Update the tensorflow library version.
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README.md
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README.md
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# customvision-tfjs
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NPM package for TensorFlow.js models exported from Custom Vision Service
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This package is for web browsers. If you are looking for a library to run on Node.js environment, please use [customvision-tfjs-node](https://github.com/microsoft/customvision-tfjs-node).
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## Install
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```sh
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npm install @microsoft/customvision-tfjs
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```
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Or, if you would like to use CDN,
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```html
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<script src="https://cdn.jsdelivr.net/npm/@tensorflow/tfjs@1.3.2/dist/tf.min.js"></script>
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<script src="https://unpkg.com/@microsoft/customvision-tfjs"></script>
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```
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## Usage
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```html
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<img id="image" src="test_image.jpg" />
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```
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### Classification
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```js
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import * as cvstfjs from '@microsoft/customvision-tfjs';
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let model = new cvstfjs.ClassificationModel();
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await model.loadModelAsync('model.json');
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const image = document.getElementById('image');
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const result = await model.executeAsync(image);
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```
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The result is a 1D-array of probabilities.
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### Object Detection
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```js
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import * as cvstfjs from '@microsoft/customvision-tfjs';
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let model = new cvstfjs.ObjectDetectionModel();
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await model.loadModelAsync('model.json');
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const image = document.getElementById('image');
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const result = await model.executeAsync(image);
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```
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The result has 3 arrays.
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```js
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[
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[[0.1, 0.3, 0.4, 0.3], [0.2, 0.4, 0.8, 0.9]], // bounding boxes (x1, y1, x2, y2)
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[0.2, 0.3], // probabilities
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[1, 4] // class ids
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]
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```
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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.opensource.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., status check, 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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# customvision-tfjs
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NPM package for TensorFlow.js models exported from Custom Vision Service
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This package is for web browsers. If you are looking for a library to run on Node.js environment, please use [customvision-tfjs-node](https://github.com/microsoft/customvision-tfjs-node).
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## Install
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```sh
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npm install @microsoft/customvision-tfjs
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```
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Or, if you would like to use CDN,
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```html
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<script src="https://cdn.jsdelivr.net/npm/@tensorflow/tfjs@2.1.0/dist/tf.min.js"></script>
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<script src="https://unpkg.com/@microsoft/customvision-tfjs"></script>
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```
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## Usage
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```html
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<img id="image" src="test_image.jpg" />
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```
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### Classification
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```js
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import * as cvstfjs from '@microsoft/customvision-tfjs';
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let model = new cvstfjs.ClassificationModel();
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await model.loadModelAsync('model.json');
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const image = document.getElementById('image');
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const result = await model.executeAsync(image);
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```
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The result is a 1D-array of probabilities.
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### Object Detection
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```js
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import * as cvstfjs from '@microsoft/customvision-tfjs';
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let model = new cvstfjs.ObjectDetectionModel();
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await model.loadModelAsync('model.json');
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const image = document.getElementById('image');
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const result = await model.executeAsync(image);
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```
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The result has 3 arrays.
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```js
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[
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[[0.1, 0.3, 0.4, 0.3], [0.2, 0.4, 0.8, 0.9]], // bounding boxes (x1, y1, x2, y2)
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[0.2, 0.3], // probabilities
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[1, 4] // class ids
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]
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```
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# References
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* [sample scripts](https://github.com/Azure-Samples/customvision-export-samples)
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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
|
||||
the rights to use your contribution. For details, visit https://cla.opensource.microsoft.com.
|
||||
|
||||
When you submit a pull request, a CLA bot will automatically determine whether you need to provide
|
||||
a CLA and decorate the PR appropriately (e.g., status check, comment). Simply follow the instructions
|
||||
provided by the bot. You will only need to do this once across all repos using our CLA.
|
||||
|
||||
This project has adopted the [Microsoft Open Source Code of Conduct](https://opensource.microsoft.com/codeofconduct/).
|
||||
For more information see the [Code of Conduct FAQ](https://opensource.microsoft.com/codeofconduct/faq/) or
|
||||
contact [opencode@microsoft.com](mailto:opencode@microsoft.com) with any additional questions or comments.
|
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@ -38,7 +38,7 @@
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},
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"dependencies": {
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"@babel/runtime": "^7.6.3",
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"@tensorflow/tfjs": "^1.3.0"
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"@tensorflow/tfjs": "^2.1.0"
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},
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"repository": {
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"type": "git",
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