Project import generated by Copybara.

GitOrigin-RevId: ba1d851bc868c2f8037a6fa96ee90e4b8ab9bd40

mediapipe/docs/examples.md

@@ -164,13 +164,13 @@ Below are code samples on how to run MediaPipe on Google Coral Dev Board.
 
 ### Object Detection on Coral
 
-[Object Detection on Coral with Webcam](https://github.com/google/mediapipe/tree/master/mediapipe/examples/coral/README.md)
+[Object Detection on Coral with Webcam](./object_detection_coral_devboard.md)
 shows how to run quantized object detection TFlite model accelerated with
 EdgeTPU on
 [Google Coral Dev Board](https://coral.withgoogle.com/products/dev-board).
 
 ### Face Detection on Coral
 
-[Face Detection on Coral with Webcam](https://github.com/google/mediapipe/tree/master/mediapipe/examples/coral/README.md)
-shows how to use quantized face detection TFlite model accelerated with EdgeTPU
-on [Google Coral Dev Board](https://coral.withgoogle.com/products/dev-board).
+[Face Detection on Coral with Webcam](./face_detection_coral_devboard.md) shows
+how to use quantized face detection TFlite model accelerated with EdgeTPU on
+[Google Coral Dev Board](https://coral.withgoogle.com/products/dev-board).

mediapipe/docs/face_detection_coral_devboard.md

@@ -0,0 +1,20 @@
+## Face Detection on Coral with Webcam
+
+MediaPipe is able to run cross platform across device types like desktop, mobile
+and edge devices. Here is an example of running MediaPipe
+[face detection pipeline](./face_detection_desktop.md) on edge device like
+[Google Coral dev board](https://coral.withgoogle.com/products/dev-board) with
+[Edge TPU](https://cloud.google.com/edge-tpu/). This MediaPipe Coral face
+detection pipeline is running [coral specific quantized version](https://github.com/google/mediapipe/blob/master/mediapipe/examples/coral/models/face-detector-quantized_edgetpu.tflite)
+of the [MediaPipe face detection TFLite model](https://github.com/google/mediapipe/blob/master/mediapipe/models/face_detection_front.tflite)
+accelerated on Edge TPU.
+
+### Cross compilation of MediaPipe Coral binaries in Docker
+
+We recommend building the MediaPipe binaries not on the edge device due to
+limited compute resulting in long build times. Instead, we will build MediaPipe
+binaries using Docker containers on a more powerful host machine. For step by
+step details of cross compiling and running MediaPipe binaries on Coral dev
+board, please refer to [README.md in MediaPipe Coral example folder](https://github.com/google/mediapipe/blob/master/mediapipe/examples/coral/README.md).
+
+![Face Detection running on Coral](images/face_detection_demo_coral.jpg)

mediapipe/docs/object_detection_coral_devboard.md

@@ -0,0 +1,20 @@
+## Object Detection on Coral with Webcam
+
+MediaPipe is able to run cross platform across device types like desktop, mobile
+and edge devices. Here is an example of running MediaPipe
+[object detection pipeline](./object_detection_desktop.md) on edge device like
+[Google Coral dev board](https://coral.withgoogle.com/products/dev-board) with
+[Edge TPU](https://cloud.google.com/edge-tpu/). This MediaPipe Coral object
+detection pipeline is running [coral specific quantized version](https://github.com/google/mediapipe/blob/master/mediapipe/examples/coral/models/object-detector-quantized_edgetpu.tflite)
+of the [MediaPipe object detection TFLite model](https://github.com/google/mediapipe/blob/master/mediapipe/models/object_detection_front.tflite)
+accelerated on Edge TPU.
+
+### Cross compilation of MediaPipe Coral binaries in Docker
+
+We recommend building the MediaPipe binaries not on the edge device due to
+limited compute resulting in long build times. Instead, we will build MediaPipe
+binaries using Docker containers on a more powerful host machine. For step by
+step details of cross compiling and running MediaPipe binaries on Coral dev
+board, please refer to [README.md in MediaPipe Coral example folder](https://github.com/google/mediapipe/blob/master/mediapipe/examples/coral/README.md).
+
+![Object Detection running on Coral](images/object_detection_demo_coral.jpg)