Best Practices, code samples, and documentation for Computer Vision.

artificial-intelligence azure computer-vision convolutional-neural-networks data-science deep-learning image-classification image-processing jupyter-notebook kubernetes machine-learning microsoft object-detection operationalization python similarity tutorial

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Alexandra Teste 6256577534 Removed extra commented out statements		2019-03-28 16:24:57 -07:00
.ci	Renaming the conda env correctly to cvbp	2019-03-21 14:09:30 -04:00
docs/media	created empty directory structure	2019-02-13 14:48:03 -05:00
image_classification	Removed extra commented out statements	2019-03-28 16:24:57 -07:00
tests	Changed azureml version + adjusted image conversion functions + improved paths for unittests + changed test wrt ACI	2019-03-28 15:49:37 -07:00
utils_cv	Added init file in utils_cv/	2019-03-26 18:33:38 -07:00
.flake8	benchmark + parameter_sweeper module (#55 )	2019-03-21 12:25:46 -04:00
.gitignore	benchmark + parameter_sweeper module (#55 )	2019-03-21 12:25:46 -04:00
.pre-commit-config.yaml	Adding pre-commit package to yml, more rules to flake8 lint config and adding pre-commit config file	2019-03-13 14:21:15 -04:00
CONTRIBUTING.md	Minor doc change	2019-03-21 02:46:46 -04:00
LICENSE	Initial commit	2019-02-11 08:23:56 -08:00
README.md	Update README.md	2019-03-15 16:00:52 -04:00
__init__.py	Added license + created tests/ folder outside IC + improved probability extraction in scoring script	2019-03-25 13:17:05 -07:00
pyproject.toml	set black config to use 79 chars per line	2019-02-28 20:50:52 +00:00

README.md

Computer Vision Best Practices

This repository will provide examples and best practices for building Computer Vision systems, provided as Jupyter notebooks, and using PyTorch as Deep Learning library. Image classification will be covered first, followed by object detection and image similarity.

Planning etc documents

All feature planning is done via projects, milestones, and issues in this Github repository.

Getting Started

Instructions to get started are provided in the image classification README.md file.

Contributing

This project welcomes contributions and suggestions. Before contributing, please see our contribution guidelines.