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updated readme
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README.md

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Finally, for those interested in the underlying bodypix. Here is a detailed blog post on this amazing open source library, there is even a live demo page!
2020
https://blog.tensorflow.org/2019/11/updated-bodypix-2.html
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If you just want a tl;dr... we grab image frames from the physical camera with OpenCV. For each image, the face/body is cropped with a pretrained neural net via TensorFlow.js Bodypix, and merged with a specified background image. The merged images are then continously generated and used to create a video feed via pyfakewebcam and v4l2loopback. The implementation is dockerized to 2 containers, with the `bodypix` container handling the body detection, while the `fakecam` container handles the rest of the image processing, and also interfacing with the physical and virtual camera devices.
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If you just want a tl;dr... we grab image frames from the physical camera with OpenCV. For each image, the face/body is cropped with a pretrained neural net via TensorFlow.js Bodypix, and merged with a specified background image. The merged images are then continuously generated and used to create a video feed via pyfakewebcam and v4l2loopback. The implementation is dockerized to 2 containers, with the `bodypix` container handling the body detection, while the `fakecam` container handles the rest of the image processing, and also interfacing with the physical and virtual camera devices.
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