class ObjectDetector : CustomVisionClient
|
||||
{
|
||||
|
||||
public ObjectDetector()
|
||||
: base(ConfigurationManager.AppSettings["ObjectDetectionTrainingKey"],
|
||||
ConfigurationManager.AppSettings["ObjectDetectionPredictionKey"],
|
||||
ConfigurationManager.AppSettings["ObjectDetectionProjectName"])
|
||||
{
|
||||
}
|
||||
|
||||
public ObjectDetector(string trainingKey, string predictionKey, string projectName)
|
||||
: base(trainingKey, predictionKey, projectName)
|
||||
{
|
||||
|
||||
}
|
||||
|
||||
public async Task<ImagePrediction> GetDetectedObjects(byte[] image)
|
||||
{
|
||||
throw new NotImplementedException();
|
||||
}
|
||||
|
||||
public async Task<List<String>> GetText(byte[] image)
|
||||
{
|
||||
var list = new List<String>();
|
||||
try
|
||||
{
|
||||
using (var ms = new MemoryStream(image))
|
||||
{
|
||||
var operation = await _visionClient.CreateHandwritingRecognitionOperationAsync(ms);
|
||||
var result = await _visionClient.GetHandwritingRecognitionOperationResultAsync(operation);
|
||||
|
||||
while (result.Status != Microsoft.ProjectOxford.Vision.Contract.HandwritingRecognitionOperationStatus.Succeeded)
|
||||
{
|
||||
if (result.Status == Microsoft.ProjectOxford.Vision.Contract.HandwritingRecognitionOperationStatus.Failed)
|
||||
return new List<string>(new string[] { "Text prediction failed" });
|
||||
|
||||
await Task.Delay(Convert.ToInt32(ConfigurationManager.AppSettings["ComputerVisionDelay"]));
|
||||
|
||||
result = await _visionClient.GetHandwritingRecognitionOperationResultAsync(operation);
|
||||
}
|
||||
list = result.RecognitionResult.Lines.SelectMany(l => l.Words?.Select(w => w.Text)).ToList();
|
||||
}
|
||||
}
|
||||
catch (ClientException ex)
|
||||
{
|
||||
list.Add($"Text prediction failed: {ex.Error.Message}. Id: {ex.Error.Code}.");
|
||||
}
|
||||
return list;
|
||||
}
|
||||
|
||||
public async Task<HandwritingTextLine[]> GetTextRecognition(byte[] image)
|
||||
{
|
||||
try
|
||||
{
|
||||
using (var ms = new MemoryStream(image))
|
||||
{
|
||||
var operation = await _visionClient.CreateHandwritingRecognitionOperationAsync(ms);
|
||||
var result = await _visionClient.GetHandwritingRecognitionOperationResultAsync(operation);
|
||||
|
||||
while (result.Status != Microsoft.ProjectOxford.Vision.Contract.HandwritingRecognitionOperationStatus.Succeeded)
|
||||
{
|
||||
if (result.Status == Microsoft.ProjectOxford.Vision.Contract.HandwritingRecognitionOperationStatus.Failed)
|
||||
{
|
||||
return null;
|
||||
}
|
||||
|
||||
await Task.Delay(Convert.ToInt32(ConfigurationManager.AppSettings["ComputerVisionDelay"]));
|
||||
result = await _visionClient.GetHandwritingRecognitionOperationResultAsync(operation);
|
||||
}
|
||||
|
||||
return result.RecognitionResult.Lines;
|
||||
|
||||
}
|
||||
}
|
||||
catch (ClientException ex)
|
||||
{
|
||||
return null;
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
|
|
@ -0,0 +1,36 @@
|
|||
using System.Reflection;
|
||||
using System.Runtime.CompilerServices;
|
||||
using System.Runtime.InteropServices;
|
||||
|
||||
// General Information about an assembly is controlled through the following
|
||||
// set of attributes. Change these attribute values to modify the information
|
||||
// associated with an assembly.
|
||||
[assembly: AssemblyTitle("Sketch2Code.AI")]
|
||||
[assembly: AssemblyDescription("")]
|
||||
[assembly: AssemblyConfiguration("")]
|
||||
[assembly: AssemblyCompany("")]
|
||||
[assembly: AssemblyProduct("Sketch2Code.AI")]
|
||||
[assembly: AssemblyCopyright("Copyright © 2018")]
|
||||
[assembly: AssemblyTrademark("")]
|
||||
[assembly: AssemblyCulture("")]
|
||||
|
||||
// Setting ComVisible to false makes the types in this assembly not visible
|
||||
// to COM components. If you need to access a type in this assembly from
|
||||
// COM, set the ComVisible attribute to true on that type.
|
||||
[assembly: ComVisible(false)]
|
||||
|
||||
// The following GUID is for the ID of the typelib if this project is exposed to COM
|
||||
[assembly: Guid("47bce6ca-9347-4fb6-900b-770426958083")]
|
||||
|
||||
// Version information for an assembly consists of the following four values:
|
||||
//
|
||||
// Major Version
|
||||
// Minor Version
|
||||
// Build Number
|
||||
// Revision
|
||||
//
|
||||
// You can specify all the values or you can default the Build and Revision Numbers
|
||||
// by using the '*' as shown below:
|
||||
// [assembly: AssemblyVersion("1.0.*")]
|
||||
[assembly: AssemblyVersion("1.0.0.0")]
|
||||
[assembly: AssemblyFileVersion("1.0.0.0")]
|
||||
|
|
@ -0,0 +1,124 @@
|
|||
<?xml version="1.0" encoding="utf-8"?>
|
||||
<Project ToolsVersion="15.0" xmlns="http://schemas.microsoft.com/developer/msbuild/2003">
|
||||
<Import Project="$(MSBuildExtensionsPath)\$(MSBuildToolsVersion)\Microsoft.Common.props" Condition="Exists('$(MSBuildExtensionsPath)\$(MSBuildToolsVersion)\Microsoft.Common.props')" />
|
||||
<PropertyGroup>
|
||||
<Configuration Condition=" '$(Configuration)' == '' ">Debug</Configuration>
|
||||
<Platform Condition=" '$(Platform)' == '' ">AnyCPU</Platform>
|
||||
<ProjectGuid>{47BCE6CA-9347-4FB6-900B-770426958083}</ProjectGuid>
|
||||
<OutputType>Library</OutputType>
|
||||
<AppDesignerFolder>Properties</AppDesignerFolder>
|
||||
<RootNamespace>Sketch2Code.AI</RootNamespace>
|
||||
<AssemblyName>Sketch2Code.AI</AssemblyName>
|
||||
<TargetFrameworkVersion>v4.6.1</TargetFrameworkVersion>
|
||||
<FileAlignment>512</FileAlignment>
|
||||
</PropertyGroup>
|
||||
<PropertyGroup Condition=" '$(Configuration)|$(Platform)' == 'Debug|AnyCPU' ">
|
||||
<DebugSymbols>true</DebugSymbols>
|
||||
<DebugType>full</DebugType>
|
||||
<Optimize>false</Optimize>
|
||||
<OutputPath>bin\Debug\</OutputPath>
|
||||
<DefineConstants>DEBUG;TRACE</DefineConstants>
|
||||
<ErrorReport>prompt</ErrorReport>
|
||||
<WarningLevel>4</WarningLevel>
|
||||
</PropertyGroup>
|
||||
<PropertyGroup Condition=" '$(Configuration)|$(Platform)' == 'Release|AnyCPU' ">
|
||||
<DebugType>pdbonly</DebugType>
|
||||
<Optimize>true</Optimize>
|
||||
<OutputPath>bin\Release\</OutputPath>
|
||||
<DefineConstants>TRACE</DefineConstants>
|
||||
<ErrorReport>prompt</ErrorReport>
|
||||
<WarningLevel>4</WarningLevel>
|
||||
</PropertyGroup>
|
||||
<ItemGroup>
|
||||
<Reference Include="Microsoft.Azure.CognitiveServices.Vision.CustomVision.Prediction, Version=0.10.0.0, Culture=neutral, PublicKeyToken=31bf3856ad364e35, processorArchitecture=MSIL">
|
||||
<HintPath>..\packages\Microsoft.Azure.CognitiveServices.Vision.CustomVision.Prediction.0.10.0-preview\lib\net452\Microsoft.Azure.CognitiveServices.Vision.CustomVision.Prediction.dll</HintPath>
|
||||
</Reference>
|
||||
<Reference Include="Microsoft.Azure.CognitiveServices.Vision.CustomVision.Training, Version=0.10.0.0, Culture=neutral, PublicKeyToken=31bf3856ad364e35, processorArchitecture=MSIL">
|
||||
<HintPath>..\packages\Microsoft.Azure.CognitiveServices.Vision.CustomVision.Training.0.10.0-preview\lib\net452\Microsoft.Azure.CognitiveServices.Vision.CustomVision.Training.dll</HintPath>
|
||||
</Reference>
|
||||
<Reference Include="Microsoft.Azure.KeyVault.Core, Version=1.0.0.0, Culture=neutral, PublicKeyToken=31bf3856ad364e35, processorArchitecture=MSIL">
|
||||
<HintPath>..\packages\Microsoft.Azure.KeyVault.Core.1.0.0\lib\net40\Microsoft.Azure.KeyVault.Core.dll</HintPath>
|
||||
</Reference>
|
||||
<Reference Include="Microsoft.Data.Edm, Version=5.8.1.0, Culture=neutral, PublicKeyToken=31bf3856ad364e35, processorArchitecture=MSIL">
|
||||
<HintPath>..\packages\Microsoft.Data.Edm.5.8.2\lib\net40\Microsoft.Data.Edm.dll</HintPath>
|
||||
</Reference>
|
||||
<Reference Include="Microsoft.Data.OData, Version=5.8.1.0, Culture=neutral, PublicKeyToken=31bf3856ad364e35, processorArchitecture=MSIL">
|
||||
<HintPath>..\packages\Microsoft.Data.OData.5.8.2\lib\net40\Microsoft.Data.OData.dll</HintPath>
|
||||
</Reference>
|
||||
<Reference Include="Microsoft.Data.Services.Client, Version=5.8.1.0, Culture=neutral, PublicKeyToken=31bf3856ad364e35, processorArchitecture=MSIL">
|
||||
<HintPath>..\packages\Microsoft.Data.Services.Client.5.8.2\lib\net40\Microsoft.Data.Services.Client.dll</HintPath>
|
||||
</Reference>
|
||||
<Reference Include="Microsoft.ProjectOxford.Vision, Version=1.0.393.0, Culture=neutral, PublicKeyToken=31bf3856ad364e35, processorArchitecture=MSIL">
|
||||
<HintPath>..\packages\Microsoft.ProjectOxford.Vision.1.0.393\lib\portable-net45+win+wpa81+wp80+MonoAndroid10+xamarinios10+MonoTouch10\Microsoft.ProjectOxford.Vision.dll</HintPath>
|
||||
</Reference>
|
||||
<Reference Include="Microsoft.Rest.ClientRuntime, Version=2.0.0.0, Culture=neutral, PublicKeyToken=31bf3856ad364e35, processorArchitecture=MSIL">
|
||||
<HintPath>..\packages\Microsoft.Rest.ClientRuntime.2.3.11\lib\net452\Microsoft.Rest.ClientRuntime.dll</HintPath>
|
||||
</Reference>
|
||||
<Reference Include="Microsoft.Rest.ClientRuntime.Azure, Version=3.0.0.0, Culture=neutral, PublicKeyToken=31bf3856ad364e35, processorArchitecture=MSIL">
|
||||
<HintPath>..\packages\Microsoft.Rest.ClientRuntime.Azure.3.3.12\lib\net452\Microsoft.Rest.ClientRuntime.Azure.dll</HintPath>
|
||||
</Reference>
|
||||
<Reference Include="Microsoft.WindowsAzure.Storage, Version=8.7.0.0, Culture=neutral, PublicKeyToken=31bf3856ad364e35, processorArchitecture=MSIL">
|
||||
<HintPath>..\packages\WindowsAzure.Storage.8.7.0\lib\net45\Microsoft.WindowsAzure.Storage.dll</HintPath>
|
||||
</Reference>
|
||||
<Reference Include="Newtonsoft.Json, Version=9.0.0.0, Culture=neutral, PublicKeyToken=30ad4fe6b2a6aeed, processorArchitecture=MSIL">
|
||||
<HintPath>..\packages\Newtonsoft.Json.9.0.1\lib\net45\Newtonsoft.Json.dll</HintPath>
|
||||
</Reference>
|
||||
<Reference Include="System" />
|
||||
<Reference Include="System.Configuration" />
|
||||
<Reference Include="System.Core" />
|
||||
<Reference Include="System.Data.OracleClient" />
|
||||
<Reference Include="System.Drawing" />
|
||||
<Reference Include="System.Net" />
|
||||
<Reference Include="System.Net.Http, Version=4.1.1.2, Culture=neutral, PublicKeyToken=b03f5f7f11d50a3a, processorArchitecture=MSIL">
|
||||
<HintPath>..\packages\System.Net.Http.4.3.3\lib\net46\System.Net.Http.dll</HintPath>
|
||||
</Reference>
|
||||
<Reference Include="System.Net.Http.WebRequest" />
|
||||
<Reference Include="System.Security.AccessControl, Version=4.1.1.0, Culture=neutral, PublicKeyToken=b03f5f7f11d50a3a, processorArchitecture=MSIL">
|
||||
<HintPath>..\packages\System.Security.AccessControl.4.5.0\lib\net461\System.Security.AccessControl.dll</HintPath>
|
||||
</Reference>
|
||||
<Reference Include="System.Security.Cryptography.Algorithms, Version=4.1.0.0, Culture=neutral, PublicKeyToken=b03f5f7f11d50a3a, processorArchitecture=MSIL">
|
||||
<HintPath>..\packages\System.Security.Cryptography.Algorithms.4.3.0\lib\net461\System.Security.Cryptography.Algorithms.dll</HintPath>
|
||||
</Reference>
|
||||
<Reference Include="System.Security.Cryptography.Encoding, Version=4.0.1.0, Culture=neutral, PublicKeyToken=b03f5f7f11d50a3a, processorArchitecture=MSIL">
|
||||
<HintPath>..\packages\System.Security.Cryptography.Encoding.4.3.0\lib\net46\System.Security.Cryptography.Encoding.dll</HintPath>
|
||||
</Reference>
|
||||
<Reference Include="System.Security.Cryptography.Primitives, Version=4.0.1.0, Culture=neutral, PublicKeyToken=b03f5f7f11d50a3a, processorArchitecture=MSIL">
|
||||
<HintPath>..\packages\System.Security.Cryptography.Primitives.4.3.0\lib\net46\System.Security.Cryptography.Primitives.dll</HintPath>
|
||||
</Reference>
|
||||
<Reference Include="System.Security.Cryptography.X509Certificates, Version=4.1.1.0, Culture=neutral, PublicKeyToken=b03f5f7f11d50a3a, processorArchitecture=MSIL">
|
||||
<HintPath>..\packages\System.Security.Cryptography.X509Certificates.4.3.0\lib\net461\System.Security.Cryptography.X509Certificates.dll</HintPath>
|
||||
</Reference>
|
||||
<Reference Include="System.Security.Permissions, Version=4.0.1.0, Culture=neutral, PublicKeyToken=cc7b13ffcd2ddd51, processorArchitecture=MSIL">
|
||||
<HintPath>..\packages\System.Security.Permissions.4.5.0\lib\net461\System.Security.Permissions.dll</HintPath>
|
||||
</Reference>
|
||||
<Reference Include="System.Security.Principal.Windows, Version=4.1.1.0, Culture=neutral, PublicKeyToken=b03f5f7f11d50a3a, processorArchitecture=MSIL">
|
||||
<HintPath>..\packages\System.Security.Principal.Windows.4.5.0\lib\net461\System.Security.Principal.Windows.dll</HintPath>
|
||||
</Reference>
|
||||
<Reference Include="System.ServiceProcess" />
|
||||
<Reference Include="System.Spatial, Version=5.8.1.0, Culture=neutral, PublicKeyToken=31bf3856ad364e35, processorArchitecture=MSIL">
|
||||
<HintPath>..\packages\System.Spatial.5.8.2\lib\net40\System.Spatial.dll</HintPath>
|
||||
</Reference>
|
||||
<Reference Include="System.Transactions" />
|
||||
<Reference Include="System.Xml.Linq" />
|
||||
<Reference Include="System.Data.DataSetExtensions" />
|
||||
<Reference Include="Microsoft.CSharp" />
|
||||
<Reference Include="System.Data" />
|
||||
<Reference Include="System.Xml" />
|
||||
</ItemGroup>
|
||||
<ItemGroup>
|
||||
<Compile Include="CustomVisionClient.cs" />
|
||||
<Compile Include="Management\CustomVisionManager.cs" />
|
||||
<Compile Include="ObjectDetector.cs" />
|
||||
<Compile Include="Properties\AssemblyInfo.cs" />
|
||||
</ItemGroup>
|
||||
<ItemGroup>
|
||||
<None Include="app.config" />
|
||||
<None Include="packages.config" />
|
||||
</ItemGroup>
|
||||
<Import Project="$(MSBuildToolsPath)\Microsoft.CSharp.targets" />
|
||||
<Import Project="..\packages\Microsoft.Bcl.Build.1.0.14\tools\Microsoft.Bcl.Build.targets" Condition="Exists('..\packages\Microsoft.Bcl.Build.1.0.14\tools\Microsoft.Bcl.Build.targets')" />
|
||||
<Target Name="EnsureBclBuildImported" BeforeTargets="BeforeBuild" Condition="'$(BclBuildImported)' == ''">
|
||||
<Error Condition="!Exists('..\packages\Microsoft.Bcl.Build.1.0.14\tools\Microsoft.Bcl.Build.targets')" Text="This project references NuGet package(s) that are missing on this computer. Enable NuGet Package Restore to download them. For more information, see http://go.microsoft.com/fwlink/?LinkID=317567." HelpKeyword="BCLBUILD2001" />
|
||||
<Error Condition="Exists('..\packages\Microsoft.Bcl.Build.1.0.14\tools\Microsoft.Bcl.Build.targets')" Text="The build restored NuGet packages. Build the project again to include these packages in the build. For more information, see http://go.microsoft.com/fwlink/?LinkID=317568." HelpKeyword="BCLBUILD2002" />
|
||||
</Target>
|
||||
</Project>
|
||||
|
|
@ -0,0 +1,15 @@
|
|||
<?xml version="1.0" encoding="utf-8"?>
|
||||
<configuration>
|
||||
<runtime>
|
||||
<assemblyBinding xmlns="urn:schemas-microsoft-com:asm.v1">
|
||||
<dependentAssembly>
|
||||
<assemblyIdentity name="Newtonsoft.Json" publicKeyToken="30ad4fe6b2a6aeed" culture="neutral" />
|
||||
<bindingRedirect oldVersion="0.0.0.0-9.0.0.0" newVersion="9.0.0.0" />
|
||||
</dependentAssembly>
|
||||
<dependentAssembly>
|
||||
<assemblyIdentity name="System.Net.Http" publicKeyToken="b03f5f7f11d50a3a" culture="neutral" />
|
||||
<bindingRedirect oldVersion="0.0.0.0-4.1.1.2" newVersion="4.1.1.2" />
|
||||
</dependentAssembly>
|
||||
</assemblyBinding>
|
||||
</runtime>
|
||||
</configuration>
|
||||
|
|
@ -0,0 +1,29 @@
|
|||
<?xml version="1.0" encoding="utf-8"?>
|
||||
<packages>
|
||||
<package id="Microsoft.Azure.CognitiveServices.Vision.CustomVision.Prediction" version="0.10.0-preview" targetFramework="net461" />
|
||||
<package id="Microsoft.Azure.CognitiveServices.Vision.CustomVision.Training" version="0.10.0-preview" targetFramework="net461" />
|
||||
<package id="Microsoft.Azure.KeyVault.Core" version="1.0.0" targetFramework="net461" />
|
||||
<package id="Microsoft.Bcl" version="1.1.10" targetFramework="net461" />
|
||||
<package id="Microsoft.Bcl.Build" version="1.0.14" targetFramework="net461" />
|
||||
<package id="Microsoft.Data.Edm" version="5.8.4" targetFramework="net461" />
|
||||
<package id="Microsoft.Data.OData" version="5.8.4" targetFramework="net461" />
|
||||
<package id="Microsoft.Data.Services.Client" version="5.8.4" targetFramework="net461" />
|
||||
<package id="Microsoft.ProjectOxford.Vision" version="1.0.393" targetFramework="net461" />
|
||||
<package id="Microsoft.Rest.ClientRuntime" version="2.3.11" targetFramework="net461" />
|
||||
<package id="Microsoft.Rest.ClientRuntime.Azure" version="3.3.12" targetFramework="net461" />
|
||||
<package id="Newtonsoft.Json" version="9.0.1" targetFramework="net461" />
|
||||
<package id="System.ComponentModel.EventBasedAsync" version="4.0.11" targetFramework="net461" />
|
||||
<package id="System.Dynamic.Runtime" version="4.0.0" targetFramework="net461" />
|
||||
<package id="System.Linq.Queryable" version="4.0.0" targetFramework="net461" />
|
||||
<package id="System.Net.Http" version="4.3.3" targetFramework="net461" />
|
||||
<package id="System.Net.Requests" version="4.0.11" targetFramework="net461" />
|
||||
<package id="System.Security.AccessControl" version="4.5.0" targetFramework="net461" />
|
||||
<package id="System.Security.Cryptography.Algorithms" version="4.3.0" targetFramework="net461" />
|
||||
<package id="System.Security.Cryptography.Encoding" version="4.3.0" targetFramework="net461" />
|
||||
<package id="System.Security.Cryptography.Primitives" version="4.3.0" targetFramework="net461" />
|
||||
<package id="System.Security.Cryptography.X509Certificates" version="4.3.0" targetFramework="net461" />
|
||||
<package id="System.Security.Permissions" version="4.5.0" targetFramework="net461" />
|
||||
<package id="System.Security.Principal.Windows" version="4.5.0" targetFramework="net461" />
