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customvision.ai","maintainers":[{"email":"npmjs@microsoft.com","name":"microsoft1es"},{"email":"microsoft-oss-publishing@microsoft.com","name":"microsoft-oss-releases"},{"email":"shonohs@outlook.com","name":"shono"}],"readme":"# customvision-tfjs\nNPM package for TensorFlow.js models exported from Custom Vision Service\n\nThis 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).\n\n## Install\n```sh\nnpm install @microsoft/customvision-tfjs\n```\n\nOr, if you would like to use CDN,\n\n```html\n<script src=\"https://cdn.jsdelivr.net/npm/@tensorflow/tfjs@2.8.3/dist/tf.min.js\"></script>\n<script src=\"https://unpkg.com/@microsoft/customvision-tfjs@1.2.0\"></script>\n```\n\n## Usage\n\n```html\n<img id=\"image\" src=\"test_image.jpg\" />\n```\n\n### Classification\n```js\nimport * as cvstfjs from '@microsoft/customvision-tfjs';\n\nlet model = new cvstfjs.ClassificationModel();\nawait model.loadModelAsync('model.json');\nconst image = document.getElementById('image');\nconst result = await model.executeAsync(image);\n```\n\nThe result is a 1D-array of probabilities.\n\n### Object Detection\n```js\nimport * as cvstfjs from '@microsoft/customvision-tfjs';\n\nlet model = new cvstfjs.ObjectDetectionModel();\nawait model.loadModelAsync('model.json');\nconst image = document.getElementById('image');\nconst result = await model.executeAsync(image);\n```\n\nThe result has 3 arrays.\n```js\n\n[\n\t[[0.1, 0.3, 0.4, 0.3], [0.2, 0.4, 0.8, 0.9]], // bounding boxes (x1, y1, x2, y2)\n\t[0.2, 0.3], // probabilities\n\t[1, 4] // class ids\n]\n```\n\n# References\n* [sample scripts](https://github.com/Azure-Samples/customvision-export-samples)\n\n# Contributing\n\nThis project welcomes contributions and suggestions.  Most contributions require you to agree to a\nContributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us\nthe rights to use your contribution. For details, visit https://cla.opensource.microsoft.com.\n\nWhen you submit a pull request, a CLA bot will automatically determine whether you need to provide\na CLA and decorate the PR appropriately (e.g., status check, comment). Simply follow the instructions\nprovided by the bot. You will only need to do this once across all repos using our CLA.\n\nThis project has adopted the [Microsoft Open Source Code of Conduct](https://opensource.microsoft.com/codeofconduct/).\nFor more information see the [Code of Conduct FAQ](https://opensource.microsoft.com/codeofconduct/faq/) or\ncontact [opencode@microsoft.com](mailto:opencode@microsoft.com) with any additional questions or comments.\n","readmeFilename":"README.md"}