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MediaPipe Team 2019-09-18 14:55:44 -07:00 committed by jqtang
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README.md
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![Real-time Face Detection](mediapipe/docs/images/realtime_face_detection.gif) ![Real-time Face Detection](mediapipe/docs/images/realtime_face_detection.gif)
> "<em>MediaPipe has made it extremely easy to build our 3D person pose reconstruction demo app, facilitating accelerated neural network inference on device and synchronization of our result visualization with the video capture stream. Highly recommended!</em>" - George Papandreou, CTO, [Ariel AI](https://arielai.com)
## ML Solutions in MediaPipe ## ML Solutions in MediaPipe
* [Hand Tracking](mediapipe/docs/hand_tracking_mobile_gpu.md) * [Hand Tracking](mediapipe/docs/hand_tracking_mobile_gpu.md)

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mediapipe/models/README.md
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Here are descriptions of the models used in the [example applications](../docs/examples.md). Here are descriptions of the models used in the [example applications](../docs/examples.md).
### Object Detection ### Object Detection
For details on the models, see [here](object_detection_saved_model/README.md). * [TFLite model](https://github.com/google/mediapipe/tree/master/mediapipe/models/ssdlite_object_detection.tflite)
* See [here](object_detection_saved_model/README.md) for model details.
* [Object Detection on Desktop](../docs/object_detection_desktop.md) ### Face Detection
* [Object Detection on GPU on Android](../docs/object_detection_android_gpu.md)
* [Object Detection on CPU on Android](../docs/object_detection_android_cpu.md)
### BlazeFace face detection model
* [TFLite model](https://github.com/google/mediapipe/tree/master/mediapipe/models/face_detection_front.tflite) * [TFLite model](https://github.com/google/mediapipe/tree/master/mediapipe/models/face_detection_front.tflite)
* Paper: ["BlazeFace: Sub-millisecond Neural Face Detection on Mobile GPUs"](https://sites.google.com/corp/view/perception-cv4arvr/blazeface) * Paper: ["BlazeFace: Sub-millisecond Neural Face Detection on Mobile GPUs"](https://sites.google.com/corp/view/perception-cv4arvr/blazeface)
* Model card: [BlazeFace model card](https://sites.google.com/corp/view/perception-cv4arvr/blazeface#h.p_21ojPZDx3cqq) * [Model card](https://sites.google.com/corp/view/perception-cv4arvr/blazeface#h.p_21ojPZDx3cqq)
### Hair segmentation model ### Hand Detection and Tracking
* [Palm detection TfLite model](https://github.com/google/mediapipe/tree/master/mediapipe/models/palm_detection.tflite)
* [2D hand landmark TfLite model](https://github.com/google/mediapipe/tree/master/mediapipe/models/hand_landmark.tflite)
* [3D hand landmark TFLite model](https://github.com/google/mediapipe/tree/master/mediapipe/models/hand_landmark_3d.tflite)
* [Google AI Blog post](https://mediapipe.page.link/handgoogleaiblog)
* [Model card](https://mediapipe.page.link/handmc)
### Hair Segmentation
* [TFLite model](https://github.com/google/mediapipe/tree/master/mediapipe/models/hair_segmentation.tflite) * [TFLite model](https://github.com/google/mediapipe/tree/master/mediapipe/models/hair_segmentation.tflite)
* Paper: ["Real-time Hair segmentation and recoloring on Mobile GPUs"](https://sites.google.com/corp/view/perception-cv4arvr/hair-segmentation) * Paper: ["Real-time Hair segmentation and recoloring on Mobile GPUs"](https://sites.google.com/corp/view/perception-cv4arvr/hair-segmentation)
* Model card: [Hair segmentation model card](https://sites.google.com/corp/view/perception-cv4arvr/hair-segmentation#h.p_NimuO7PgHxlY) * [Model card](https://sites.google.com/corp/view/perception-cv4arvr/hair-segmentation#h.p_NimuO7PgHxlY)