|
||||
<package id="System.Spatial" version="5.8.2" targetFramework="net461" />
|
||||
<package id="WindowsAzure.Storage" version="8.7.0" targetFramework="net461" />
|
||||
</packages>
|
||||
|
|
@ -0,0 +1,264 @@
|
|||
## Ignore Visual Studio temporary files, build results, and
|
||||
## files generated by popular Visual Studio add-ons.
|
||||
|
||||
# Azure Functions localsettings file
|
||||
local.settings.json
|
||||
|
||||
# User-specific files
|
||||
*.suo
|
||||
*.user
|
||||
*.userosscache
|
||||
*.sln.docstates
|
||||
|
||||
# User-specific files (MonoDevelop/Xamarin Studio)
|
||||
*.userprefs
|
||||
|
||||
# Build results
|
||||
[Dd]ebug/
|
||||
[Dd]ebugPublic/
|
||||
[Rr]elease/
|
||||
[Rr]eleases/
|
||||
x64/
|
||||
x86/
|
||||
bld/
|
||||
[Bb]in/
|
||||
[Oo]bj/
|
||||
[Ll]og/
|
||||
|
||||
# Visual Studio 2015 cache/options directory
|
||||
.vs/
|
||||
# Uncomment if you have tasks that create the project's static files in wwwroot
|
||||
#wwwroot/
|
||||
|
||||
# MSTest test Results
|
||||
[Tt]est[Rr]esult*/
|
||||
[Bb]uild[Ll]og.*
|
||||
|
||||
# NUNIT
|
||||
*.VisualState.xml
|
||||
TestResult.xml
|
||||
|
||||
# Build Results of an ATL Project
|
||||
[Dd]ebugPS/
|
||||
[Rr]eleasePS/
|
||||
dlldata.c
|
||||
|
||||
# DNX
|
||||
project.lock.json
|
||||
project.fragment.lock.json
|
||||
artifacts/
|
||||
|
||||
*_i.c
|
||||
*_p.c
|
||||
*_i.h
|
||||
*.ilk
|
||||
*.meta
|
||||
*.obj
|
||||
*.pch
|
||||
*.pdb
|
||||
*.pgc
|
||||
*.pgd
|
||||
*.rsp
|
||||
*.sbr
|
||||
*.tlb
|
||||
*.tli
|
||||
*.tlh
|
||||
*.tmp
|
||||
*.tmp_proj
|
||||
*.log
|
||||
*.vspscc
|
||||
*.vssscc
|
||||
.builds
|
||||
*.pidb
|
||||
*.svclog
|
||||
*.scc
|
||||
|
||||
# Chutzpah Test files
|
||||
_Chutzpah*
|
||||
|
||||
# Visual C++ cache files
|
||||
ipch/
|
||||
*.aps
|
||||
*.ncb
|
||||
*.opendb
|
||||
*.opensdf
|
||||
*.sdf
|
||||
*.cachefile
|
||||
*.VC.db
|
||||
*.VC.VC.opendb
|
||||
|
||||
# Visual Studio profiler
|
||||
*.psess
|
||||
*.vsp
|
||||
*.vspx
|
||||
*.sap
|
||||
|
||||
# TFS 2012 Local Workspace
|
||||
$tf/
|
||||
|
||||
# Guidance Automation Toolkit
|
||||
*.gpState
|
||||
|
||||
# ReSharper is a .NET coding add-in
|
||||
_ReSharper*/
|
||||
*.[Rr]e[Ss]harper
|
||||
*.DotSettings.user
|
||||
|
||||
# JustCode is a .NET coding add-in
|
||||
.JustCode
|
||||
|
||||
# TeamCity is a build add-in
|
||||
_TeamCity*
|
||||
|
||||
# DotCover is a Code Coverage Tool
|
||||
*.dotCover
|
||||
|
||||
# NCrunch
|
||||
_NCrunch_*
|
||||
.*crunch*.local.xml
|
||||
nCrunchTemp_*
|
||||
|
||||
# MightyMoose
|
||||
*.mm.*
|
||||
AutoTest.Net/
|
||||
|
||||
# Web workbench (sass)
|
||||
.sass-cache/
|
||||
|
||||
# Installshield output folder
|
||||
[Ee]xpress/
|
||||
|
||||
# DocProject is a documentation generator add-in
|
||||
DocProject/buildhelp/
|
||||
DocProject/Help/*.HxT
|
||||
DocProject/Help/*.HxC
|
||||
DocProject/Help/*.hhc
|
||||
DocProject/Help/*.hhk
|
||||
DocProject/Help/*.hhp
|
||||
DocProject/Help/Html2
|
||||
DocProject/Help/html
|
||||
|
||||
# Click-Once directory
|
||||
publish/
|
||||
|
||||
# Publish Web Output
|
||||
*.[Pp]ublish.xml
|
||||
*.azurePubxml
|
||||
# TODO: Comment the next line if you want to checkin your web deploy settings
|
||||
# but database connection strings (with potential passwords) will be unencrypted
|
||||
#*.pubxml
|
||||
*.publishproj
|
||||
|
||||
# Microsoft Azure Web App publish settings. Comment the next line if you want to
|
||||
# checkin your Azure Web App publish settings, but sensitive information contained
|
||||
# in these scripts will be unencrypted
|
||||
PublishScripts/
|
||||
|
||||
# NuGet Packages
|
||||
*.nupkg
|
||||
# The packages folder can be ignored because of Package Restore
|
||||
**/packages/*
|
||||
# except build/, which is used as an MSBuild target.
|
||||
!**/packages/build/
|
||||
# Uncomment if necessary however generally it will be regenerated when needed
|
||||
#!**/packages/repositories.config
|
||||
# NuGet v3's project.json files produces more ignoreable files
|
||||
*.nuget.props
|
||||
*.nuget.targets
|
||||
|
||||
# Microsoft Azure Build Output
|
||||
csx/
|
||||
*.build.csdef
|
||||
|
||||
# Microsoft Azure Emulator
|
||||
ecf/
|
||||
rcf/
|
||||
|
||||
# Windows Store app package directories and files
|
||||
AppPackages/
|
||||
BundleArtifacts/
|
||||
Package.StoreAssociation.xml
|
||||
_pkginfo.txt
|
||||
|
||||
# Visual Studio cache files
|
||||
# files ending in .cache can be ignored
|
||||
*.[Cc]ache
|
||||
# but keep track of directories ending in .cache
|
||||
!*.[Cc]ache/
|
||||
|
||||
# Others
|
||||
ClientBin/
|
||||
~$*
|
||||
*~
|
||||
*.dbmdl
|
||||
*.dbproj.schemaview
|
||||
*.jfm
|
||||
*.pfx
|
||||
*.publishsettings
|
||||
node_modules/
|
||||
orleans.codegen.cs
|
||||
|
||||
# Since there are multiple workflows, uncomment next line to ignore bower_components
|
||||
# (https://github.com/github/gitignore/pull/1529#issuecomment-104372622)
|
||||
#bower_components/
|
||||
|
||||
# RIA/Silverlight projects
|
||||
Generated_Code/
|
||||
|
||||
# Backup & report files from converting an old project file
|
||||
# to a newer Visual Studio version. Backup files are not needed,
|
||||
# because we have git ;-)
|
||||
_UpgradeReport_Files/
|
||||
Backup*/
|
||||
UpgradeLog*.XML
|
||||
UpgradeLog*.htm
|
||||
|
||||
# SQL Server files
|
||||
*.mdf
|
||||
*.ldf
|
||||
|
||||
# Business Intelligence projects
|
||||
*.rdl.data
|
||||
*.bim.layout
|
||||
*.bim_*.settings
|
||||
|
||||
# Microsoft Fakes
|
||||
FakesAssemblies/
|
||||
|
||||
# GhostDoc plugin setting file
|
||||
*.GhostDoc.xml
|
||||
|
||||
# Node.js Tools for Visual Studio
|
||||
.ntvs_analysis.dat
|
||||
|
||||
# Visual Studio 6 build log
|
||||
*.plg
|
||||
|
||||
# Visual Studio 6 workspace options file
|
||||
*.opt
|
||||
|
||||
# Visual Studio LightSwitch build output
|
||||
**/*.HTMLClient/GeneratedArtifacts
|
||||
**/*.DesktopClient/GeneratedArtifacts
|
||||
**/*.DesktopClient/ModelManifest.xml
|
||||
**/*.Server/GeneratedArtifacts
|
||||
**/*.Server/ModelManifest.xml
|
||||
_Pvt_Extensions
|
||||
|
||||
# Paket dependency manager
|
||||
.paket/paket.exe
|
||||
paket-files/
|
||||
|
||||
# FAKE - F# Make
|
||||
.fake/
|
||||
|
||||
# JetBrains Rider
|
||||
.idea/
|
||||
*.sln.iml
|
||||
|
||||
# CodeRush
|
||||
.cr/
|
||||
|
||||
# Python Tools for Visual Studio (PTVS)
|
||||
__pycache__/
|
||||
*.pyc
|
||||
|
|
@ -0,0 +1,59 @@
|
|||
using System;
|
||||
using System.Linq;
|
||||
using System.Net;
|
||||
using System.Net.Http;
|
||||
using System.Net.Http.Headers;
|
||||
using System.Text;
|
||||
using System.Threading.Tasks;
|
||||
using Sketch2Code.AI;
|
||||
using Sketch2Code.Core;
|
||||
using Microsoft.Azure.WebJobs;
|
||||
using Microsoft.Azure.WebJobs.Extensions.Http;
|
||||
using Microsoft.Azure.WebJobs.Host;
|
||||
using Newtonsoft.Json;
|
||||
using Westwind.RazorHosting;
|
||||
using Sketch2Code.Core.Helpers;
|
||||
using System.Globalization;
|
||||
using Microsoft.Extensions.Logging;
|
||||
using System.Configuration;
|
||||
using Freezer.Core;
|
||||
using Microsoft.ApplicationInsights;
|
||||
using System.Diagnostics;
|
||||
using System.Collections.Generic;
|
||||
using Microsoft.ApplicationInsights.DataContracts;
|
||||
|
||||
namespace Sketch2Code.Api
|
||||
{
|
||||
public static class ObjectDetection
|
||||
{
|
||||
[FunctionName("detection")]
|
||||
public static async Task<HttpResponseMessage> Run([HttpTrigger(AuthorizationLevel.Function, "post", Route = null)]HttpRequestMessage req, TraceWriter log)
|
||||
{
|
||||
//Get image byte array from request
|
||||
var content = await req.Content.ReadAsByteArrayAsync();
|
||||
|
||||
if (content == null || content.Length == 0)
|
||||
return req.CreateResponse(HttpStatusCode.BadRequest, "Request content is empty.");
|
||||
else
|
||||
log.Info($"found binary content->Size: {content.Length} bytes");
|
||||
|
||||
//Use correlationId to identify each session and results
|
||||
var correlationID = req.GetCorrelationId().ToString();
|
||||
|
||||
//Pass byte array to object detector app service
|
||||
var objectDetector = new ObjectDetectionAppService();
|
||||
var result = await objectDetector.GetPredictionAsync(content);
|
||||
|
||||
if (result != null)
|
||||
{
|
||||
await objectDetector.SaveResults(result, correlationID);
|
||||
await objectDetector.SaveResults(content, correlationID, "original.png");
|
||||
await objectDetector.SaveResults(content.DrawRectangle(result), correlationID, "predicted.png");
|
||||
byte[] jsonContent = Encoding.UTF8.GetBytes(JsonConvert.SerializeObject(result));
|
||||
await objectDetector.SaveResults(jsonContent, correlationID, "results.json");
|
||||
}
|
||||
|
||||
return req.CreateResponse(HttpStatusCode.OK, correlationID);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
|
@ -0,0 +1,33 @@
|
|||
<Project Sdk="Microsoft.NET.Sdk">
|
||||
<PropertyGroup>
|
||||
<TargetFramework>net461</TargetFramework>
|
||||
</PropertyGroup>
|
||||
<ItemGroup>
|
||||
<PackageReference Include="BootstrapMvc.Bootstrap3Mvc5" Version="2.3.1" />
|
||||
<PackageReference Include="Freezer" Version="1.0.1.5" />
|
||||
<PackageReference Include="Microsoft.Azure.WebJobs.Logging.ApplicationInsights" Version="2.2.0" />
|
||||
<PackageReference Include="Microsoft.Extensions.Logging" Version="2.1.1" />
|
||||
<PackageReference Include="Microsoft.NET.Sdk.Functions" Version="1.0.13" />
|
||||
<PackageReference Include="Westwind.RazorHosting" Version="3.3.0" />
|
||||
<PackageReference Include="WindowsAzure.Storage" Version="8.7.0" />
|
||||
</ItemGroup>
|
||||
<ItemGroup>
|
||||
<ProjectReference Include="..\Sketch2Code.Core\Sketch2Code.Core.csproj" />
|
||||
</ItemGroup>
|
||||
<ItemGroup>
|
||||
<Reference Include="Microsoft.CSharp" />
|
||||
<Reference Include="System.Configuration" />
|
||||
</ItemGroup>
|
||||
<ItemGroup>
|
||||
<None Update="host.json">
|
||||
<CopyToOutputDirectory>PreserveNewest</CopyToOutputDirectory>
|
||||
</None>
|
||||
<None Update="local.settings.json">
|
||||
<CopyToOutputDirectory>PreserveNewest</CopyToOutputDirectory>
|
||||
<CopyToPublishDirectory>Never</CopyToPublishDirectory>
|
||||
</None>
|
||||
</ItemGroup>
|
||||
<ItemGroup>
|
||||
<Folder Include="Properties\" />
|
||||
</ItemGroup>
|
||||
</Project>
|
||||
|
|
@ -0,0 +1,3 @@
|
|||
{
|
||||
|
||||
}
|
||||
|
|
@ -0,0 +1,71 @@
|
|||
<?xml version="1.0" encoding="utf-8"?>
|
||||
<ApplicationInsights xmlns="http://schemas.microsoft.com/ApplicationInsights/2013/Settings">
|
||||
<TelemetryInitializers>
|
||||
<Add Type="Microsoft.ApplicationInsights.DependencyCollector.HttpDependenciesParsingTelemetryInitializer, Microsoft.AI.DependencyCollector"/>
|
||||
<Add Type="Microsoft.ApplicationInsights.WindowsServer.AzureRoleEnvironmentTelemetryInitializer, Microsoft.AI.WindowsServer"/>
|
||||
<Add Type="Microsoft.ApplicationInsights.WindowsServer.AzureWebAppRoleEnvironmentTelemetryInitializer, Microsoft.AI.WindowsServer"/>
|
||||
<Add Type="Microsoft.ApplicationInsights.WindowsServer.BuildInfoConfigComponentVersionTelemetryInitializer, Microsoft.AI.WindowsServer"/>
|
||||
</TelemetryInitializers>
|
||||
<TelemetryModules>
|
||||
<Add Type="Microsoft.ApplicationInsights.DependencyCollector.DependencyTrackingTelemetryModule, Microsoft.AI.DependencyCollector">
|
||||
<ExcludeComponentCorrelationHttpHeadersOnDomains>
|
||||
<!--
|
||||
Requests to the following hostnames will not be modified by adding correlation headers.
|
||||
This is only applicable if Profiler is installed via either StatusMonitor or Azure Extension.
|
||||
Add entries here to exclude additional hostnames.
|
||||
NOTE: this configuration will be lost upon NuGet upgrade.
|
||||
-->
|
||||
<Add>core.windows.net</Add>
|
||||
<Add>core.chinacloudapi.cn</Add>
|
||||
<Add>core.cloudapi.de</Add>
|
||||
<Add>core.usgovcloudapi.net</Add>
|
||||
<Add>localhost</Add>
|
||||
<Add>127.0.0.1</Add>
|
||||
</ExcludeComponentCorrelationHttpHeadersOnDomains>
|
||||
</Add>
|
||||
<Add Type="Microsoft.ApplicationInsights.Extensibility.PerfCounterCollector.PerformanceCollectorModule, Microsoft.AI.PerfCounterCollector">
|
||||
<!--
|
||||
Use the following syntax here to collect additional performance counters:
|
||||
|
||||
<Counters>
|
||||
<Add PerformanceCounter="\Process(??APP_WIN32_PROC??)\Handle Count" ReportAs="Process handle count" />
|
||||
...
|
||||
</Counters>
|
||||
|
||||
PerformanceCounter must be either \CategoryName(InstanceName)\CounterName or \CategoryName\CounterName
|
||||
|
||||
NOTE: performance counters configuration will be lost upon NuGet upgrade.
|
||||
|
||||
The following placeholders are supported as InstanceName:
|
||||
??APP_WIN32_PROC?? - instance name of the application process for Win32 counters.
|
||||
??APP_W3SVC_PROC?? - instance name of the application IIS worker process for IIS/ASP.NET counters.
|
||||
??APP_CLR_PROC?? - instance name of the application CLR process for .NET counters.
|
||||
-->
|
||||
</Add>
|
||||
<Add Type="Microsoft.ApplicationInsights.Extensibility.PerfCounterCollector.QuickPulse.QuickPulseTelemetryModule, Microsoft.AI.PerfCounterCollector"/>
|
||||
<Add Type="Microsoft.ApplicationInsights.WindowsServer.DeveloperModeWithDebuggerAttachedTelemetryModule, Microsoft.AI.WindowsServer"/>
|
||||
<Add Type="Microsoft.ApplicationInsights.WindowsServer.UnhandledExceptionTelemetryModule, Microsoft.AI.WindowsServer"/>
|
||||
<Add Type="Microsoft.ApplicationInsights.WindowsServer.UnobservedExceptionTelemetryModule, Microsoft.AI.WindowsServer">
|
||||
<!--</Add>
|
||||
<Add Type="Microsoft.ApplicationInsights.WindowsServer.FirstChanceExceptionStatisticsTelemetryModule, Microsoft.AI.WindowsServer">-->
|
||||
</Add>
|
||||
</TelemetryModules>
|
||||
<TelemetryProcessors>
|
||||
<Add Type="Microsoft.ApplicationInsights.Extensibility.PerfCounterCollector.QuickPulse.QuickPulseTelemetryProcessor, Microsoft.AI.PerfCounterCollector"/>
|
||||
<Add Type="Microsoft.ApplicationInsights.Extensibility.AutocollectedMetricsExtractor, Microsoft.ApplicationInsights"/>
|
||||
<Add Type="Microsoft.ApplicationInsights.WindowsServer.TelemetryChannel.AdaptiveSamplingTelemetryProcessor, Microsoft.AI.ServerTelemetryChannel">
|
||||
<MaxTelemetryItemsPerSecond>5</MaxTelemetryItemsPerSecond>
|
||||
<ExcludedTypes>Event</ExcludedTypes>
|
||||
</Add>
|
||||
<Add Type="Microsoft.ApplicationInsights.WindowsServer.TelemetryChannel.AdaptiveSamplingTelemetryProcessor, Microsoft.AI.ServerTelemetryChannel">
|
||||
<MaxTelemetryItemsPerSecond>5</MaxTelemetryItemsPerSecond>
|
||||
<IncludedTypes>Event</IncludedTypes>
|
||||
</Add>
|
||||
</TelemetryProcessors>
|
||||
<TelemetryChannel Type="Microsoft.ApplicationInsights.WindowsServer.TelemetryChannel.ServerTelemetryChannel, Microsoft.AI.ServerTelemetryChannel"/>
|
||||
<!--
|
||||
Learn more about Application Insights configuration with ApplicationInsights.config here:
|
||||
http://go.microsoft.com/fwlink/?LinkID=513840
|
||||
|
||||
Note: If not present, please add <InstrumentationKey>Your Key</InstrumentationKey> to the top of this file.
|
||||
--></ApplicationInsights>
|
||||
|
|
@ -0,0 +1,441 @@
|
|||
using Sketch2Code.Core.Entities;
|
||||
using System;
|
||||
using System.Collections.Generic;
|
||||
using System.Linq;
|
||||
using System.Text;
|
||||
using System.Threading.Tasks;
|
||||
|
||||
namespace Sketch2Code.Core.BoxGeometry
|
||||
{
|
||||
public class Geometry
|
||||
{
|
||||
public void AlignTop(List<BoundingBox> testBoxes)
|
||||
{
|
||||
double average = testBoxes.Average(p => p.Top);
|
||||
|
||||
foreach (BoundingBox b in testBoxes)
|
||||
{
|
||||
b.Top = average;
|
||||
}
|
||||
}
|
||||
|
||||
public void AlignLeft(List<BoundingBox> testBoxes)
|
||||
{
|
||||
double average = testBoxes.Average(p => p.Left);
|
||||
|
||||
foreach (BoundingBox b in testBoxes)
|
||||
{
|
||||
b.Left = average;
|
||||
}
|
||||
}
|
||||
|
||||
public void MakeSameSize(List<BoundingBox> testBoxes)
|
||||
{
|
||||
double wAvg = testBoxes.Average(p => p.Width);
|
||||
double hAvg = testBoxes.Average(p => p.Height);
|
||||
|
||||
|
||||
foreach (BoundingBox b in testBoxes)
|
||||
{
|
||||
b.Height = hAvg;
|
||||
b.Width = wAvg;
|
||||
}
|
||||
}
|
||||
|
||||
public bool IsBoxInVerticalRange(BoundingBox master, BoundingBox child)
|
||||
{
|
||||
return child.MiddleHeight > master.Top && child.MiddleHeight < (master.Top + master.Height);
|
||||
}
|
||||
|
||||
public bool IsBoxInHorizontalRange(BoundingBox master, BoundingBox child)
|
||||
{
|
||||
return child.MiddleWidth > master.Top && child.MiddleWidth < (master.Left + master.Width);
|
||||
}
|
||||
|
||||
public ProjectionRuler BuildProjectionRuler(List<BoundingBox> boxes, ProjectionAxisEnum axis)
|
||||
{
|
||||
ProjectionRuler ruler = new ProjectionRuler();
|
||||
|
||||
List<SliceSection> slices = buildSlices(boxes, axis);
|
||||
fillSlices(boxes, slices,axis);
|
||||
|
||||
Section s = new Section();
|
||||
s.Slices.Add(slices[0]);
|
||||
ruler.Sections.Add(s);
|
||||
|
||||
bool isEmpty = false;
|
||||
|
||||
for (int i = 1; i < slices.Count; i++)
|
||||
{
|
||||
if (!isEmpty)
|
||||
{
|
||||
if (slices[i].IsEmpty)
|
||||
{
|
||||
//close previous section
|
||||
s = new Section();
|
||||
s.Slices.Add(slices[i]);
|
||||
isEmpty = true;
|
||||
ruler.Sections.Add(s);
|
||||
}
|
||||
else
|
||||
{
|
||||
//modify previous section
|
||||
s.Slices.Add(slices[i]);
|
||||
}
|
||||
}
|
||||
else
|
||||
{
|
||||
if (!slices[i].IsEmpty)
|
||||
{
|
||||
//close previous section
|
||||
s = new Section();
|
||||
s.Slices.Add(slices[i]);
|
||||
isEmpty = false;
|
||||
ruler.Sections.Add(s);
|
||||
}
|
||||
else
|
||||
{
|
||||
//modify previous section
|
||||
s.Slices.Add(slices[i]);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
return ruler;
|
||||
}
|
||||
|
||||
private static void fillSlices(List<BoundingBox> boxes, List<SliceSection> slices, ProjectionAxisEnum axis)
|
||||
{
|
||||
int first;
|
||||
int last;
|
||||
|
||||
//fill departments
|
||||
foreach (BoundingBox b in boxes)
|
||||
{
|
||||
if (axis == ProjectionAxisEnum.Y)
|
||||
{
|
||||
first = slices.FindIndex(p => (p.Start <= b.Top) && (p.End >= b.Top));
|
||||
last = slices.FindIndex(p => (p.End >= b.Top + b.Height));
|
||||
}
|
||||
else
|
||||
{
|
||||
first = slices.FindIndex(p => (p.Start <= b.Left) && (p.End >= b.Left));
|
||||
last = slices.FindIndex(p => (p.End >= b.Left + b.Width));
|
||||
}
|
||||
|
||||
for (int i = first; i <= last; i++)
|
||||
{
|
||||
slices[i].IsEmpty = false;
|
||||
slices[i].Boxes.Add(b);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
private static List<SliceSection> buildSlices(List<BoundingBox> boxes, ProjectionAxisEnum axis)
|
||||
{
|
||||
double precision = 1000;
|
||||
double min;
|
||||
double max;
|
||||
|
||||
if (axis == ProjectionAxisEnum.Y)
|
||||
{
|
||||
//calculate minimum
|
||||
min = boxes.Min(p => p.Top);
|
||||
|
||||
//calculate maximum
|
||||
max = boxes.Max(p => p.Top + p.Height);
|
||||
|
||||
}
|
||||
else
|
||||
{
|
||||
//calculate minimum
|
||||
min = boxes.Min(p => p.Left);
|
||||
|
||||
//calculate maximum
|
||||
max = boxes.Max(p => p.Left + p.Width);
|
||||
}
|
||||
|
||||
//make departments
|
||||
double sliceSize = (max - min) / precision;
|
||||
|
||||
List<SliceSection> slices = new List<SliceSection>();
|
||||
|
||||
for (double i = min; i < max; i = i + sliceSize)
|
||||
{
|
||||
SliceSection slice = new SliceSection();
|
||||
slice.Start = i;
|
||||
slice.End = i + sliceSize;
|
||||
slice.IsEmpty = true;
|
||||
slices.Add(slice);
|
||||
}
|
||||
|
||||
return slices;
|
||||
}
|
||||
|
||||
public GroupBox BuildGroups(List<BoundingBox> boxes)
|
||||
{
|
||||
GroupBox root = new GroupBox();
|
||||
root.Direction = GroupBox.GroupDirectionEnum.Vertical;
|
||||
BuildChildGroups(boxes, ProjectionAxisEnum.Y, root);
|
||||
return root.Groups[0];
|
||||
}
|
||||
public void BuildChildGroups(List<BoundingBox> boxes, ProjectionAxisEnum axis, GroupBox parent)
|
||||
{
|
||||
GroupBox g = new GroupBox();
|
||||
g.IsEmpty = false;
|
||||
|
||||
|
||||
if (axis == ProjectionAxisEnum.X)
|
||||
{
|
||||
g.Direction = GroupBox.GroupDirectionEnum.Horizontal;
|
||||
|
||||
}
|
||||
else
|
||||
{
|
||||
g.Direction = GroupBox.GroupDirectionEnum.Vertical;
|
||||
}
|
||||
|
||||
parent.Groups.Add(g);
|
||||
|
||||
if (boxes.Count > 1)
|
||||
{
|
||||
g.X = boxes.Min(p => p.Left);
|
||||
g.Y = boxes.Min(p => p.Top);
|
||||
g.Width = boxes.Max(p => p.Width);
|
||||
g.Height = boxes.Max(p => p.Height);
|
||||
|
||||
ProjectionRuler ruler = BuildProjectionRuler(boxes, axis);
|
||||
|
||||
foreach (Section sec in ruler.Sections)
|
||||
{
|
||||
if (axis == ProjectionAxisEnum.X)
|
||||
{
|
||||
BuildChildGroups(sec.Boxes, ProjectionAxisEnum.Y, g);
|
||||
}
|
||||
else
|
||||
{
|
||||
BuildChildGroups(sec.Boxes, ProjectionAxisEnum.X, g);
|
||||
}
|
||||
}
|
||||
}
|
||||
else
|
||||
{
|
||||
if (boxes.Count == 0)
|
||||
{
|
||||
g.IsEmpty = true;
|
||||
}
|
||||
if (boxes.Count == 1)
|
||||
{
|
||||
g.X = boxes.Min(p => p.Left);
|
||||
g.Y = boxes.Min(p => p.Top);
|
||||
g.Width = boxes.Max(p => p.Width);
|
||||
g.Height = boxes.Max(p => p.Height);
|
||||
|
||||
//Add the box to the structure
|
||||
g.Boxes.Add(boxes[0]);
|
||||
|
||||
CalculateAlignments(g);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
public void DeleteOverlapping(List<BoundingBox> boxes)
|
||||
{
|
||||
List<BoundingBox> toDelete = new List<BoundingBox>();
|
||||
|
||||
Overlap ovl = new Overlap();
|
||||
|
||||
foreach (BoundingBox outer in boxes)
|
||||
{
|
||||
foreach (BoundingBox inner in boxes)
|
||||
{
|
||||
if (outer != inner)
|
||||
{
|
||||
if (ovl.OverlapArea(outer, inner) > .75)
|
||||
{
|
||||
//delete the one with lower probability
|
||||
if (outer.PredictedObject.Probability > inner.PredictedObject.Probability)
|
||||
{
|
||||
toDelete.Add(inner);
|
||||
}
|
||||
else
|
||||
{
|
||||
toDelete.Add(outer);
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
foreach (BoundingBox b in toDelete)
|
||||
{
|
||||
boxes.Remove(b);
|
||||
}
|
||||
}
|
||||
|
||||
public void RemoveOverlappingOld(List<BoundingBox> boxes)
|
||||
{
|
||||
const int TO_MOVE = 50;
|
||||
|
||||
Overlap ovl = new Overlap();
|
||||
|
||||
DeleteOverlapping(boxes);
|
||||
|
||||
boxes = boxes.OrderBy(p => p.Top).ToList();
|
||||
|
||||
foreach (BoundingBox outer in boxes)
|
||||
{
|
||||
foreach (BoundingBox inner in boxes)
|
||||
{
|
||||
if (outer != inner)
|
||||
{
|
||||
if (ovl.OverlapArea(outer, inner) > 0)
|
||||
{
|
||||
double ovl_x = ovl.OverlapAreaX(outer, inner);
|
||||
double ovl_y = ovl.OverlapAreaY(outer, inner);
|
||||
|
||||
if (ovl_y > ovl_x)
|
||||
{
|
||||
//Move inner to the right
|
||||
if (inner.Left > outer.Left)
|
||||
{
|
||||
inner.Left = outer.Left + outer.Width + TO_MOVE;
|
||||
}
|
||||
else
|
||||
{
|
||||
outer.Left = inner.Left + inner.Width + TO_MOVE;
|
||||
}
|
||||
}
|
||||
else
|
||||
{
|
||||
if (inner.Top > outer.Top)
|
||||
{
|
||||
//Move inner to the bottom
|
||||
inner.Top = outer.Top + outer.Height + TO_MOVE;
|
||||
}
|
||||
else
|
||||
{
|
||||
//Move outer to the bottom
|
||||
outer.Top = inner.Top + inner.Height + TO_MOVE;
|
||||
}
|
||||
|
||||
//Move everything down 100
|
||||
List<BoundingBox> toMove = boxes.Where(p => p.Top > inner.Top + inner.Height).ToList();
|
||||
|
||||
foreach (BoundingBox b in toMove)
|
||||
{
|
||||
b.Top = b.Top + TO_MOVE;
|
||||
}
|
||||
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
public void RemoveOverlapping(List<BoundingBox> boxes)
|
||||
{
|
||||
RemoveOverlappingY(boxes);
|
||||
RemoveOverlappingX(boxes);
|
||||
DeleteOverlapping(boxes);
|
||||
}
|
||||
|
||||
public void RemoveOverlappingY(List<BoundingBox> boxes)
|
||||
{
|
||||
const int TO_MOVE = 50;
|
||||
|
||||
Overlap ovl = new Overlap();
|
||||
|
||||
boxes = boxes.OrderBy(p => p.Top).ToList();
|
||||
|
||||
for (int i = 0; i < boxes.Count; i++)
|
||||
{
|
||||
BoundingBox outer = boxes[i];
|
||||
|
||||
for (int j = i+1; j < boxes.Count; j++)
|
||||
{
|
||||
BoundingBox inner = boxes[j];
|
||||
|
||||
if (ovl.OverlapAreaY(outer, inner) < .75)
|
||||
{
|
||||
if (ovl.OverlapAreaY(outer, inner) < .25)
|
||||
{
|
||||
//move down
|
||||
inner.Top = inner.Top + TO_MOVE;
|
||||
}
|
||||
|
||||
if (ovl.OverlapArea(outer, inner) > 0)
|
||||
{
|
||||
//move down
|
||||
inner.Top = outer.Top + outer.Height + TO_MOVE;
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
public void RemoveOverlappingX(List<BoundingBox> boxes)
|
||||
{
|
||||
const int TO_MOVE = 50;
|
||||
|
||||
Overlap ovl = new Overlap();
|
||||
|
||||
boxes = boxes.OrderBy(p => p.Left).ToList();
|
||||
|
||||
for (int i = 0; i < boxes.Count; i++)
|
||||
{
|
||||
BoundingBox outer = boxes[i];
|
||||
|
||||
for (int j = i + 1; j < boxes.Count; j++)
|
||||
{
|
||||
BoundingBox inner = boxes[j];
|
||||
|
||||
if (ovl.OverlapAreaX(outer, inner) < .75)
|
||||
{
|
||||
if (ovl.OverlapAreaX(outer, inner) < .25)
|
||||
{
|
||||
//move down
|
||||
inner.Left = inner.Left + TO_MOVE;
|
||||
}
|
||||
|
||||
if (ovl.OverlapArea(outer, inner) > 0)
|
||||
{
|
||||
//move down
|
||||
inner.Left = outer.Left + outer.Width + TO_MOVE;
|
||||
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
public void CalculateAlignments(GroupBox g)
|
||||
{
|
||||
if (g.Direction == GroupBox.GroupDirectionEnum.Horizontal && g.Boxes.Count == 1)
|
||||
{
|
||||
//calculate alignment
|
||||
BoundingBox b = g.Boxes[0];
|
||||
|
||||
double center_b = (b.Width / 2) + b.Left;
|
||||
double center_g_steps = b.MaxWidth / 3;
|
||||
|
||||
if (center_b < center_g_steps)
|
||||
{
|
||||
g.Alignment = GroupBox.GroupAlignmentEnum.Left;
|
||||
}
|
||||
else
|
||||
{
|
||||
if (center_b > center_g_steps & center_b < center_g_steps * 2)
|
||||
{
|
||||
g.Alignment = GroupBox.GroupAlignmentEnum.Center;
|
||||
}
|
||||
else
|
||||
{
|
||||
g.Alignment = GroupBox.GroupAlignmentEnum.Right;
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
|
@ -0,0 +1,56 @@
|
|||
using Sketch2Code.Core.Entities;
|
||||
using System.Collections.Generic;
|
||||
using System.Linq;
|
||||
using System.Runtime.Serialization;
|
||||
|
||||
namespace Sketch2Code.Core.BoxGeometry
|
||||
{
|
||||
[DataContract]
|
||||
public class GroupBox
|
||||
{
|
||||
private List<BoundingBox> boxes;
|
||||
public enum GroupDirectionEnum { Horizontal, Vertical }
|
||||
|
||||
public enum GroupAlignmentEnum { Left, Center, Right}
|
||||
|
||||
private GroupDirectionEnum direction;
|
||||
[DataMember]
|
||||
public bool IsEmpty;
|
||||
[DataMember]
|
||||
public double X;
|
||||
[DataMember]
|
||||
public double Y;
|
||||
[DataMember]
|
||||
public double Height;
|
||||
[DataMember]
|
||||
public double Width;
|
||||
|
||||
[DataMember]
|
||||
public GroupAlignmentEnum Alignment;
|
||||
|
||||
public int Count
|
||||
{
|
||||
get { return Boxes.Count; }
|
||||
|
||||
}
|
||||
[DataMember]
|
||||
public List<BoundingBox> Boxes
|
||||
{
|
||||
get { return boxes; }
|
||||
set { boxes = value; }
|
||||
}
|
||||
[DataMember]
|
||||
public GroupDirectionEnum Direction
|
||||
{
|
||||
get { return direction; }
|
||||
set { direction = value; }
|
||||
}
|
||||
public GroupBox()
|
||||
{
|
||||
Boxes = new List<BoundingBox>();
|
||||
this.Groups = new List<GroupBox>();
|
||||
}
|
||||
[DataMember]
|
||||
public List<GroupBox> Groups { get; set; }
|
||||
}
|
||||
}
|
||||
|
|
@ -0,0 +1,77 @@
|
|||
using Sketch2Code.Core.Entities;
|
||||
using System;
|
||||
using System.Collections.Generic;
|
||||
using System.Linq;
|
||||
using System.Text;
|
||||
using System.Threading.Tasks;
|
||||
|
||||
namespace Sketch2Code.Core.BoxGeometry
|
||||
{
|
||||
public class Overlap
|
||||
{
|
||||
const double MARGIN = 0;
|
||||
|
||||
public double OverlapArea(BoundingBox b1, BoundingBox b2)
|
||||
{
|
||||
double x_overlap = CalculateOverlapX(b1.Left, b1.Width, b2.Left, b2.Width);
|
||||
double y_overlap = CalculateOverlapY(b1.Top, b1.Height, b2.Top, b2.Height);
|
||||
|
||||
double b1_area = b1.Height * b1.Width;
|
||||
double b2_area = b2.Height * b2.Width;
|
||||
|
||||
//Calculate percentage over smaller box
|
||||
if (b1_area < b2_area)
|
||||
{
|
||||
return (x_overlap * y_overlap / b1_area);
|
||||
}
|
||||
else
|
||||
{
|
||||
return (x_overlap * y_overlap / b2_area);
|
||||
}
|
||||
}
|
||||
|
||||
public double OverlapAreaX(BoundingBox b1, BoundingBox b2)
|
||||
{
|
||||
double x_overlap = CalculateOverlapX(b1.Left, b1.Width, b2.Left, b2.Width);
|
||||
double b1_area = b1.Width;
|
||||
double b2_area = b2.Width;
|
||||
|
||||
if (b1_area < b2_area)
|
||||
{
|
||||
return (x_overlap / b1_area);
|
||||
}
|
||||
else
|
||||
{
|
||||
return (x_overlap / b2_area);
|
||||
}
|
||||
}
|
||||
|
||||
public double OverlapAreaY(BoundingBox b1, BoundingBox b2)
|
||||
{
|
||||
double y_overlap = CalculateOverlapY(b1.Top, b1.Height, b2.Top, b2.Height);
|
||||
double b1_area = b1.Height;
|
||||
double b2_area = b2.Height;
|
||||
|
||||
if (b1_area < b2_area)
|
||||
{
|
||||
return (y_overlap / b1_area);
|
||||
}
|
||||
else
|
||||
{
|
||||
return (y_overlap / b2_area);
|
||||
}
|
||||
}
|
||||
|
||||
private static double CalculateOverlapX(double b1_left, double b1_width, double b2_left, double b2_width)
|
||||
{
|
||||
return Math.Max(0, Math.Min(b1_left + b1_width + MARGIN, b2_left + b2_width) - Math.Max(b1_left, b2_left));
|
||||
}
|
||||
|
||||
private static double CalculateOverlapY(double b1_top, double b1_height, double b2_top, double b2_height)
|
||||
{
|
||||
return Math.Max(0, Math.Min(b1_top + b1_height + MARGIN, b2_top + b2_height) - Math.Max(b1_top, b2_top));
|
||||
}
|
||||
|
||||
|
||||
}
|
||||
}
|
||||
|
|
@ -0,0 +1,14 @@
|
|||
using System.Collections.Generic;
|
||||
|
||||
namespace Sketch2Code.Core.BoxGeometry
|
||||
{
|
||||
public enum ProjectionAxisEnum
|
||||
{
|
||||
X,Y
|
||||
}
|
||||
|
||||
public class ProjectionRuler
|
||||
{
|
||||
public List<Section> Sections = new List<Section>();
|
||||
}
|
||||
}
|
||||
|
|
@ -0,0 +1,50 @@
|
|||
using Sketch2Code.Core.Entities;
|
||||
using System;
|
||||
using System.Collections.Generic;
|
||||
using System.Linq;
|
||||
using System.Text;
|
||||
using System.Threading.Tasks;
|
||||
|
||||
namespace Sketch2Code.Core.BoxGeometry
|
||||
{
|
||||
public class Section
|
||||
{
|
||||
public double Start
|
||||
{
|
||||
get
|
||||
{
|
||||
return Slices[0].Start;
|
||||
}
|
||||
}
|
||||
|
||||
public double End
|
||||
{
|
||||
get
|
||||
{
|
||||
return Slices[Slices.Count - 1].End;
|
||||
}
|
||||
}
|
||||
|
||||
public bool IsEmpty { get { return Slices[0].IsEmpty; } }
|
||||
|
||||
public List<SliceSection> Slices = new List<SliceSection>();
|
||||
|
||||
public List<BoundingBox> Boxes
|
||||
{
|
||||
get
|
||||
{
|
||||
List<BoundingBox> boxes = new List<BoundingBox>();
|
||||
|
||||
foreach (SliceSection slice in Slices)
|
||||
{
|
||||
boxes.AddRange(slice.Boxes);
|
||||
}
|
||||
|
||||
boxes = boxes.Distinct().ToList();
|
||||
|
||||
return boxes;
|
||||
}
|
||||
}
|
||||
|
||||
}
|
||||
}
|
||||
|
|
@ -0,0 +1,17 @@
|
|||
using Sketch2Code.Core.Entities;
|
||||
using System;
|
||||
using System.Collections.Generic;
|
||||
using System.Linq;
|
||||
using System.Text;
|
||||
using System.Threading.Tasks;
|
||||
|
||||
namespace Sketch2Code.Core.BoxGeometry
|
||||
{
|
||||
public class SliceSection
|
||||
{
|
||||
public double Start;
|
||||
public double End;
|
||||
public bool IsEmpty = true;
|
||||
public List<BoundingBox> Boxes = new List<BoundingBox>();
|
||||
}
|
||||
}
|
||||
|
|
@ -0,0 +1,161 @@
|
|||
using Sketch2Code.Core.Helpers;
|
||||
using System;
|
||||
using System.Collections.Generic;
|
||||
using System.Drawing;
|
||||
using System.Linq;
|
||||
using System.Runtime.Serialization;
|
||||
using System.Text;
|
||||
using System.Threading.Tasks;
|
||||
|
||||
namespace Sketch2Code.Core.Entities
|
||||
{
|
||||
[DataContract(IsReference = true)]
|
||||
public class PredictedObject
|
||||
{
|
||||
string _className;
|
||||
public PredictedObject()
|
||||
{
|
||||
this.BoundingBox = new BoundingBox();
|
||||
}
|
||||
[DataMember]
|
||||
public string ClassName
|
||||
{
|
||||
get
|
||||
{
|
||||
return _className;
|
||||
}
|
||||
set
|
||||
{
|
||||
_className = value;
|
||||
if (ImageHelper.Colors.ContainsKey(value))
|
||||
this.BoundingBox.BoxColor = ImageHelper.Colors[value];
|
||||
else
|
||||
this.BoundingBox.BoxColor = Brushes.Green;
|
||||
}
|
||||
}
|
||||
[DataMember]
|
||||
public double Probability { get; set; }
|
||||
[DataMember]
|
||||
public BoundingBox BoundingBox { get; set; }
|
||||
[DataMember]
|
||||
public IList<string> Text { get; set; }
|
||||
public byte[] SlicedImage { get; set; }
|
||||
[DataMember]
|
||||
public string Name { get; set; }
|
||||
[DataMember]
|
||||
public string FileName { get; set; }
|
||||
public override string ToString()
|
||||
{
|
||||
return $"Top: {this.BoundingBox.Top} - Left: {this.BoundingBox.Left} - Width: {this.BoundingBox.Width} - Height: {this.BoundingBox.Height} -> Probability: {this.Probability}";
|
||||
}
|
||||
}
|
||||
|
||||
[DataContract(IsReference = true)]
|
||||
public class BoundingBox
|
||||
{
|
||||
public Brush BoxColor { get; set; }
|
||||
[DataMember]
|
||||
public double Top { get; set; }
|
||||
[DataMember]
|
||||
public double Left { get; set; }
|
||||
[DataMember]
|
||||
public double Height { get; set; }
|
||||
[DataMember]
|
||||
public double Width { get; set; }
|
||||
|
||||
[DataMember]
|
||||
public double HeightPercentage
|
||||
{
|
||||
get
|
||||
{
|
||||
if (MaxHeight > 0)
|
||||
{
|
||||
return Height /MaxHeight;
|
||||
}
|
||||
else
|
||||
{
|
||||
return 0;
|
||||
}
|
||||
|
||||
}
|
||||
}
|
||||
|
||||
[DataMember]
|
||||
public double WidthPercentage
|
||||
{
|
||||
get
|
||||
{
|
||||
if (MaxWidth > 0)
|
||||
{
|
||||
return Width / MaxWidth;
|
||||
}
|
||||
else
|
||||
{
|
||||
return 0;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
public Tuple<double, double> TopLeft
|
||||
{
|
||||
get
|
||||
{
|
||||
return new Tuple<double, double>(this.Top, this.Left);
|
||||
}
|
||||
}
|
||||
public Tuple<double, double> BottomLeft
|
||||
{
|
||||
get
|
||||
{
|
||||
return new Tuple<double, double>(this.Top - Height, this.Left);
|
||||
}
|
||||
}
|
||||
public Tuple<double, double> TopRight
|
||||
{
|
||||
get
|
||||
{
|
||||
return new Tuple<double, double>(this.Top, this.Left + this.Width);
|
||||
}
|
||||
}
|
||||
public Tuple<double, double> BottomRight
|
||||
{
|
||||
get
|
||||
{
|
||||
return new Tuple<double, double>(this.Top - Height, this.Left + this.Width);
|
||||
}
|
||||
}
|
||||
[DataMember]
|
||||
public double TopNorm { get; set; }
|
||||
[DataMember]
|
||||
public double LeftNorm { get; set; }
|
||||
[DataMember]
|
||||
public double MaxWidth { get; set; }
|
||||
[DataMember]
|
||||
public double MaxHeight { get; set; }
|
||||
[DataMember]
|
||||
public double MiddleHeight
|
||||
{
|
||||
get
|
||||
{
|
||||
return Math.Abs(Top - Height) / 2;
|
||||
}
|
||||
}
|
||||
[DataMember]
|
||||
public double MiddleWidth { get { return Left + Width / 2; } }
|
||||
public Rectangle Rectangle
|
||||
{
|
||||
get
|
||||
{
|
||||
int x = (int)Math.Floor(this.Left);
|
||||
int y = (int)Math.Floor(this.Top);
|
||||
int width = (int)Math.Floor(this.Width);
|
||||
int height = (int)Math.Floor(this.Height);
|
||||
|
||||
|
||||
return new Rectangle(x, y, width, height);
|
||||
}
|
||||
}
|
||||
[DataMember]
|
||||
public PredictedObject PredictedObject { get; set; }
|
||||
}
|
||||
}
|
||||
|
|
@ -0,0 +1,30 @@
|
|||
|
||||
using Sketch2Code.Core.BoxGeometry;
|
||||
using System;
|
||||
using System.Collections.Generic;
|
||||
using System.Linq;
|
||||
using System.Text;
|
||||
using System.Threading.Tasks;
|
||||
|
||||
namespace Sketch2Code.Core.Entities
|
||||
{
|
||||
public class PredictionDetail
|
||||
{
|
||||
public IList<PredictedObject> PredictedObjects { get; set; }
|
||||
public byte[] OriginalImage { get; set; }
|
||||
public byte[] PredictionImage { get; set; }
|
||||
public IList<GroupBox> GroupBox { get; set; }
|
||||
public IList<string> AllClasses
|
||||
{
|
||||
get
|
||||
{
|
||||
var result = new List<string>();
|
||||
if(this.PredictedObjects!=null && this.PredictedObjects.Any())
|
||||
{
|
||||
result = this.PredictedObjects.Select(p => p.ClassName).Distinct().ToList();
|
||||
}
|
||||
return result;
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
|
@ -0,0 +1,23 @@
|
|||
using System;
|
||||
using System.Collections.Generic;
|
||||
using System.Linq;
|
||||
using System.Text;
|
||||
using System.Threading.Tasks;
|
||||
|
||||
namespace Sketch2Code.Core.Helpers
|
||||
{
|
||||
public static class Controls
|
||||
{
|
||||
public const string Button = "Button";
|
||||
public const string CheckBox = "CheckBox";
|
||||
public const string ComboBox = "ComboBox";
|
||||
public const string Heading = "Heading";
|
||||
public const string Image = "Image";
|
||||
public const string Label = "Label";
|
||||
public const string Link = "Link";
|
||||
public const string Paragraph = "Paragraph";
|
||||
public const string RadioButton = "RadioButton";
|
||||
public const string Table = "Table";
|
||||
public const string TextBox = "TextBox";
|
||||
}
|
||||
}
|
||||
|
|
@ -0,0 +1,253 @@
|
|||
using Sketch2Code.Core.Entities;
|
||||
using System;
|
||||
using System.Collections.Generic;
|
||||
using System.Drawing;
|
||||
using System.Drawing.Drawing2D;
|
||||
using System.Drawing.Imaging;
|
||||
using System.IO;
|
||||
using System.Linq;
|
||||
using System.Text;
|
||||
using System.Threading.Tasks;
|
||||
|
||||
namespace Sketch2Code.Core.Helpers
|
||||
{
|
||||
public static class ImageHelper
|
||||
{
|
||||
public static byte[] SliceImage(this byte[] image, double x, double y, double width, double height)
|
||||
{
|
||||
using (var ms = new MemoryStream(image))
|
||||
{
|
||||
return SliceImage(ms, x, y, width, height);
|
||||
}
|
||||
}
|
||||
public static byte[] SliceImage(this Stream image, double x, double y, double width, double height)
|
||||
{
|
||||
var _width = (int)Math.Floor(width);
|
||||
var _height = (int)Math.Floor(height);
|
||||
var _x = (int)Math.Floor(x);
|
||||
var _y = (int)Math.Floor(y);
|
||||
|
||||
var rectangle = new Rectangle(_x, _y, _width, _height);
|
||||
|
||||
using (Bitmap img = Image.FromStream(image) as Bitmap)
|
||||
{
|
||||
var slice = img.Clone(rectangle, img.PixelFormat);
|
||||
using (var ms = new MemoryStream())
|
||||
{
|
||||
slice.Save(ms, ImageFormat.Png);
|
||||
return ms.ToArray();
|
||||
}
|
||||
}
|
||||
}
|
||||
public static byte[] DrawRectangle(this Stream image, IList<PredictedObject> objects)
|
||||
{
|
||||
byte[] buffer = null;
|
||||
|
||||
int tabHeight = 60;
|
||||
int margin = 15;
|
||||
int fontSize = 25;
|
||||
|
||||
using (var img = Bitmap.FromStream(image))
|
||||
{
|
||||
using (var graphics = Graphics.FromImage(img))
|
||||
{
|
||||
foreach (var p in objects)
|
||||
{
|
||||
var _width = (int)Math.Floor(p.BoundingBox.Width);
|
||||
var _height = (int)Math.Floor(p.BoundingBox.Height);
|
||||
var _x = (int)Math.Floor(p.BoundingBox.Left);
|
||||
var _y = (int)Math.Floor(p.BoundingBox.Top);
|
||||
|
||||
var rectangle = new Rectangle(_x, _y, _width, _height);
|
||||
var tab = new Rectangle(_x, _y - tabHeight, _width, tabHeight);
|
||||
|
||||
graphics.DrawRectangle(Pens.Red, tab);
|
||||
graphics.FillRectangle(p.BoundingBox.BoxColor, tab);
|
||||
|
||||
using (var font = new Font("Arial", fontSize, FontStyle.Bold, GraphicsUnit.Pixel))
|
||||
{
|
||||
var textBox = new Rectangle(tab.Left + margin, tab.Top + margin, tab.Width, tab.Height);
|
||||
graphics.DrawString($"{p.ClassName}: {(p.Probability * 100).ToString("F")}%", font, Brushes.White, textBox);
|
||||
}
|
||||
|
||||
graphics.DrawRectangle(Pens.Red, rectangle);
|
||||
}
|
||||
}
|
||||
using (var ms = new MemoryStream())
|
||||
{
|
||||
img.Save(ms, img.RawFormat);
|
||||
buffer = ms.ToArray();
|
||||
}
|
||||
}
|
||||
|
||||
return buffer;
|
||||
}
|
||||
public static byte[] DrawRectangle(this byte[] image, IList<PredictedObject> objects)
|
||||
{
|
||||
using(var ms = new MemoryStream(image))
|
||||
{
|
||||
return DrawRectangle(ms, objects);
|
||||
}
|
||||
}
|
||||
|
||||
public static byte[] DrawRectangle(this byte[] image, double x, double y, double width, double height)
|
||||
{
|
||||
using (var ms = new MemoryStream(image))
|
||||
{
|
||||
using (var img = Bitmap.FromStream(ms))
|
||||
{
|
||||
using (var graphics = Graphics.FromImage(img))
|
||||
{
|
||||
var _width = (int)Math.Floor(width);
|
||||
var _height = (int)Math.Floor(height);
|
||||
var _x = (int)Math.Floor(x);
|
||||
var _y = (int)Math.Floor(y);
|
||||
|
||||
var rectangle = new Rectangle(_x, _y, _width, _height);
|
||||
graphics.DrawRectangle(Pens.Chocolate, rectangle);
|
||||
}
|
||||
|
||||
img.Save(ms, img.RawFormat);
|
||||
}
|
||||
return ms.ToArray();
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
public static Dictionary<string, Brush> Colors
|
||||
{
|
||||
get
|
||||
{
|
||||
var dict = new Dictionary<string, Brush>();
|
||||
dict.Add("Button", Brushes.Firebrick);
|
||||
dict.Add("CheckBox", Brushes.Goldenrod);
|
||||
dict.Add("ComboBox", Brushes.MediumVioletRed);
|
||||
dict.Add("Heading", Brushes.SteelBlue);
|
||||
dict.Add("Image", Brushes.Purple);
|
||||
dict.Add("Label", Brushes.LightSeaGreen);
|
||||
dict.Add("Link", Brushes.DeepPink);
|
||||
dict.Add("Paragraph", Brushes.DarkOrange);
|
||||
dict.Add("RadioButton", Brushes.Chocolate);
|
||||
dict.Add("Table", Brushes.LightSlateGray);
|
||||
return dict;
|
||||
}
|
||||
}
|
||||
|
||||
private static Image scaleByPercent(Image imgPhoto, int Percent)
|
||||
{
|
||||
float nPercent = ((float)Percent / 100);
|
||||
|
||||
int sourceWidth = imgPhoto.Width;
|
||||
int sourceHeight = imgPhoto.Height;
|
||||
int sourceX = 0;
|
||||
int sourceY = 0;
|
||||
|
||||
|
||||
int destX = 0;
|
||||
int destY = 0;
|
||||
int destWidth = (int)(sourceWidth * nPercent);
|
||||
int destHeight = (int)(sourceHeight * nPercent);
|
||||
|
||||
Bitmap bmPhoto = new Bitmap(destWidth, destHeight,
|
||||
PixelFormat.Format24bppRgb);
|
||||
bmPhoto.SetResolution(imgPhoto.HorizontalResolution,
|
||||
imgPhoto.VerticalResolution);
|
||||
|
||||
Graphics grPhoto = Graphics.FromImage(bmPhoto);
|
||||
grPhoto.InterpolationMode = InterpolationMode.High;
|
||||
|
||||
grPhoto.DrawImage(imgPhoto,
|
||||
new Rectangle(destX, destY, destWidth, destHeight),
|
||||
new Rectangle(sourceX, sourceY, sourceWidth, sourceHeight),
|
||||
GraphicsUnit.Pixel);
|
||||
|
||||
grPhoto.Dispose();
|
||||
return bmPhoto;
|
||||
}
|
||||
|
||||
public static byte[] OptimizeImage(byte[] original, int scale, int quality)
|
||||
{
|
||||
MemoryStream outStream = new MemoryStream();
|
||||
|
||||
Image img = Image.FromStream(new MemoryStream(original));
|
||||
|
||||
scale = calculateScale(img.Width, img.Height);
|
||||
|
||||
img = scaleByPercent(img, scale);
|
||||
|
||||
EncoderParameters eps = new EncoderParameters(1);
|
||||
eps.Param[0] = new EncoderParameter(System.Drawing.Imaging.Encoder.Quality, (long)quality);
|
||||
ImageCodecInfo ici = GetEncoderInfo("image/png");
|
||||
|
||||
ExifRotate(img);
|
||||
|
||||
img.Save(outStream, ici, eps);
|
||||
|
||||
return outStream.GetBuffer();
|
||||
}
|
||||
|
||||
|
||||
|
||||
private static int calculateScale(double width, double height)
|
||||
{
|
||||
double dimension;
|
||||
|
||||
if (width > height)
|
||||
{
|
||||
dimension = width;
|
||||
}
|
||||
else
|
||||
{
|
||||
dimension = height;
|
||||
}
|
||||
|
||||
if (dimension > 1024)
|
||||
{
|
||||
return Convert.ToInt32(1 / (dimension / 1024) * 100);
|
||||
}
|
||||
|
||||
return 100;
|
||||
}
|
||||
|
||||
private static ImageCodecInfo GetEncoderInfo(string mimeType)
|
||||
{
|
||||
int j;
|
||||
ImageCodecInfo[] encoders;
|
||||
encoders = ImageCodecInfo.GetImageEncoders();
|
||||
for (j = 0; j < encoders.Length; ++j)
|
||||
{
|
||||
if (encoders[j].MimeType == mimeType)
|
||||
return encoders[j];
|
||||
}
|
||||
return null;
|
||||
}
|
||||
|
||||
|
||||
|
||||
public static void ExifRotate(Image img)
|
||||
{
|
||||
|
||||
const int exifOrientationID = 0x0112; //274
|
||||
if (!img.PropertyIdList.Contains(exifOrientationID))
|
||||
return;
|
||||
|
||||
var prop = img.GetPropertyItem(exifOrientationID);
|
||||
int val = BitConverter.ToUInt16(prop.Value, 0);
|
||||
var rot = RotateFlipType.RotateNoneFlipNone;
|
||||
|
||||
if (val == 3 || val == 4)
|
||||
rot = RotateFlipType.Rotate180FlipNone;
|
||||
else if (val == 5 || val == 6)
|
||||
rot = RotateFlipType.Rotate90FlipNone;
|
||||
else if (val == 7 || val == 8)
|
||||
rot = RotateFlipType.Rotate270FlipNone;
|
||||
|
||||
if (val == 2 || val == 4 || val == 5 || val == 7)
|
||||
rot |= RotateFlipType.RotateNoneFlipX;
|
||||
|
||||
if (rot != RotateFlipType.RotateNoneFlipNone)
|
||||
img.RotateFlip(rot);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
|
|
@ -0,0 +1,36 @@
|
|||
using System.Reflection;
|
||||
using System.Runtime.CompilerServices;
|
||||
using System.Runtime.InteropServices;
|
||||
|
||||
// General Information about an assembly is controlled through the following
|
||||
// set of attributes. Change these attribute values to modify the information
|
||||
// associated with an assembly.
|
||||
[assembly: AssemblyTitle("Sketch2Code.Core")]
|
||||
[assembly: AssemblyDescription("")]
|
||||
[assembly: AssemblyConfiguration("")]
|
||||
[assembly: AssemblyCompany("")]
|
||||
[assembly: AssemblyProduct("Sketch2Code.Core")]
|
||||
[assembly: AssemblyCopyright("Copyright © 2018")]
|
||||
[assembly: AssemblyTrademark("")]
|
||||
[assembly: AssemblyCulture("")]
|
||||
|
||||
// Setting ComVisible to false makes the types in this assembly not visible
|
||||
// to COM components. If you need to access a type in this assembly from
|
||||
// COM, set the ComVisible attribute to true on that type.
|
||||
[assembly: ComVisible(false)]
|
||||
|
||||
// The following GUID is for the ID of the typelib if this project is exposed to COM
|
||||
[assembly: Guid("6b3b42ca-0998-4f34-b5ca-965f3462f411")]
|
||||
|
||||
// Version information for an assembly consists of the following four values:
|
||||
//
|
||||
// Major Version
|
||||
// Minor Version
|
||||
// Build Number
|
||||
// Revision
|
||||
//
|
||||
// You can specify all the values or you can default the Build and Revision Numbers
|
||||
// by using the '*' as shown below:
|
||||
// [assembly: AssemblyVersion("1.0.*")]
|
||||
[assembly: AssemblyVersion("1.0.0.0")]
|
||||
[assembly: AssemblyFileVersion("1.0.0.0")]
|
||||
|
|
@ -0,0 +1,19 @@
|
|||
using Sketch2Code.Core.BoxGeometry;
|
||||
using Sketch2Code.Core.Entities;
|
||||
using Microsoft.WindowsAzure.Storage.Blob;
|
||||
using System.Collections.Generic;
|
||||
using System.Threading.Tasks;
|
||||
|
||||
namespace Sketch2Code.Core.Services.Interfaces
|
||||
{
|
||||
public interface IObjectDetectionAppService
|
||||
{
|
||||
Task<IList<PredictedObject>> GetPredictionAsync(byte[] image);
|
||||
Task<PredictionDetail> GetPredictionAsync(string folderId);
|
||||
Task SaveResults(byte[] file, string container, string fileName);
|
||||
Task SaveResults(IList<PredictedObject> predictedObjects, string id);
|
||||
Task<IList<CloudBlobContainer>> GetPredictionsAsync();
|
||||
Task<byte[]> GetFile(string container, string file);
|
||||
Task<GroupBox> CreateGroupBoxAsync(IList<PredictedObject> predictedObjects);
|
||||
}
|
||||
}
|
||||
|
|
@ -0,0 +1,299 @@
|
|||
using Sketch2Code.AI;
|
||||
using Sketch2Code.Core.Entities;
|
||||
using Sketch2Code.Core.Services.Interfaces;
|
||||
using System;
|
||||
using System.Collections.Generic;
|
||||
using System.Linq;
|
||||
using System.Text;
|
||||
using System.Threading.Tasks;
|
||||
using Sketch2Code.Core.Helpers;
|
||||
using System.IO;
|
||||
using System.Drawing;
|
||||
using System.Configuration;
|
||||
using Microsoft.WindowsAzure.Storage.Blob;
|
||||
using Microsoft.WindowsAzure.Storage;
|
||||
using Newtonsoft.Json;
|
||||
using Sketch2Code.Core.BoxGeometry;
|
||||
using Microsoft.Extensions.Logging;
|
||||
using Microsoft.ApplicationInsights;
|
||||
using Microsoft.Azure.CognitiveServices.Vision.CustomVision.Prediction.Models;
|
||||
using System.Diagnostics;
|
||||
using Microsoft.ProjectOxford.Vision.Contract;
|
||||
|
||||
namespace Sketch2Code.Core
|
||||
{
|
||||
public class ObjectDetectionAppService : IObjectDetectionAppService
|
||||
{
|
||||
ObjectDetector _detectorClient;
|
||||
CloudBlobClient _cloudBlobClient;
|
||||
int predicted_index = 0;
|
||||
|
||||
public ObjectDetectionAppService(ObjectDetector detectorClient, ILogger logger)
|
||||
{
|
||||
_detectorClient = detectorClient;
|
||||
_detectorClient.Initialize();
|
||||
var account = CloudStorageAccount.Parse(ConfigurationManager.AppSettings["AzureWebJobsStorage"]);
|
||||
_cloudBlobClient = account.CreateCloudBlobClient();
|
||||
}
|
||||
public ObjectDetectionAppService() : this(new ObjectDetector(),
|
||||
new LoggerFactory().CreateLogger<ObjectDetectionAppService>())
|
||||
{
|
||||
}
|
||||
public ObjectDetectionAppService(ILogger logger) : this(new ObjectDetector(), logger)
|
||||
{
|
||||
}
|
||||
public async Task<IList<PredictedObject>> GetPredictionAsync(byte[] data)
|
||||
{
|
||||
throw new NotImplementedException();
|
||||
}
|
||||
|
||||
private static void removePredictionsUnderProbabilityThreshold(List<PredictionModel> predictions)
|
||||
{
|
||||
var Probability = Convert.ToInt32(ConfigurationManager.AppSettings["Probability"]);
|
||||
|
||||
predictions.RemoveAll(p => p.Probability < (Probability / 100D));
|
||||
}
|
||||
|
||||
private async Task assignPredictedText(PredictedObject predictedObject)
|
||||
{
|
||||
//Exclude images from non predictable classes
|
||||
var nonPredictableClasses = new string[] { Controls.Image, Controls.Paragraph, Controls.TextBox };
|
||||
|
||||
bool okHeight = predictedObject.BoundingBox.Height <= 3200 && predictedObject.BoundingBox.Height >= 40;
|
||||
bool okWidth = predictedObject.BoundingBox.Width <= 3200 && predictedObject.BoundingBox.Width >= 40;
|
||||
bool predictable = !nonPredictableClasses.Contains(predictedObject.ClassName);
|
||||
|
||||
if (okHeight && okWidth && predictable)
|
||||
{
|
||||
var result = await this._detectorClient.GetText(predictedObject.SlicedImage);
|
||||
predictedObject.Text = result;
|
||||
await Task.Delay(Convert.ToInt32(ConfigurationManager.AppSettings["ComputerVisionDelay"]));
|
||||
}
|
||||
}
|
||||
|
||||
private void assignPredictedText2(PredictedObject predictedObject, HandwritingTextLine[] textLines)
|
||||
{
|
||||
predictedObject.Text = new List<string>();
|
||||
|
||||
for (int i = 0; i < textLines.Length; i++)
|
||||
{
|
||||
//if areas are 100% overlapping assign every textline
|
||||
Overlap ovl = new Overlap();
|
||||
Entities.BoundingBox b = new Entities.BoundingBox();
|
||||
|
||||
|
||||
int min_x = textLines[i].Polygon.Points.Min(p => p.X);
|
||||
int min_y = textLines[i].Polygon.Points.Min(p => p.Y);
|
||||
|
||||
int max_x = textLines[i].Polygon.Points.Max(p => p.X);
|
||||
int max_y = textLines[i].Polygon.Points.Max(p => p.Y);
|
||||
|
||||
b.Left = min_x;
|
||||
b.Top = min_y;
|
||||
b.Width = max_x - min_x;
|
||||
b.Height = max_y - min_y;
|
||||
|
||||
//If boxes overlaps more than 50% we decide they are the same thing
|
||||
if (ovl.OverlapArea(predictedObject.BoundingBox, b) > 0.5)
|
||||
{
|
||||
for(int j = 0; j < textLines[i].Words.Length; j++)
|
||||
{
|
||||
predictedObject.Text.Add(textLines[i].Words[j].Text);
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
private void removeUnusableImages(List<PredictedObject> list)
|
||||
{
|
||||
//Remove images with size over 4mb
|
||||
list.RemoveAll(img => img.SlicedImage.Length >= 4 * 1024 * 1024);
|
||||
|
||||
//Exclude images outside of this range 40x40 - 3200x3200
|
||||
list.RemoveAll(p => p.BoundingBox.Height > 3200 || p.BoundingBox.Height < 40);
|
||||
list.RemoveAll(p => p.BoundingBox.Width > 3200 || p.BoundingBox.Width < 40);
|
||||
}
|
||||
|
||||
private PredictedObject buildPredictedObject(PredictionModel p, Image image, byte[] data)
|
||||
{
|
||||
PredictedObject predictedObject = new PredictedObject();
|
||||
|
||||
predictedObject.BoundingBox.Top = p.BoundingBox.Top * image.Height;
|
||||
predictedObject.BoundingBox.Height = p.BoundingBox.Height * image.Height;
|
||||
predictedObject.BoundingBox.Left = p.BoundingBox.Left * image.Width;
|
||||
predictedObject.BoundingBox.Width = p.BoundingBox.Width * image.Width;
|
||||
predictedObject.BoundingBox.TopNorm = p.BoundingBox.Top;
|
||||
predictedObject.BoundingBox.LeftNorm = p.BoundingBox.Left;
|
||||
predictedObject.BoundingBox.MaxHeight = image.Height;
|
||||
predictedObject.BoundingBox.MaxWidth = image.Width;
|
||||
predictedObject.ClassName = p.TagName;
|
||||
predictedObject.Probability = p.Probability;
|
||||
|
||||
predictedObject.SlicedImage = data.SliceImage(predictedObject.BoundingBox.Left,
|
||||
predictedObject.BoundingBox.Top, predictedObject.BoundingBox.Width, predictedObject.BoundingBox.Height);
|
||||
|
||||
predictedObject.Name = ($"slice_{predictedObject.ClassName}_{predicted_index}");
|
||||
predictedObject.FileName = ($"slices/{predictedObject.Name}.png");
|
||||
|
||||
predicted_index++;
|
||||
|
||||
return predictedObject;
|
||||
}
|
||||
|
||||
private Image buildAndVerifyImage(byte[] data)
|
||||
{
|
||||
double imageWidth = 0;
|
||||
double imageHeight = 0;
|
||||
Image img;
|
||||
|
||||
using (var ms = new MemoryStream(data))
|
||||
{
|
||||
img = Image.FromStream(ms);
|
||||
|
||||
imageWidth = img.Width;
|
||||
imageHeight = img.Height;
|
||||
|
||||
if ((imageWidth == 0) || (imageHeight == 0))
|
||||
{
|
||||
throw new InvalidOperationException("Invalid image dimensions");
|
||||
}
|
||||
}
|
||||
|
||||
return img;
|
||||
}
|
||||
|
||||
public async Task SaveResults(IList<PredictedObject> predictedObjects, string id)
|
||||
{
|
||||
if (_cloudBlobClient == null) throw new InvalidOperationException("blobClient is null");
|
||||
var slices_container = $"{id}/slices";
|
||||
|
||||
for (int i = 0; i < predictedObjects.Count; i++)
|
||||
{
|
||||
PredictedObject result = (PredictedObject)predictedObjects[i];
|
||||
await this.SaveResults(result.SlicedImage, slices_container, $"{result.Name}.png");
|
||||
}
|
||||
}
|
||||
public async Task SaveResults(byte[] file, string container, string fileName)
|
||||
{
|
||||
CloudBlobContainer theContainer = null;
|
||||
|
||||
if (_cloudBlobClient == null) throw new InvalidOperationException("blobClient is null");
|
||||
|
||||
var segments = container.Split(@"/".ToCharArray(), StringSplitOptions.RemoveEmptyEntries);
|
||||
|
||||
var rootContainerPath = segments.First();
|
||||
|
||||
var relativePath = String.Join(@"/", segments.Except(new string[] { rootContainerPath }));
|
||||
|
||||
theContainer = _cloudBlobClient.GetContainerReference($"{rootContainerPath}");
|
||||
|
||||
await theContainer.CreateIfNotExistsAsync();
|
||||
var permission = new BlobContainerPermissions();
|
||||
permission.PublicAccess = BlobContainerPublicAccessType.Blob;
|
||||
await theContainer.SetPermissionsAsync(permission);
|
||||
if (relativePath != rootContainerPath)
|
||||
{
|
||||
fileName = Path.Combine(relativePath, fileName);
|
||||
}
|
||||
var blob = theContainer.GetBlockBlobReference(fileName);
|
||||
await blob.UploadFromByteArrayAsync(file, 0, file.Length);
|
||||
}
|
||||
|
||||
public async Task SaveHtmlResults(string html, string container, string fileName)
|
||||
{
|
||||
CloudBlobContainer theContainer = null;
|
||||
|
||||
if (_cloudBlobClient == null) throw new InvalidOperationException("blobClient is null");
|
||||
|
||||
var segments = container.Split(@"/".ToCharArray(), StringSplitOptions.RemoveEmptyEntries);
|
||||
|
||||
var rootContainerPath = segments.First();
|
||||
|
||||
var relativePath = String.Join(@"/", segments.Except(new string[] { rootContainerPath }));
|
||||
|
||||
theContainer = _cloudBlobClient.GetContainerReference($"{rootContainerPath}");
|
||||
|
||||
await theContainer.CreateIfNotExistsAsync();
|
||||
var permission = new BlobContainerPermissions();
|
||||
permission.PublicAccess = BlobContainerPublicAccessType.Blob;
|
||||
await theContainer.SetPermissionsAsync(permission);
|
||||
if (relativePath != rootContainerPath)
|
||||
{
|
||||
fileName = Path.Combine(relativePath, fileName);
|
||||
}
|
||||
var blob = theContainer.GetBlockBlobReference(fileName);
|
||||
await blob.UploadTextAsync(html);
|
||||
}
|
||||
public async Task<PredictionDetail> GetPredictionAsync(string folderId)
|
||||
{
|
||||
if (String.IsNullOrWhiteSpace(folderId))
|
||||
throw new ArgumentNullException("folderId");
|
||||
|
||||
var blobContainer = _cloudBlobClient.GetContainerReference(folderId);
|
||||
bool exists = await blobContainer.ExistsAsync();
|
||||
if (!exists)
|
||||
throw new DirectoryNotFoundException($"Container {folderId} does not exist");
|
||||
|
||||
var groupsBlob = blobContainer.GetBlockBlobReference("groups.json");
|
||||
|
||||
var detail = new PredictionDetail();
|
||||
|
||||
detail.OriginalImage = await this.GetFile(folderId, "original.png");
|
||||
detail.PredictionImage = await this.GetFile(folderId, "predicted.png");
|
||||
detail.PredictedObjects = await this.GetFile<IList<PredictedObject>>(folderId, "results.json");
|
||||
var groupBox = await this.GetFile<GroupBox>(folderId, "groups.json");
|
||||
detail.GroupBox = new List<GroupBox> { groupBox };
|
||||
|
||||
return detail;
|
||||
}
|
||||
public async Task<IList<CloudBlobContainer>> GetPredictionsAsync()
|
||||
{
|
||||
return await Task.Run(() => _cloudBlobClient.ListContainers().Where(l => l.Name != "azure-webjobs-hosts")
|
||||
.OrderByDescending(c => c.Properties.LastModified).ToList());
|
||||
}
|
||||
public async Task<byte[]> GetFile(string container, string file)
|
||||
{
|
||||
var blobcontainer = _cloudBlobClient.GetContainerReference(container);
|
||||
if (!await blobcontainer.ExistsAsync())
|
||||
{
|
||||
throw new ApplicationException($"container {container} does not exist");
|
||||
}
|
||||
var blob = blobcontainer.GetBlobReference(file);
|
||||
if (!await blob.ExistsAsync())
|
||||
{
|
||||
throw new ApplicationException($"file {file} does not exist in container {container}");
|
||||
}
|
||||
using (var ms = new MemoryStream())
|
||||
{
|
||||
await blob.DownloadToStreamAsync(ms);
|
||||
return ms.ToArray();
|
||||
}
|
||||
}
|
||||
public async Task<T> GetFile<T>(string container, string file)
|
||||
{
|
||||
var data = await this.GetFile(container, file);
|
||||
if (data == null) return default(T);
|
||||
return JsonConvert.DeserializeObject<T>(Encoding.UTF8.GetString(data));
|
||||
}
|
||||
public async Task<GroupBox> CreateGroupBoxAsync(IList<PredictedObject> predictedObjects)
|
||||
{
|
||||
var result = await Task.Run(() =>
|
||||
{
|
||||
//Project each prediction into its bounding box
|
||||
foreach (var p in predictedObjects)
|
||||
p.BoundingBox.PredictedObject = p;
|
||||
|
||||
var list = predictedObjects.Select(p => p.BoundingBox).ToList();
|
||||
|
||||
//Execute BoxGeometry methods
|
||||
BoxGeometry.Geometry g = new BoxGeometry.Geometry();
|
||||
g.RemoveOverlapping(list);
|
||||
|
||||
BoxGeometry.GroupBox root = g.BuildGroups(list);
|
||||
return root;
|
||||
});
|
||||
|
||||
return result;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
|
@ -0,0 +1,176 @@
|
|||
<?xml version="1.0" encoding="utf-8"?>
|
||||
<Project ToolsVersion="15.0" xmlns="http://schemas.microsoft.com/developer/msbuild/2003">
|
||||
<Import Project="$(MSBuildExtensionsPath)\$(MSBuildToolsVersion)\Microsoft.Common.props" Condition="Exists('$(MSBuildExtensionsPath)\$(MSBuildToolsVersion)\Microsoft.Common.props')" />
|
||||
<PropertyGroup>
|
||||
<Configuration Condition=" '$(Configuration)' == '' ">Debug</Configuration>
|
||||
<Platform Condition=" '$(Platform)' == '' ">AnyCPU</Platform>
|
||||
<ProjectGuid>{EF52A79D-67DB-4B60-BC0F-300135FE8CDA}</ProjectGuid>
|
||||
<OutputType>Library</OutputType>
|
||||
<AppDesignerFolder>Properties</AppDesignerFolder>
|
||||
<RootNamespace>Sketch2Code.Core</RootNamespace>
|
||||
<AssemblyName>Sketch2Code.Core</AssemblyName>
|
||||
<TargetFrameworkVersion>v4.6.1</TargetFrameworkVersion>
|
||||
<FileAlignment>512</FileAlignment>
|
||||
</PropertyGroup>
|
||||
<PropertyGroup Condition=" '$(Configuration)|$(Platform)' == 'Debug|AnyCPU' ">
|
||||
<DebugSymbols>true</DebugSymbols>
|
||||
<DebugType>full</DebugType>
|
||||
<Optimize>false</Optimize>
|
||||
<OutputPath>bin\Debug\</OutputPath>
|
||||
<DefineConstants>DEBUG;TRACE</DefineConstants>
|
||||
<ErrorReport>prompt</ErrorReport>
|
||||
<WarningLevel>4</WarningLevel>
|
||||
</PropertyGroup>
|
||||
<PropertyGroup Condition=" '$(Configuration)|$(Platform)' == 'Release|AnyCPU' ">
|
||||
<DebugType>pdbonly</DebugType>
|
||||
<Optimize>true</Optimize>
|
||||
<OutputPath>bin\Release\</OutputPath>
|
||||
<DefineConstants>TRACE</DefineConstants>
|
||||
<ErrorReport>prompt</ErrorReport>
|
||||
<WarningLevel>4</WarningLevel>
|
||||
</PropertyGroup>
|
||||
<ItemGroup>
|
||||
<Reference Include="Microsoft.AI.Agent.Intercept, Version=2.4.0.0, Culture=neutral, PublicKeyToken=31bf3856ad364e35, processorArchitecture=MSIL">
|
||||
<HintPath>..\packages\Microsoft.ApplicationInsights.Agent.Intercept.2.4.0\lib\net45\Microsoft.AI.Agent.Intercept.dll</HintPath>
|
||||
</Reference>
|
||||
<Reference Include="Microsoft.AI.DependencyCollector, Version=2.4.1.0, Culture=neutral, PublicKeyToken=31bf3856ad364e35, processorArchitecture=MSIL">
|
||||
<HintPath>..\packages\Microsoft.ApplicationInsights.DependencyCollector.2.4.1\lib\net45\Microsoft.AI.DependencyCollector.dll</HintPath>
|
||||
</Reference>
|
||||
<Reference Include="Microsoft.AI.PerfCounterCollector, Version=2.4.1.0, Culture=neutral, PublicKeyToken=31bf3856ad364e35, processorArchitecture=MSIL">
|
||||
<HintPath>..\packages\Microsoft.ApplicationInsights.PerfCounterCollector.2.4.1\lib\net45\Microsoft.AI.PerfCounterCollector.dll</HintPath>
|
||||
</Reference>
|
||||
<Reference Include="Microsoft.AI.ServerTelemetryChannel, Version=2.4.0.0, Culture=neutral, PublicKeyToken=31bf3856ad364e35, processorArchitecture=MSIL">
|
||||
<HintPath>..\packages\Microsoft.ApplicationInsights.WindowsServer.TelemetryChannel.2.4.0\lib\net45\Microsoft.AI.ServerTelemetryChannel.dll</HintPath>
|
||||
</Reference>
|
||||
<Reference Include="Microsoft.AI.WindowsServer, Version=2.4.1.0, Culture=neutral, PublicKeyToken=31bf3856ad364e35, processorArchitecture=MSIL">
|
||||
<HintPath>..\packages\Microsoft.ApplicationInsights.WindowsServer.2.4.1\lib\net45\Microsoft.AI.WindowsServer.dll</HintPath>
|
||||
</Reference>
|
||||
<Reference Include="Microsoft.ApplicationInsights, Version=2.4.0.0, Culture=neutral, PublicKeyToken=31bf3856ad364e35, processorArchitecture=MSIL">
|
||||
<HintPath>..\packages\Microsoft.ApplicationInsights.2.4.0\lib\net46\Microsoft.ApplicationInsights.dll</HintPath>
|
||||
</Reference>
|
||||
<Reference Include="Microsoft.Azure.CognitiveServices.Vision.CustomVision.Prediction, Version=0.10.0.0, Culture=neutral, PublicKeyToken=31bf3856ad364e35, processorArchitecture=MSIL">
|
||||
<HintPath>..\packages\Microsoft.Azure.CognitiveServices.Vision.CustomVision.Prediction.0.10.0-preview\lib\net452\Microsoft.Azure.CognitiveServices.Vision.CustomVision.Prediction.dll</HintPath>
|
||||
</Reference>
|
||||
<Reference Include="Microsoft.Azure.KeyVault.Core, Version=1.0.0.0, Culture=neutral, PublicKeyToken=31bf3856ad364e35, processorArchitecture=MSIL">
|
||||
<HintPath>..\packages\Microsoft.Azure.KeyVault.Core.1.0.0\lib\net40\Microsoft.Azure.KeyVault.Core.dll</HintPath>
|
||||
</Reference>
|
||||
<Reference Include="Microsoft.Azure.WebJobs, Version=2.2.0.0, Culture=neutral, PublicKeyToken=31bf3856ad364e35, processorArchitecture=MSIL">
|
||||
<HintPath>..\packages\Microsoft.Azure.WebJobs.Core.2.2.0\lib\net45\Microsoft.Azure.WebJobs.dll</HintPath>
|
||||
</Reference>
|
||||
<Reference Include="Microsoft.Azure.WebJobs.Host, Version=2.2.0.0, Culture=neutral, PublicKeyToken=31bf3856ad364e35, processorArchitecture=MSIL">
|
||||
<HintPath>..\packages\Microsoft.Azure.WebJobs.2.2.0\lib\net45\Microsoft.Azure.WebJobs.Host.dll</HintPath>
|
||||
</Reference>
|
||||
<Reference Include="Microsoft.Azure.WebJobs.Logging.ApplicationInsights, Version=2.2.0.0, Culture=neutral, PublicKeyToken=31bf3856ad364e35, processorArchitecture=MSIL">
|
||||
<HintPath>..\packages\Microsoft.Azure.WebJobs.Logging.ApplicationInsights.2.2.0\lib\net45\Microsoft.Azure.WebJobs.Logging.ApplicationInsights.dll</HintPath>
|
||||
</Reference>
|
||||
<Reference Include="Microsoft.Data.Edm, Version=5.8.1.0, Culture=neutral, PublicKeyToken=31bf3856ad364e35, processorArchitecture=MSIL">
|
||||
<HintPath>..\packages\Microsoft.Data.Edm.5.8.2\lib\net40\Microsoft.Data.Edm.dll</HintPath>
|
||||
</Reference>
|
||||
<Reference Include="Microsoft.Data.OData, Version=5.8.1.0, Culture=neutral, PublicKeyToken=31bf3856ad364e35, processorArchitecture=MSIL">
|
||||
<HintPath>..\packages\Microsoft.Data.OData.5.8.2\lib\net40\Microsoft.Data.OData.dll</HintPath>
|
||||
</Reference>
|
||||
<Reference Include="Microsoft.Data.Services.Client, Version=5.8.1.0, Culture=neutral, PublicKeyToken=31bf3856ad364e35, processorArchitecture=MSIL">
|
||||
<HintPath>..\packages\Microsoft.Data.Services.Client.5.8.2\lib\net40\Microsoft.Data.Services.Client.dll</HintPath>
|
||||
</Reference>
|
||||
<Reference Include="Microsoft.Extensions.Configuration, Version=2.1.1.0, Culture=neutral, PublicKeyToken=adb9793829ddae60, processorArchitecture=MSIL">
|
||||
<HintPath>..\packages\Microsoft.Extensions.Configuration.2.1.1\lib\netstandard2.0\Microsoft.Extensions.Configuration.dll</HintPath>
|
||||
</Reference>
|
||||
<Reference Include="Microsoft.Extensions.Configuration.Abstractions, Version=2.1.1.0, Culture=neutral, PublicKeyToken=adb9793829ddae60, processorArchitecture=MSIL">
|
||||
<HintPath>..\packages\Microsoft.Extensions.Configuration.Abstractions.2.1.1\lib\netstandard2.0\Microsoft.Extensions.Configuration.Abstractions.dll</HintPath>
|
||||
</Reference>
|
||||
<Reference Include="Microsoft.Extensions.Configuration.Binder, Version=2.1.1.0, Culture=neutral, PublicKeyToken=adb9793829ddae60, processorArchitecture=MSIL">
|
||||
<HintPath>..\packages\Microsoft.Extensions.Configuration.Binder.2.1.1\lib\netstandard2.0\Microsoft.Extensions.Configuration.Binder.dll</HintPath>
|
||||
</Reference>
|
||||
<Reference Include="Microsoft.Extensions.DependencyInjection.Abstractions, Version=2.1.1.0, Culture=neutral, PublicKeyToken=adb9793829ddae60, processorArchitecture=MSIL">
|
||||
<HintPath>..\packages\Microsoft.Extensions.DependencyInjection.Abstractions.2.1.1\lib\netstandard2.0\Microsoft.Extensions.DependencyInjection.Abstractions.dll</HintPath>
|
||||
</Reference>
|
||||
<Reference Include="Microsoft.Extensions.Logging, Version=2.1.1.0, Culture=neutral, PublicKeyToken=adb9793829ddae60, processorArchitecture=MSIL">
|
||||
<HintPath>..\packages\Microsoft.Extensions.Logging.2.1.1\lib\netstandard2.0\Microsoft.Extensions.Logging.dll</HintPath>
|
||||
</Reference>
|
||||
<Reference Include="Microsoft.Extensions.Logging.Abstractions, Version=2.1.1.0, Culture=neutral, PublicKeyToken=adb9793829ddae60, processorArchitecture=MSIL">
|
||||
<HintPath>..\packages\Microsoft.Extensions.Logging.Abstractions.2.1.1\lib\netstandard2.0\Microsoft.Extensions.Logging.Abstractions.dll</HintPath>
|
||||
</Reference>
|
||||
<Reference Include="Microsoft.Extensions.Options, Version=2.1.1.0, Culture=neutral, PublicKeyToken=adb9793829ddae60, processorArchitecture=MSIL">
|
||||
<HintPath>..\packages\Microsoft.Extensions.Options.2.1.1\lib\netstandard2.0\Microsoft.Extensions.Options.dll</HintPath>
|
||||
</Reference>
|
||||
<Reference Include="Microsoft.Extensions.Primitives, Version=2.1.1.0, Culture=neutral, PublicKeyToken=adb9793829ddae60, processorArchitecture=MSIL">
|
||||
<HintPath>..\packages\Microsoft.Extensions.Primitives.2.1.1\lib\netstandard2.0\Microsoft.Extensions.Primitives.dll</HintPath>
|
||||
</Reference>
|
||||
<Reference Include="Microsoft.ProjectOxford.Vision, Version=1.0.393.0, Culture=neutral, PublicKeyToken=31bf3856ad364e35, processorArchitecture=MSIL">
|
||||
<HintPath>..\packages\Microsoft.ProjectOxford.Vision.1.0.393\lib\portable-net45+win+wpa81+wp80+MonoAndroid10+xamarinios10+MonoTouch10\Microsoft.ProjectOxford.Vision.dll</HintPath>
|
||||
</Reference>
|
||||
<Reference Include="Microsoft.Rest.ClientRuntime, Version=2.0.0.0, Culture=neutral, PublicKeyToken=31bf3856ad364e35, processorArchitecture=MSIL">
|
||||
<HintPath>..\packages\Microsoft.Rest.ClientRuntime.2.3.11\lib\net452\Microsoft.Rest.ClientRuntime.dll</HintPath>
|
||||
</Reference>
|
||||
<Reference Include="Microsoft.Rest.ClientRuntime.Azure, Version=3.0.0.0, Culture=neutral, PublicKeyToken=31bf3856ad364e35, processorArchitecture=MSIL">
|
||||
<HintPath>..\packages\Microsoft.Rest.ClientRuntime.Azure.3.3.12\lib\net452\Microsoft.Rest.ClientRuntime.Azure.dll</HintPath>
|
||||
</Reference>
|
||||
<Reference Include="Microsoft.WindowsAzure.Storage, Version=8.7.0.0, Culture=neutral, PublicKeyToken=31bf3856ad364e35, processorArchitecture=MSIL">
|
||||
<HintPath>..\packages\WindowsAzure.Storage.8.7.0\lib\net45\Microsoft.WindowsAzure.Storage.dll</HintPath>
|
||||
</Reference>
|
||||
<Reference Include="Newtonsoft.Json, Version=9.0.0.0, Culture=neutral, PublicKeyToken=30ad4fe6b2a6aeed, processorArchitecture=MSIL">
|
||||
<HintPath>..\packages\Newtonsoft.Json.9.0.1\lib\net45\Newtonsoft.Json.dll</HintPath>
|
||||
</Reference>
|
||||
<Reference Include="System" />
|
||||
<Reference Include="System.Buffers, Version=4.0.2.0, Culture=neutral, PublicKeyToken=cc7b13ffcd2ddd51, processorArchitecture=MSIL">
|
||||
<HintPath>..\packages\System.Buffers.4.4.0\lib\netstandard2.0\System.Buffers.dll</HintPath>
|
||||
</Reference>
|
||||
<Reference Include="System.Configuration" />
|
||||
<Reference Include="System.Core" />
|
||||
<Reference Include="System.Diagnostics.DiagnosticSource, Version=4.0.2.0, Culture=neutral, PublicKeyToken=cc7b13ffcd2ddd51, processorArchitecture=MSIL">
|
||||
<HintPath>..\packages\System.Diagnostics.DiagnosticSource.4.4.0\lib\net46\System.Diagnostics.DiagnosticSource.dll</HintPath>
|
||||
</Reference>
|
||||
<Reference Include="System.Drawing" />
|
||||
<Reference Include="System.Memory, Version=4.0.1.0, Culture=neutral, PublicKeyToken=cc7b13ffcd2ddd51, processorArchitecture=MSIL">
|
||||
<HintPath>..\packages\System.Memory.4.5.1\lib\netstandard2.0\System.Memory.dll</HintPath>
|
||||
</Reference>
|
||||
<Reference Include="System.Numerics" />
|
||||
<Reference Include="System.Numerics.Vectors, Version=4.1.3.0, Culture=neutral, PublicKeyToken=b03f5f7f11d50a3a, processorArchitecture=MSIL">
|
||||
<HintPath>..\packages\System.Numerics.Vectors.4.4.0\lib\net46\System.Numerics.Vectors.dll</HintPath>
|
||||
</Reference>
|
||||
<Reference Include="System.Runtime.CompilerServices.Unsafe, Version=4.0.4.0, Culture=neutral, PublicKeyToken=b03f5f7f11d50a3a, processorArchitecture=MSIL">
|
||||
<HintPath>..\packages\System.Runtime.CompilerServices.Unsafe.4.5.1\lib\netstandard2.0\System.Runtime.CompilerServices.Unsafe.dll</HintPath>
|
||||
</Reference>
|
||||
<Reference Include="System.Runtime.Serialization" />
|
||||
<Reference Include="System.Spatial, Version=5.8.1.0, Culture=neutral, PublicKeyToken=31bf3856ad364e35, processorArchitecture=MSIL">
|
||||
<HintPath>..\packages\System.Spatial.5.8.2\lib\net40\System.Spatial.dll</HintPath>
|
||||
</Reference>
|
||||
<Reference Include="System.Xml.Linq" />
|
||||
<Reference Include="System.Data.DataSetExtensions" />
|
||||
<Reference Include="Microsoft.CSharp" />
|
||||
<Reference Include="System.Data" />
|
||||
<Reference Include="System.Net.Http" />
|
||||
<Reference Include="System.Xml" />
|
||||
</ItemGroup>
|
||||
<ItemGroup>
|
||||
<Compile Include="Entities\BoxGeometry\Geometry.cs" />
|
||||
<Compile Include="Entities\BoxGeometry\GroupBox.cs" />
|
||||
<Compile Include="Entities\BoxGeometry\Overlap.cs" />
|
||||
<Compile Include="Entities\BoxGeometry\ProjectionRuler.cs" />
|
||||
<Compile Include="Entities\BoxGeometry\Section.cs" />
|
||||
<Compile Include="Entities\BoxGeometry\SliceSection.cs" />
|
||||
<Compile Include="Entities\PredictedObject.cs" />
|
||||
<Compile Include="Entities\PredictionDetail.cs" />
|
||||
<Compile Include="Helpers\Controls.cs" />
|
||||
<Compile Include="Helpers\ImageHelper.cs" />
|
||||
<Compile Include="Services\Interfaces\IObjectDetectionAppService.cs" />
|
||||
<Compile Include="Services\ObjectDetectionAppService.cs" />
|
||||
<Compile Include="Properties\AssemblyInfo.cs" />
|
||||
</ItemGroup>
|
||||
<ItemGroup>
|
||||
<None Include="app.config">
|
||||
<SubType>Designer</SubType>
|
||||
</None>
|
||||
<None Include="ApplicationInsights.config">
|
||||
<CopyToOutputDirectory>PreserveNewest</CopyToOutputDirectory>
|
||||
</None>
|
||||
<None Include="packages.config" />
|
||||
</ItemGroup>
|
||||
<ItemGroup>
|
||||
<ProjectReference Include="..\Sketch2Code.AI\Sketch2Code.AI.csproj">
|
||||
<Project>{47bce6ca-9347-4fb6-900b-770426958083}</Project>
|
||||
<Name>Sketch2Code.AI</Name>
|
||||
</ProjectReference>
|
||||
</ItemGroup>
|
||||
<Import Project="$(MSBuildToolsPath)\Microsoft.CSharp.targets" />
|
||||
</Project>
|
||||
|
|
@ -0,0 +1,23 @@
|
|||
<?xml version="1.0" encoding="utf-8"?>
|
||||
<configuration>
|
||||
<runtime>
|
||||
<assemblyBinding xmlns="urn:schemas-microsoft-com:asm.v1">
|
||||
<dependentAssembly>
|
||||
<assemblyIdentity name="System.Net.Http" publicKeyToken="b03f5f7f11d50a3a" culture="neutral" />
|
||||
<bindingRedirect oldVersion="0.0.0.0-4.1.1.2" newVersion="4.1.1.2" />
|
||||
</dependentAssembly>
|
||||
<dependentAssembly>
|
||||
<assemblyIdentity name="Newtonsoft.Json" publicKeyToken="30ad4fe6b2a6aeed" culture="neutral" />
|
||||
<bindingRedirect oldVersion="0.0.0.0-9.0.0.0" newVersion="9.0.0.0" />
|
||||
</dependentAssembly>
|
||||
<dependentAssembly>
|
||||
<assemblyIdentity name="Microsoft.WindowsAzure.Storage" publicKeyToken="31bf3856ad364e35" culture="neutral" />
|
||||
<bindingRedirect oldVersion="0.0.0.0-8.7.0.0" newVersion="8.7.0.0" />
|
||||
</dependentAssembly>
|
||||
<dependentAssembly>
|
||||
<assemblyIdentity name="Microsoft.Extensions.Logging.Abstractions" publicKeyToken="adb9793829ddae60" culture="neutral" />
|
||||
<bindingRedirect oldVersion="0.0.0.0-2.1.1.0" newVersion="2.1.1.0" />
|
||||
</dependentAssembly>
|
||||
</assemblyBinding>
|
||||
</runtime>
|
||||
</configuration>
|
||||
|
|
@ -0,0 +1,41 @@
|
|||
<?xml version="1.0" encoding="utf-8"?>
|
||||
<packages>
|
||||
<package id="Microsoft.ApplicationInsights" version="2.4.0" targetFramework="net461" />
|
||||
<package id="Microsoft.ApplicationInsights.Agent.Intercept" version="2.4.0" targetFramework="net461" />
|
||||
<package id="Microsoft.ApplicationInsights.DependencyCollector" version="2.4.1" targetFramework="net461" />
|
||||
<package id="Microsoft.ApplicationInsights.PerfCounterCollector" version="2.4.1" targetFramework="net461" />
|
||||
<package id="Microsoft.ApplicationInsights.WindowsServer" version="2.4.1" targetFramework="net461" />
|
||||
<package id="Microsoft.ApplicationInsights.WindowsServer.TelemetryChannel" version="2.4.0" targetFramework="net461" />
|
||||
<package id="Microsoft.Azure.CognitiveServices.Vision.CustomVision.Prediction" version="0.10.0-preview" targetFramework="net461" />
|
||||
<package id="Microsoft.Azure.CognitiveServices.Vision.CustomVision.Training" version="0.10.0-preview" targetFramework="net461" />
|
||||
<package id="Microsoft.Azure.KeyVault.Core" version="1.0.0" targetFramework="net461" />
|
||||
<package id="Microsoft.Azure.WebJobs" version="2.2.0" targetFramework="net461" />
|
||||
<package id="Microsoft.Azure.WebJobs.Core" version="2.2.0" targetFramework="net461" />
|
||||
<package id="Microsoft.Azure.WebJobs.Logging.ApplicationInsights" version="2.2.0" targetFramework="net461" />
|
||||
<package id="Microsoft.Data.Edm" version="5.8.4" targetFramework="net461" />
|
||||
<package id="Microsoft.Data.OData" version="5.8.4" targetFramework="net461" />
|
||||
<package id="Microsoft.Data.Services.Client" version="5.8.4" targetFramework="net461" />
|
||||
<package id="Microsoft.Extensions.Configuration" version="2.1.1" targetFramework="net461" />
|
||||
<package id="Microsoft.Extensions.Configuration.Abstractions" version="2.1.1" targetFramework="net461" />
|
||||
<package id="Microsoft.Extensions.Configuration.Binder" version="2.1.1" targetFramework="net461" />
|
||||
<package id="Microsoft.Extensions.DependencyInjection.Abstractions" version="2.1.1" targetFramework="net461" />
|
||||
<package id="Microsoft.Extensions.Logging" version="2.1.1" targetFramework="net461" />
|
||||
<package id="Microsoft.Extensions.Logging.Abstractions" version="2.1.1" targetFramework="net461" />
|
||||
<package id="Microsoft.Extensions.Options" version="2.1.1" targetFramework="net461" />
|
||||
<package id="Microsoft.Extensions.Primitives" version="2.1.1" targetFramework="net461" />
|
||||
<package id="Microsoft.ProjectOxford.Vision" version="1.0.393" targetFramework="net461" />
|
||||
<package id="Microsoft.Rest.ClientRuntime" version="2.3.11" targetFramework="net461" />
|
||||
<package id="Microsoft.Rest.ClientRuntime.Azure" version="3.3.12" targetFramework="net461" />
|
||||
<package id="Newtonsoft.Json" version="9.0.1" targetFramework="net461" />
|
||||
<package id="System.Buffers" version="4.4.0" targetFramework="net461" />
|
||||
<package id="System.ComponentModel.EventBasedAsync" version="4.0.11" targetFramework="net461" />
|
||||
<package id="System.Diagnostics.DiagnosticSource" version="4.4.0" targetFramework="net461" />
|
||||
<package id="System.Dynamic.Runtime" version="4.0.0" targetFramework="net461" />
|
||||
<package id="System.Linq.Queryable" version="4.0.0" targetFramework="net461" />
|
||||
<package id="System.Memory" version="4.5.1" targetFramework="net461" />
|
||||
<package id="System.Net.Requests" version="4.0.11" targetFramework="net461" />
|
||||
<package id="System.Numerics.Vectors" version="4.4.0" targetFramework="net461" />
|
||||
<package id="System.Runtime.CompilerServices.Unsafe" version="4.5.1" targetFramework="net461" />
|
||||
<package id="System.Spatial" version="5.8.2" targetFramework="net461" />
|
||||
<package id="WindowsAzure.Storage" version="8.7.0" targetFramework="net461" />
|
||||
</packages>
|
||||
Двоичные данные
sketch2code/Sketch2Code.Web/App_Data/wkhtmltoimage/api-ms-win-crt-conio-l1-1-0.dll
Normal file
Двоичные данные
sketch2code/Sketch2Code.Web/App_Data/wkhtmltoimage/api-ms-win-crt-conio-l1-1-0.dll
Normal file
Двоичный файл не отображается.
Двоичные данные
sketch2code/Sketch2Code.Web/App_Data/wkhtmltoimage/api-ms-win-crt-convert-l1-1-0.dll
Normal file
Двоичные данные
sketch2code/Sketch2Code.Web/App_Data/wkhtmltoimage/api-ms-win-crt-convert-l1-1-0.dll
Normal file
Двоичный файл не отображается.
Двоичные данные
sketch2code/Sketch2Code.Web/App_Data/wkhtmltoimage/api-ms-win-crt-environment-l1-1-0.dll
Normal file
Двоичные данные
sketch2code/Sketch2Code.Web/App_Data/wkhtmltoimage/api-ms-win-crt-environment-l1-1-0.dll
Normal file
Двоичный файл не отображается.
Двоичные данные
sketch2code/Sketch2Code.Web/App_Data/wkhtmltoimage/api-ms-win-crt-filesystem-l1-1-0.dll
Normal file
Двоичные данные
sketch2code/Sketch2Code.Web/App_Data/wkhtmltoimage/api-ms-win-crt-filesystem-l1-1-0.dll
Normal file
Двоичный файл не отображается.
Двоичные данные
sketch2code/Sketch2Code.Web/App_Data/wkhtmltoimage/api-ms-win-crt-heap-l1-1-0.dll
Normal file
Двоичные данные
sketch2code/Sketch2Code.Web/App_Data/wkhtmltoimage/api-ms-win-crt-heap-l1-1-0.dll
Normal file
Двоичный файл не отображается.
Двоичные данные
sketch2code/Sketch2Code.Web/App_Data/wkhtmltoimage/api-ms-win-crt-locale-l1-1-0.dll
Normal file
Двоичные данные
sketch2code/Sketch2Code.Web/App_Data/wkhtmltoimage/api-ms-win-crt-locale-l1-1-0.dll
Normal file
Двоичный файл не отображается.
Двоичные данные
sketch2code/Sketch2Code.Web/App_Data/wkhtmltoimage/api-ms-win-crt-math-l1-1-0.dll
Normal file
Двоичные данные
sketch2code/Sketch2Code.Web/App_Data/wkhtmltoimage/api-ms-win-crt-math-l1-1-0.dll
Normal file
Двоичный файл не отображается.
Двоичные данные
sketch2code/Sketch2Code.Web/App_Data/wkhtmltoimage/api-ms-win-crt-multibyte-l1-1-0.dll
Normal file
Двоичные данные
sketch2code/Sketch2Code.Web/App_Data/wkhtmltoimage/api-ms-win-crt-multibyte-l1-1-0.dll
Normal file
Двоичный файл не отображается.
Двоичные данные
sketch2code/Sketch2Code.Web/App_Data/wkhtmltoimage/api-ms-win-crt-private-l1-1-0.dll
Normal file
Двоичные данные
sketch2code/Sketch2Code.Web/App_Data/wkhtmltoimage/api-ms-win-crt-private-l1-1-0.dll
Normal file
Двоичный файл не отображается.
Двоичные данные
sketch2code/Sketch2Code.Web/App_Data/wkhtmltoimage/api-ms-win-crt-process-l1-1-0.dll
Normal file
Двоичные данные
sketch2code/Sketch2Code.Web/App_Data/wkhtmltoimage/api-ms-win-crt-process-l1-1-0.dll
Normal file
Двоичный файл не отображается.
Двоичные данные
sketch2code/Sketch2Code.Web/App_Data/wkhtmltoimage/api-ms-win-crt-runtime-l1-1-0.dll
Normal file
Двоичные данные
sketch2code/Sketch2Code.Web/App_Data/wkhtmltoimage/api-ms-win-crt-runtime-l1-1-0.dll
Normal file
Двоичный файл не отображается.
Двоичные данные
sketch2code/Sketch2Code.Web/App_Data/wkhtmltoimage/api-ms-win-crt-stdio-l1-1-0.dll
Normal file
Двоичные данные
sketch2code/Sketch2Code.Web/App_Data/wkhtmltoimage/api-ms-win-crt-stdio-l1-1-0.dll
Normal file
Двоичный файл не отображается.
Двоичные данные
sketch2code/Sketch2Code.Web/App_Data/wkhtmltoimage/api-ms-win-crt-string-l1-1-0.dll
Normal file
Двоичные данные
sketch2code/Sketch2Code.Web/App_Data/wkhtmltoimage/api-ms-win-crt-string-l1-1-0.dll
Normal file
Двоичный файл не отображается.
Двоичные данные
sketch2code/Sketch2Code.Web/App_Data/wkhtmltoimage/api-ms-win-crt-time-l1-1-0.dll
Normal file
Двоичные данные
sketch2code/Sketch2Code.Web/App_Data/wkhtmltoimage/api-ms-win-crt-time-l1-1-0.dll
Normal file
Двоичный файл не отображается.
Двоичные данные
sketch2code/Sketch2Code.Web/App_Data/wkhtmltoimage/api-ms-win-crt-utility-l1-1-0.dll
Normal file
Двоичные данные
sketch2code/Sketch2Code.Web/App_Data/wkhtmltoimage/api-ms-win-crt-utility-l1-1-0.dll
Normal file
Двоичный файл не отображается.
Двоичный файл не отображается.
Двоичный файл не отображается.
Двоичный файл не отображается.
Двоичный файл не отображается.
Двоичный файл не отображается.
|
|
@ -0,0 +1,14 @@
|
|||
using System.Web;
|
||||
using System.Web.Mvc;
|
||||
|
||||
namespace Sketch2Code.Web{
|
||||
public class FilterConfig
|
||||
{
|
||||
public static void RegisterGlobalFilters(GlobalFilterCollection filters)
|
||||
{
|
||||
filters.Add(new ErrorHandler.AiHandleErrorAttribute());
|
||||
if(!HttpContext.Current.IsDebuggingEnabled)
|
||||
filters.Add(new RequireHttpsAttribute(true));
|
||||
}
|
||||
}
|
||||
}
|
||||
|
|
@ -0,0 +1,66 @@
|
|||
using System;
|
||||
using System.Collections.Generic;
|
||||
using System.Linq;
|
||||
using System.Web;
|
||||
using System.Web.Mvc;
|
||||
using System.Web.Routing;
|
||||
|
||||
namespace Sketch2Code.Web
|
||||
{
|
||||
public class RouteConfig
|
||||
{
|
||||
public static void RegisterRoutes(RouteCollection routes)
|
||||
{
|
||||
routes.IgnoreRoute("{resource}.axd/{*pathInfo}");
|
||||
routes.MapMvcAttributeRoutes();
|
||||
|
||||
routes.MapRoute(
|
||||
name: "Detail",
|
||||
url: "details/{id}",
|
||||
defaults: new { controller = "app", action="details" ,id = UrlParameter.Optional }
|
||||
);
|
||||
|
||||
routes.MapRoute(
|
||||
name: "ready-to-start",
|
||||
url: "ready-to-start",
|
||||
defaults: new { controller = "app", action = "Step2", id = UrlParameter.Optional }
|
||||
);
|
||||
|
||||
routes.MapRoute(
|
||||
name: "upload",
|
||||
url: "upload",
|
||||
defaults: new { controller = "app", action = "Upload", id = UrlParameter.Optional }
|
||||
);
|
||||
|
||||
routes.MapRoute(
|
||||
name: "work-in-progress",
|
||||
url: "work-in-progress",
|
||||
defaults: new { controller = "app", action = "Step3", id = UrlParameter.Optional }
|
||||
);
|
||||
|
||||
routes.MapRoute(
|
||||
name: "finished",
|
||||
url: "finished/{id}",
|
||||
defaults: new { controller = "app", action = "Step4", id = UrlParameter.Optional }
|
||||
);
|
||||
|
||||
routes.MapRoute(
|
||||
name: "generated-html",
|
||||
url: "generated-html/{id}",
|
||||
defaults: new { controller = "app", action = "Step5", id = UrlParameter.Optional }
|
||||
);
|
||||
|
||||
routes.MapRoute(
|
||||
name: "camera",
|
||||
url: "take-snapshot",
|
||||
defaults: new { controller = "app", action = "TakeSnapshot", id = UrlParameter.Optional }
|
||||
);
|
||||
|
||||
routes.MapRoute(
|
||||
name: "Default",
|
||||
url: "{controller}/{action}/{id}",
|
||||
defaults: new { controller = "app", action = "Index", id = UrlParameter.Optional }
|
||||
);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
|
@ -0,0 +1,106 @@
|
|||
<?xml version="1.0" encoding="utf-8"?>
|
||||
<ApplicationInsights xmlns="http://schemas.microsoft.com/ApplicationInsights/2013/Settings">
|
||||
<TelemetryInitializers>
|
||||
<Add Type="Microsoft.ApplicationInsights.DependencyCollector.HttpDependenciesParsingTelemetryInitializer, Microsoft.AI.DependencyCollector" />
|
||||
<Add Type="Microsoft.ApplicationInsights.WindowsServer.AzureRoleEnvironmentTelemetryInitializer, Microsoft.AI.WindowsServer" />
|
||||
<Add Type="Microsoft.ApplicationInsights.WindowsServer.AzureWebAppRoleEnvironmentTelemetryInitializer, Microsoft.AI.WindowsServer" />
|
||||
<Add Type="Microsoft.ApplicationInsights.WindowsServer.BuildInfoConfigComponentVersionTelemetryInitializer, Microsoft.AI.WindowsServer" />
|
||||
<Add Type="Microsoft.ApplicationInsights.Web.WebTestTelemetryInitializer, Microsoft.AI.Web" />
|
||||
<Add Type="Microsoft.ApplicationInsights.Web.SyntheticUserAgentTelemetryInitializer, Microsoft.AI.Web">
|
||||
<!-- Extended list of bots:
|
||||
search|spider|crawl|Bot|Monitor|BrowserMob|BingPreview|PagePeeker|WebThumb|URL2PNG|ZooShot|GomezA|Google SketchUp|Read Later|KTXN|KHTE|Keynote|Pingdom|AlwaysOn|zao|borg|oegp|silk|Xenu|zeal|NING|htdig|lycos|slurp|teoma|voila|yahoo|Sogou|CiBra|Nutch|Java|JNLP|Daumoa|Genieo|ichiro|larbin|pompos|Scrapy|snappy|speedy|vortex|favicon|indexer|Riddler|scooter|scraper|scrubby|WhatWeb|WinHTTP|voyager|archiver|Icarus6j|mogimogi|Netvibes|altavista|charlotte|findlinks|Retreiver|TLSProber|WordPress|wsr-agent|http client|Python-urllib|AppEngine-Google|semanticdiscovery|facebookexternalhit|web/snippet|Google-HTTP-Java-Client-->
|
||||
<Filters>search|spider|crawl|Bot|Monitor|AlwaysOn</Filters>
|
||||
</Add>
|
||||
<Add Type="Microsoft.ApplicationInsights.Web.ClientIpHeaderTelemetryInitializer, Microsoft.AI.Web" />
|
||||
<Add Type="Microsoft.ApplicationInsights.Web.OperationNameTelemetryInitializer, Microsoft.AI.Web" />
|
||||
<Add Type="Microsoft.ApplicationInsights.Web.OperationCorrelationTelemetryInitializer, Microsoft.AI.Web" />
|
||||
<Add Type="Microsoft.ApplicationInsights.Web.UserTelemetryInitializer, Microsoft.AI.Web" />
|
||||
<Add Type="Microsoft.ApplicationInsights.Web.AuthenticatedUserIdTelemetryInitializer, Microsoft.AI.Web" />
|
||||
<Add Type="Microsoft.ApplicationInsights.Web.AccountIdTelemetryInitializer, Microsoft.AI.Web" />
|
||||
<Add Type="Microsoft.ApplicationInsights.Web.SessionTelemetryInitializer, Microsoft.AI.Web" />
|
||||
</TelemetryInitializers>
|
||||
<TelemetryModules>
|
||||
<Add Type="Microsoft.ApplicationInsights.DependencyCollector.DependencyTrackingTelemetryModule, Microsoft.AI.DependencyCollector">
|
||||
<ExcludeComponentCorrelationHttpHeadersOnDomains>
|
||||
<!--
|
||||
Requests to the following hostnames will not be modified by adding correlation headers.
|
||||
This is only applicable if Profiler is installed via either StatusMonitor or Azure Extension.
|
||||
Add entries here to exclude additional hostnames.
|
||||
NOTE: this configuration will be lost upon NuGet upgrade.
|
||||
-->
|
||||
<Add>core.windows.net</Add>
|
||||
<Add>core.chinacloudapi.cn</Add>
|
||||
<Add>core.cloudapi.de</Add>
|
||||
<Add>core.usgovcloudapi.net</Add>
|
||||
<Add>localhost</Add>
|
||||
<Add>127.0.0.1</Add>
|
||||
</ExcludeComponentCorrelationHttpHeadersOnDomains>
|
||||
</Add>
|
||||
<Add Type="Microsoft.ApplicationInsights.Extensibility.PerfCounterCollector.PerformanceCollectorModule, Microsoft.AI.PerfCounterCollector">
|
||||
<!--
|
||||
Use the following syntax here to collect additional performance counters:
|
||||
|
||||
<Counters>
|
||||
<Add PerformanceCounter="\Process(??APP_WIN32_PROC??)\Handle Count" ReportAs="Process handle count" />
|
||||
...
|
||||
</Counters>
|
||||
|
||||
PerformanceCounter must be either \CategoryName(InstanceName)\CounterName or \CategoryName\CounterName
|
||||
|
||||
NOTE: performance counters configuration will be lost upon NuGet upgrade.
|
||||
|
||||
The following placeholders are supported as InstanceName:
|
||||
??APP_WIN32_PROC?? - instance name of the application process for Win32 counters.
|
||||
??APP_W3SVC_PROC?? - instance name of the application IIS worker process for IIS/ASP.NET counters.
|
||||
??APP_CLR_PROC?? - instance name of the application CLR process for .NET counters.
|
||||
-->
|
||||
</Add>
|
||||
<Add Type="Microsoft.ApplicationInsights.Extensibility.PerfCounterCollector.QuickPulse.QuickPulseTelemetryModule, Microsoft.AI.PerfCounterCollector" />
|
||||
<Add Type="Microsoft.ApplicationInsights.WindowsServer.DeveloperModeWithDebuggerAttachedTelemetryModule, Microsoft.AI.WindowsServer" />
|
||||
<Add Type="Microsoft.ApplicationInsights.WindowsServer.UnhandledExceptionTelemetryModule, Microsoft.AI.WindowsServer" />
|
||||
<Add Type="Microsoft.ApplicationInsights.WindowsServer.UnobservedExceptionTelemetryModule, Microsoft.AI.WindowsServer">
|
||||
<!--</Add>
|
||||
<Add Type="Microsoft.ApplicationInsights.WindowsServer.FirstChanceExceptionStatisticsTelemetryModule, Microsoft.AI.WindowsServer">-->
|
||||
</Add>
|
||||
<Add Type="Microsoft.ApplicationInsights.Web.RequestTrackingTelemetryModule, Microsoft.AI.Web">
|
||||
<Handlers>
|
||||
<!--
|
||||
Add entries here to filter out additional handlers:
|
||||
|
||||
NOTE: handler configuration will be lost upon NuGet upgrade.
|
||||
-->
|
||||
<Add>System.Web.Handlers.TransferRequestHandler</Add>
|
||||
<Add>Microsoft.VisualStudio.Web.PageInspector.Runtime.Tracing.RequestDataHttpHandler</Add>
|
||||
<Add>System.Web.StaticFileHandler</Add>
|
||||
<Add>System.Web.Handlers.AssemblyResourceLoader</Add>
|
||||
<Add>System.Web.Optimization.BundleHandler</Add>
|
||||
<Add>System.Web.Script.Services.ScriptHandlerFactory</Add>
|
||||
<Add>System.Web.Handlers.TraceHandler</Add>
|
||||
<Add>System.Web.Services.Discovery.DiscoveryRequestHandler</Add>
|
||||
<Add>System.Web.HttpDebugHandler</Add>
|
||||
</Handlers>
|
||||
</Add>
|
||||
<Add Type="Microsoft.ApplicationInsights.Web.ExceptionTrackingTelemetryModule, Microsoft.AI.Web" />
|
||||
<Add Type="Microsoft.ApplicationInsights.Web.AspNetDiagnosticTelemetryModule, Microsoft.AI.Web" />
|
||||
</TelemetryModules>
|
||||
<TelemetryProcessors>
|
||||
<Add Type="Microsoft.ApplicationInsights.Extensibility.PerfCounterCollector.QuickPulse.QuickPulseTelemetryProcessor, Microsoft.AI.PerfCounterCollector" />
|
||||
<Add Type="Microsoft.ApplicationInsights.Extensibility.AutocollectedMetricsExtractor, Microsoft.ApplicationInsights" />
|
||||
<Add Type="Microsoft.ApplicationInsights.WindowsServer.TelemetryChannel.AdaptiveSamplingTelemetryProcessor, Microsoft.AI.ServerTelemetryChannel">
|
||||
<MaxTelemetryItemsPerSecond>5</MaxTelemetryItemsPerSecond>
|
||||
<ExcludedTypes>Event</ExcludedTypes>
|
||||
</Add>
|
||||
<Add Type="Microsoft.ApplicationInsights.WindowsServer.TelemetryChannel.AdaptiveSamplingTelemetryProcessor, Microsoft.AI.ServerTelemetryChannel">
|
||||
<MaxTelemetryItemsPerSecond>5</MaxTelemetryItemsPerSecond>
|
||||
<IncludedTypes>Event</IncludedTypes>
|
||||
</Add>
|
||||
</TelemetryProcessors>
|
||||
<TelemetryChannel Type="Microsoft.ApplicationInsights.WindowsServer.TelemetryChannel.ServerTelemetryChannel, Microsoft.AI.ServerTelemetryChannel" />
|
||||
<!--
|
||||
Learn more about Application Insights configuration with ApplicationInsights.config here:
|
||||
http://go.microsoft.com/fwlink/?LinkID=513840
|
||||
|
||||
Note: If not present, please add <InstrumentationKey>Your Key</InstrumentationKey> to the top of this file.
|
||||
-->
|
||||
<InstrumentationKey>0bf8d80a-82a1-4966-947c-9d7b15bf42d8</InstrumentationKey>
|
||||
</ApplicationInsights>
|
||||
|
|
@ -0,0 +1,7 @@
|
|||
{
|
||||
"ProviderId": "Microsoft.ApplicationInsights.ConnectedService.ConnectedServiceProvider",
|
||||
"Version": "8.12.10405.1",
|
||||
"GettingStartedDocument": {
|
||||
"Uri": "https://go.microsoft.com/fwlink/?LinkID=613413"
|
||||
}
|
||||
}
|
||||
Разница между файлами не показана из-за своего большого размера
Загрузить разницу
Разница между файлами не показана из-за своего большого размера
Загрузить разницу
Различия файлов скрыты, потому что одна или несколько строк слишком длинны
Различия файлов скрыты, потому что одна или несколько строк слишком длинны
Различия файлов скрыты, потому что одна или несколько строк слишком длинны
|
|
@ -0,0 +1,330 @@
|
|||
/*!
|
||||
* Bootstrap Reboot v4.1.1 (https://getbootstrap.com/)
|
||||
* Copyright 2011-2018 The Bootstrap Authors
|
||||
* Copyright 2011-2018 Twitter, Inc.
|
||||
* Licensed under MIT (https://github.com/twbs/bootstrap/blob/master/LICENSE)
|
||||
* Forked from Normalize.css, licensed MIT (https://github.com/necolas/normalize.css/blob/master/LICENSE.md)
|
||||
*/
|
||||
*,
|
||||
*::before,
|
||||
*::after {
|
||||
box-sizing: border-box;
|
||||
}
|
||||
|
||||
html {
|
||||
font-family: sans-serif;
|
||||
line-height: 1.15;
|
||||
-webkit-text-size-adjust: 100%;
|
||||
-ms-text-size-adjust: 100%;
|
||||
-ms-overflow-style: scrollbar;
|
||||
-webkit-tap-highlight-color: transparent;
|
||||
}
|
||||
|
||||
@-ms-viewport {
|
||||
width: device-width;
|
||||
}
|
||||
|
||||
article, aside, figcaption, figure, footer, header, hgroup, main, nav, section {
|
||||
display: block;
|
||||
}
|
||||
|
||||
body {
|
||||
margin: 0;
|
||||
font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", Roboto, "Helvetica Neue", Arial, sans-serif, "Apple Color Emoji", "Segoe UI Emoji", "Segoe UI Symbol";
|
||||
font-size: 1rem;
|
||||
font-weight: 400;
|
||||
line-height: 1.5;
|
||||
color: #212529;
|
||||
text-align: left;
|
||||
background-color: #fff;
|
||||
}
|
||||
|
||||
[tabindex="-1"]:focus {
|
||||
outline: 0 !important;
|
||||
}
|
||||
|
||||
hr {
|
||||
box-sizing: content-box;
|
||||
height: 0;
|
||||
overflow: visible;
|
||||
}
|
||||
|
||||
h1, h2, h3, h4, h5, h6 {
|
||||
margin-top: 0;
|
||||
margin-bottom: 0.5rem;
|
||||
}
|
||||
|
||||
p {
|
||||
margin-top: 0;
|
||||
margin-bottom: 1rem;
|
||||
}
|
||||
|
||||
abbr[title],
|
||||
abbr[data-original-title] {
|
||||
text-decoration: underline;
|
||||
-webkit-text-decoration: underline dotted;
|
||||
text-decoration: underline dotted;
|
||||
cursor: help;
|
||||
border-bottom: 0;
|
||||
}
|
||||
|
||||
address {
|
||||
margin-bottom: 1rem;
|
||||
font-style: normal;
|
||||
line-height: inherit;
|
||||
}
|
||||
|
||||
ol,
|
||||
ul,
|
||||
dl {
|
||||
margin-top: 0;
|
||||
margin-bottom: 1rem;
|
||||
}
|
||||
|
||||
ol ol,
|
||||
ul ul,
|
||||
ol ul,
|
||||
ul ol {
|
||||
margin-bottom: 0;
|
||||
}
|
||||
|
||||
dt {
|
||||
font-weight: 700;
|
||||
}
|
||||
|
||||
dd {
|
||||
margin-bottom: .5rem;
|
||||
margin-left: 0;
|
||||
}
|
||||
|
||||
blockquote {
|
||||
margin: 0 0 1rem;
|
||||
}
|
||||
|
||||
dfn {
|
||||
font-style: italic;
|
||||
}
|
||||
|
||||
b,
|
||||
strong {
|
||||
font-weight: bolder;
|
||||
}
|
||||
|
||||
small {
|
||||
font-size: 80%;
|
||||
}
|
||||
|
||||
sub,
|
||||
sup {
|
||||
position: relative;
|
||||
font-size: 75%;
|
||||
line-height: 0;
|
||||
vertical-align: baseline;
|
||||
}
|
||||
|
||||
sub {
|
||||
bottom: -.25em;
|
||||
}
|
||||
|
||||
sup {
|
||||
top: -.5em;
|
||||
}
|
||||
|
||||
a {
|
||||
color: #007bff;
|
||||
text-decoration: none;
|
||||
background-color: transparent;
|
||||
-webkit-text-decoration-skip: objects;
|
||||
}
|
||||
|
||||
a:hover {
|
||||
color: #0056b3;
|
||||
text-decoration: underline;
|
||||
}
|
||||
|
||||
a:not([href]):not([tabindex]) {
|
||||
color: inherit;
|
||||
text-decoration: none;
|
||||
}
|
||||
|
||||
a:not([href]):not([tabindex]):hover, a:not([href]):not([tabindex]):focus {
|
||||
color: inherit;
|
||||
text-decoration: none;
|
||||
}
|
||||
|
||||
a:not([href]):not([tabindex]):focus {
|
||||
outline: 0;
|
||||
}
|
||||
|
||||
pre,
|
||||
code,
|
||||
kbd,
|
||||
samp {
|
||||
font-family: SFMono-Regular, Menlo, Monaco, Consolas, "Liberation Mono", "Courier New", monospace;
|
||||
font-size: 1em;
|
||||
}
|
||||
|
||||
pre {
|
||||
margin-top: 0;
|
||||
margin-bottom: 1rem;
|
||||
overflow: auto;
|
||||
-ms-overflow-style: scrollbar;
|
||||
}
|
||||
|
||||
figure {
|
||||
margin: 0 0 1rem;
|
||||
}
|
||||
|
||||
img {
|
||||
vertical-align: middle;
|
||||
border-style: none;
|
||||
}
|
||||
|
||||
svg:not(:root) {
|
||||
overflow: hidden;
|
||||
}
|
||||
|
||||
table {
|
||||
border-collapse: collapse;
|
||||
}
|
||||
|
||||
caption {
|
||||
padding-top: 0.75rem;
|
||||
padding-bottom: 0.75rem;
|
||||
color: #6c757d;
|
||||
text-align: left;
|
||||
caption-side: bottom;
|
||||
}
|
||||
|
||||
th {
|
||||
text-align: inherit;
|
||||
}
|
||||
|
||||
label {
|
||||
display: inline-block;
|
||||
margin-bottom: 0.5rem;
|
||||
}
|
||||
|
||||
button {
|
||||
border-radius: 0;
|
||||
}
|
||||
|
||||
button:focus {
|
||||
outline: 1px dotted;
|
||||
outline: 5px auto -webkit-focus-ring-color;
|
||||
}
|
||||
|
||||
input,
|
||||
button,
|
||||
select,
|
||||
optgroup,
|
||||
textarea {
|
||||
margin: 0;
|
||||
font-family: inherit;
|
||||
font-size: inherit;
|
||||
line-height: inherit;
|
||||
}
|
||||
|
||||
button,
|
||||
input {
|
||||
overflow: visible;
|
||||
}
|
||||
|
||||
button,
|
||||
select {
|
||||
text-transform: none;
|
||||
}
|
||||
|
||||
button,
|
||||
html [type="button"],
|
||||
[type="reset"],
|
||||
[type="submit"] {
|
||||
-webkit-appearance: button;
|
||||
}
|
||||
|
||||
button::-moz-focus-inner,
|
||||
[type="button"]::-moz-focus-inner,
|
||||
[type="reset"]::-moz-focus-inner,
|
||||
[type="submit"]::-moz-focus-inner {
|
||||
padding: 0;
|
||||
border-style: none;
|
||||
}
|
||||
|
||||
input[type="radio"],
|
||||
input[type="checkbox"] {
|
||||
box-sizing: border-box;
|
||||
padding: 0;
|
||||
}
|
||||
|
||||
input[type="date"],
|
||||
input[type="time"],
|
||||
input[type="datetime-local"],
|
||||
input[type="month"] {
|
||||
-webkit-appearance: listbox;
|
||||
}
|
||||
|
||||
textarea {
|
||||
overflow: auto;
|
||||
resize: vertical;
|
||||
}
|
||||
|
||||
fieldset {
|
||||
min-width: 0;
|
||||
padding: 0;
|
||||
margin: 0;
|
||||
border: 0;
|
||||
}
|
||||
|
||||
legend {
|
||||
display: block;
|
||||
width: 100%;
|
||||
max-width: 100%;
|
||||
padding: 0;
|
||||
margin-bottom: .5rem;
|
||||
font-size: 1.5rem;
|
||||
line-height: inherit;
|
||||
color: inherit;
|
||||
white-space: normal;
|
||||
}
|
||||
|
||||
progress {
|
||||
vertical-align: baseline;
|
||||
}
|
||||
|
||||
[type="number"]::-webkit-inner-spin-button,
|
||||
[type="number"]::-webkit-outer-spin-button {
|
||||
height: auto;
|
||||
}
|
||||
|
||||
[type="search"] {
|
||||
outline-offset: -2px;
|
||||
-webkit-appearance: none;
|
||||
}
|
||||
|
||||
[type="search"]::-webkit-search-cancel-button,
|
||||
[type="search"]::-webkit-search-decoration {
|
||||
-webkit-appearance: none;
|
||||
}
|
||||
|
||||
::-webkit-file-upload-button {
|
||||
font: inherit;
|
||||
-webkit-appearance: button;
|
||||
}
|
||||
|
||||
output {
|
||||
display: inline-block;
|
||||
}
|
||||
|
||||
summary {
|
||||
display: list-item;
|
||||
cursor: pointer;
|
||||
}
|
||||
|
||||
template {
|
||||
display: none;
|
||||
}
|
||||
|
||||
[hidden] {
|
||||
display: none !important;
|
||||
}
|
||||
/*# sourceMappingURL=bootstrap-reboot.css.map */
|
||||
Различия файлов скрыты, потому что одна или несколько строк слишком длинны
|
|
@ -0,0 +1,8 @@
|
|||
/*!
|
||||
* Bootstrap Reboot v4.1.1 (https://getbootstrap.com/)
|
||||
* Copyright 2011-2018 The Bootstrap Authors
|
||||
* Copyright 2011-2018 Twitter, Inc.
|
||||
* Licensed under MIT (https://github.com/twbs/bootstrap/blob/master/LICENSE)
|
||||
* Forked from Normalize.css, licensed MIT (https://github.com/necolas/normalize.css/blob/master/LICENSE.md)
|
||||
*/*,::after,::before{box-sizing:border-box}html{font-family:sans-serif;line-height:1.15;-webkit-text-size-adjust:100%;-ms-text-size-adjust:100%;-ms-overflow-style:scrollbar;-webkit-tap-highlight-color:transparent}@-ms-viewport{width:device-width}article,aside,figcaption,figure,footer,header,hgroup,main,nav,section{display:block}body{margin:0;font-family:-apple-system,BlinkMacSystemFont,"Segoe UI",Roboto,"Helvetica Neue",Arial,sans-serif,"Apple Color Emoji","Segoe UI Emoji","Segoe UI Symbol";font-size:1rem;font-weight:400;line-height:1.5;color:#212529;text-align:left;background-color:#fff}[tabindex="-1"]:focus{outline:0!important}hr{box-sizing:content-box;height:0;overflow:visible}h1,h2,h3,h4,h5,h6{margin-top:0;margin-bottom:.5rem}p{margin-top:0;margin-bottom:1rem}abbr[data-original-title],abbr[title]{text-decoration:underline;-webkit-text-decoration:underline dotted;text-decoration:underline dotted;cursor:help;border-bottom:0}address{margin-bottom:1rem;font-style:normal;line-height:inherit}dl,ol,ul{margin-top:0;margin-bottom:1rem}ol ol,ol ul,ul ol,ul ul{margin-bottom:0}dt{font-weight:700}dd{margin-bottom:.5rem;margin-left:0}blockquote{margin:0 0 1rem}dfn{font-style:italic}b,strong{font-weight:bolder}small{font-size:80%}sub,sup{position:relative;font-size:75%;line-height:0;vertical-align:baseline}sub{bottom:-.25em}sup{top:-.5em}a{color:#007bff;text-decoration:none;background-color:transparent;-webkit-text-decoration-skip:objects}a:hover{color:#0056b3;text-decoration:underline}a:not([href]):not([tabindex]){color:inherit;text-decoration:none}a:not([href]):not([tabindex]):focus,a:not([href]):not([tabindex]):hover{color:inherit;text-decoration:none}a:not([href]):not([tabindex]):focus{outline:0}code,kbd,pre,samp{font-family:SFMono-Regular,Menlo,Monaco,Consolas,"Liberation Mono","Courier New",monospace;font-size:1em}pre{margin-top:0;margin-bottom:1rem;overflow:auto;-ms-overflow-style:scrollbar}figure{margin:0 0 1rem}img{vertical-align:middle;border-style:none}svg:not(:root){overflow:hidden}table{border-collapse:collapse}caption{padding-top:.75rem;padding-bottom:.75rem;color:#6c757d;text-align:left;caption-side:bottom}th{text-align:inherit}label{display:inline-block;margin-bottom:.5rem}button{border-radius:0}button:focus{outline:1px dotted;outline:5px auto -webkit-focus-ring-color}button,input,optgroup,select,textarea{margin:0;font-family:inherit;font-size:inherit;line-height:inherit}button,input{overflow:visible}button,select{text-transform:none}[type=reset],[type=submit],button,html [type=button]{-webkit-appearance:button}[type=button]::-moz-focus-inner,[type=reset]::-moz-focus-inner,[type=submit]::-moz-focus-inner,button::-moz-focus-inner{padding:0;border-style:none}input[type=checkbox],input[type=radio]{box-sizing:border-box;padding:0}input[type=date],input[type=datetime-local],input[type=month],input[type=time]{-webkit-appearance:listbox}textarea{overflow:auto;resize:vertical}fieldset{min-width:0;padding:0;margin:0;border:0}legend{display:block;width:100%;max-width:100%;padding:0;margin-bottom:.5rem;font-size:1.5rem;line-height:inherit;color:inherit;white-space:normal}progress{vertical-align:baseline}[type=number]::-webkit-inner-spin-button,[type=number]::-webkit-outer-spin-button{height:auto}[type=search]{outline-offset:-2px;-webkit-appearance:none}[type=search]::-webkit-search-cancel-button,[type=search]::-webkit-search-decoration{-webkit-appearance:none}::-webkit-file-upload-button{font:inherit;-webkit-appearance:button}output{display:inline-block}summary{display:list-item;cursor:pointer}template{display:none}[hidden]{display:none!important}
|
||||
/*# sourceMappingURL=bootstrap-reboot.min.css.map */
|
||||
Различия файлов скрыты, потому что одна или несколько строк слишком длинны
Разница между файлами не показана из-за своего большого размера
Загрузить разницу
Различия файлов скрыты, потому что одна или несколько строк слишком длинны
Различия файлов скрыты, потому что одна или несколько строк слишком длинны
Различия файлов скрыты, потому что одна или несколько строк слишком длинны
|
|
@ -0,0 +1,488 @@
|
|||
<?xml version="1.0" encoding="utf-8"?>
|
||||
<GroupBox xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:xsd="http://www.w3.org/2001/XMLSchema">
|
||||
<IsEmpty>false</IsEmpty>
|
||||
<X>34.2988701696</X>
|
||||
<Y>25.2746002944</Y>
|
||||
<Height>263.50935940799997</Height>
|
||||
<Width>1764.9099072000001</Width>
|
||||
<Groups>
|
||||
<GroupBox>
|
||||
<IsEmpty>false</IsEmpty>
|
||||
<X>34.2988701696</X>
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Code License: MIT (http://choosealicense.com/licenses/mit/)
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После Ширина: | Высота: | Размер: 66 KiB |
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После Ширина: | Высота: | Размер: 333 KiB |
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После Ширина: | Высота: | Размер: 299 B |
Различия файлов скрыты, потому что одна или несколько строк слишком длинны
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После Ширина: | Высота: | Размер: 6.1 KiB |
Различия файлов скрыты, потому что одна или несколько строк слишком длинны
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После Ширина: | Высота: | Размер: 6.1 KiB |
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После Ширина: | Высота: | Размер: 75 KiB |
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После Ширина: | Высота: | Размер: 4.0 KiB |
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После Ширина: | Высота: | Размер: 17 KiB |
Различия файлов скрыты, потому что одна или несколько строк слишком длинны
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После Ширина: | Высота: | Размер: 4.9 KiB |
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После Ширина: | Высота: | Размер: 6.0 KiB |
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После Ширина: | Высота: | Размер: 3.3 KiB |
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После Ширина: | Высота: | Размер: 3.2 KiB |
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<svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" viewBox="0 0 222 62"><defs><linearGradient id="e39a3964-a29c-4489-9f51-06ece040d7b4" y1="31" x2="222" y2="31" gradientUnits="userSpaceOnUse"><stop offset="0" stop-color="#1ad099"/><stop offset="1" stop-color="#76d449"/></linearGradient></defs><title>Asset 2</title><g id="fc0f9239-ca46-4468-b44f-4fd5fd4fb5c4" data-name="Layer 2"><g id="e7c83734-40d1-4f57-a7a0-5bef939cd1d4" data-name="Capa 1"><rect width="222" height="62" rx="30.43" ry="30.43" fill="url(#e39a3964-a29c-4489-9f51-06ece040d7b4)"/><path d="M85.33,32.29V36.4H83.06V25.69h3.12a5.33,5.33,0,0,1,3.23.8,2.83,2.83,0,0,1,1,2.41,2.88,2.88,0,0,1-.52,1.68,3.42,3.42,0,0,1-1.47,1.15q2.41,3.61,3.15,4.67H89.1l-2.56-4.11Zm0-1.84h.73a2.79,2.79,0,0,0,1.59-.36A1.3,1.3,0,0,0,88.17,29a1.19,1.19,0,0,0-.53-1.09A3.23,3.23,0,0,0,86,27.55h-.69Z" fill="#fff" stroke="#fff"/><path d="M99.13,36.4H93V25.69h6.17v1.86h-3.9V29.9h3.63v1.86H95.23v2.76h3.9Z" fill="#fff" stroke="#fff"/><path d="M107.68,33.43a2.76,2.76,0,0,1-1,2.28,4.51,4.51,0,0,1-2.9.84,6.83,6.83,0,0,1-3-.65V33.79a12.89,12.89,0,0,0,1.84.68,5.1,5.1,0,0,0,1.37.2,2,2,0,0,0,1.15-.28,1,1,0,0,0,.4-.85.91.91,0,0,0-.18-.56,2,2,0,0,0-.51-.48,13.68,13.68,0,0,0-1.39-.72,6.12,6.12,0,0,1-1.47-.89,3.29,3.29,0,0,1-.79-1,2.86,2.86,0,0,1-.29-1.32,2.77,2.77,0,0,1,1-2.23,4,4,0,0,1,2.66-.81,6,6,0,0,1,1.6.2,10.67,10.67,0,0,1,1.58.55l-.73,1.77a9.32,9.32,0,0,0-1.42-.49,4.2,4.2,0,0,0-1.1-.14,1.46,1.46,0,0,0-1,.3,1,1,0,0,0-.34.78.93.93,0,0,0,.14.53,1.64,1.64,0,0,0,.44.43,12.78,12.78,0,0,0,1.44.75,5.77,5.77,0,0,1,2.06,1.44A2.81,2.81,0,0,1,107.68,33.43Z" fill="#fff" stroke="#fff"/><path d="M113.76,36.4h-2.27V27.58h-2.91V25.69h8.08v1.89h-2.9Z" fill="#fff" stroke="#fff"/><path d="M124.87,36.4l-.78-2.55h-3.9l-.78,2.55H117l3.78-10.75h2.78l3.79,10.75ZM123.55,32c-.72-2.31-1.12-3.62-1.21-3.92s-.16-.54-.2-.72c-.16.63-.62,2.17-1.38,4.64Z" fill="#fff" stroke="#fff"/><path d="M130.93,32.29V36.4h-2.27V25.69h3.12a5.33,5.33,0,0,1,3.23.8,2.83,2.83,0,0,1,1.05,2.41,2.88,2.88,0,0,1-.52,1.68,3.42,3.42,0,0,1-1.47,1.15q2.42,3.61,3.14,4.67H134.7l-2.56-4.11Zm0-1.84h.73a2.79,2.79,0,0,0,1.59-.36,1.3,1.3,0,0,0,.52-1.13,1.19,1.19,0,0,0-.53-1.09,3.23,3.23,0,0,0-1.62-.32h-.69Z" fill="#fff" stroke="#fff"/><path d="M142.69,36.4h-2.27V27.58h-2.9V25.69h8.08v1.89h-2.91Z" fill="#fff" stroke="#fff"/></g></g></svg>
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После Ширина: | Высота: | Размер: 2.3 KiB |
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<svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" viewBox="0 0 222 62"><defs><linearGradient id="2b5b0a31-c7ff-4c2c-8925-033267647364" y1="31" x2="222" y2="31" gradientUnits="userSpaceOnUse"><stop offset="0" stop-color="#1ad099"/><stop offset="1" stop-color="#76d449"/></linearGradient></defs><title>Asset 9</title><g id="04dbc28c-0c5d-4bce-9128-66f24596f571" data-name="Layer 2"><g id="72a0f7b8-4198-4dba-8971-b7bafb97be32" data-name="Capa 1"><rect width="222" height="62" rx="30.43" ry="30.43" fill="url(#2b5b0a31-c7ff-4c2c-8925-033267647364)"/><path d="M47.1,36.4H44.83V27.58H41.92V25.69H50v1.89H47.1Z" fill="#fff" stroke="#fff"/><path d="M58.21,36.4l-.78-2.55h-3.9l-.78,2.55H50.31l3.77-10.75h2.78l3.8,10.75ZM56.89,32c-.72-2.31-1.12-3.62-1.21-3.92s-.16-.54-.2-.72c-.16.63-.62,2.17-1.38,4.64Z" fill="#fff" stroke="#fff"/><path d="M70.62,36.4H68l-2.81-4.51-1,.69V36.4H62V25.69h2.27v4.9l.9-1.26,2.9-3.64h2.52l-3.74,4.74Z" fill="#fff" stroke="#fff"/><path d="M78.13,36.4H72V25.69h6.17v1.86h-3.9V29.9h3.63v1.86H74.23v2.76h3.9Z" fill="#fff" stroke="#fff"/><path d="M90.58,33.43a2.78,2.78,0,0,1-1,2.28,4.54,4.54,0,0,1-2.91.84,6.82,6.82,0,0,1-3-.65V33.79a12.06,12.06,0,0,0,1.84.68,5,5,0,0,0,1.37.2A2,2,0,0,0,88,34.39a1,1,0,0,0,.39-.85,1,1,0,0,0-.17-.56,1.88,1.88,0,0,0-.52-.48,13.68,13.68,0,0,0-1.39-.72,6.55,6.55,0,0,1-1.47-.89,3.11,3.11,0,0,1-.78-1,2.74,2.74,0,0,1-.3-1.32,2.78,2.78,0,0,1,1-2.23,4,4,0,0,1,2.66-.81,5.87,5.87,0,0,1,1.59.2,10.39,10.39,0,0,1,1.59.55l-.73,1.77a9.7,9.7,0,0,0-1.42-.49,4.2,4.2,0,0,0-1.1-.14,1.46,1.46,0,0,0-1,.3,1,1,0,0,0-.35.78,1,1,0,0,0,.14.53,1.7,1.7,0,0,0,.45.43,12.78,12.78,0,0,0,1.44.75,5.71,5.71,0,0,1,2,1.44A2.82,2.82,0,0,1,90.58,33.43Z" fill="#fff" stroke="#fff"/><path d="M97.07,27.43a2.32,2.32,0,0,0-2,1,4.55,4.55,0,0,0-.7,2.69c0,2.38.9,3.58,2.69,3.58a8.42,8.42,0,0,0,2.73-.57V36a7.7,7.7,0,0,1-2.94.55,4.52,4.52,0,0,1-3.58-1.42A6,6,0,0,1,92,31.06a6.75,6.75,0,0,1,.61-2.93,4.41,4.41,0,0,1,1.75-1.92,5.14,5.14,0,0,1,2.67-.67,7.3,7.3,0,0,1,3.14.75l-.74,1.85a11.43,11.43,0,0,0-1.21-.5A3.6,3.6,0,0,0,97.07,27.43Z" fill="#fff" stroke="#fff"/><path d="M104.35,32.29V36.4h-2.27V25.69h3.12a5.33,5.33,0,0,1,3.23.8,2.83,2.83,0,0,1,1,2.41,2.88,2.88,0,0,1-.52,1.68,3.42,3.42,0,0,1-1.47,1.15q2.42,3.61,3.14,4.67h-2.51l-2.56-4.11Zm0-1.84h.73a2.79,2.79,0,0,0,1.59-.36,1.3,1.3,0,0,0,.52-1.13,1.19,1.19,0,0,0-.53-1.09,3.23,3.23,0,0,0-1.62-.32h-.69Z" fill="#fff" stroke="#fff"/><path d="M118.15,36.4H112V25.69h6.17v1.86h-3.9V29.9h3.63v1.86h-3.63v2.76h3.9Z" fill="#fff" stroke="#fff"/><path d="M126.55,36.4h-6.17V25.69h6.17v1.86h-3.9V29.9h3.63v1.86h-3.63v2.76h3.9Z" fill="#fff" stroke="#fff"/><path d="M138.28,36.4H135.4l-4.66-8.1h-.07c.1,1.43.14,2.45.14,3.06v5h-2V25.69h2.87l4.65,8h0c-.07-1.39-.11-2.37-.11-2.95V25.69h2Z" fill="#fff" stroke="#fff"/><path d="M147.3,33.43a2.78,2.78,0,0,1-1,2.28,4.54,4.54,0,0,1-2.91.84,6.82,6.82,0,0,1-3-.65V33.79a12.4,12.4,0,0,0,1.83.68,5.11,5.11,0,0,0,1.38.2,1.92,1.92,0,0,0,1.14-.28A1.07,1.07,0,0,0,144.9,33a1.88,1.88,0,0,0-.52-.48,13.68,13.68,0,0,0-1.39-.72,6.55,6.55,0,0,1-1.47-.89,3.11,3.11,0,0,1-.78-1,3.05,3.05,0,0,1,.67-3.55,4,4,0,0,1,2.66-.81,5.87,5.87,0,0,1,1.59.2,10.39,10.39,0,0,1,1.59.55l-.73,1.77a10.12,10.12,0,0,0-1.42-.49,4.26,4.26,0,0,0-1.1-.14,1.46,1.46,0,0,0-1,.3,1,1,0,0,0-.35.78,1,1,0,0,0,.14.53,1.56,1.56,0,0,0,.45.43,13.27,13.27,0,0,0,1.43.75,5.67,5.67,0,0,1,2.06,1.44A2.82,2.82,0,0,1,147.3,33.43Z" fill="#fff" stroke="#fff"/><path d="M158,36.4h-2.26V31.78h-4.24V36.4h-2.27V25.69h2.27v4.2h4.24v-4.2H158Z" fill="#fff" stroke="#fff"/><path d="M170.44,31a5.81,5.81,0,0,1-1.32,4.09,5.71,5.71,0,0,1-7.56,0,5.82,5.82,0,0,1-1.32-4.1,5.76,5.76,0,0,1,1.32-4.09,5.77,5.77,0,0,1,7.57,0A5.84,5.84,0,0,1,170.44,31Zm-7.82,0a4.47,4.47,0,0,0,.68,2.7,2.38,2.38,0,0,0,2,.91q2.72,0,2.72-3.61c0-2.41-.91-3.62-2.71-3.62a2.42,2.42,0,0,0-2,.91A4.46,4.46,0,0,0,162.62,31Z" fill="#fff" stroke="#fff"/><path d="M176.79,36.4h-2.27V27.58h-2.91V25.69h8.08v1.89h-2.9Z" fill="#fff" stroke="#fff"/></g></g></svg>
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После Ширина: | Высота: | Размер: 3.9 KiB |
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После Ширина: | Высота: | Размер: 2.8 KiB |
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После Ширина: | Высота: | Размер: 2.8 KiB |
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После Ширина: | Высота: | Размер: 2.8 KiB |
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После Ширина: | Высота: | Размер: 13 KiB |
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После Ширина: | Высота: | Размер: 15 KiB |
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