Project import generated by Copybara.

GitOrigin-RevId: 50714fe28298d7b707eff7304547d89d6ec34a54

mediapipe/docs/android_archive_library.md

@@ -92,7 +92,7 @@ project.
     MediaPipe depends on OpenCV, you will need to copy the precompiled OpenCV so
     files into app/src/main/jniLibs. You can download the official OpenCV
     Android SDK from
-    [here](https://github.com/opencv/opencv/releases/download/4.1.0/opencv-4.1.0-android-sdk.zip)
+    [here](https://github.com/opencv/opencv/releases/download/3.4.3/opencv-3.4.3-android-sdk.zip)
     and run:
 
     ```bash

mediapipe/docs/examples.md

@@ -157,3 +157,20 @@ how to use MediaPipe with a TFLite model for hair segmentation on desktop using
 GPU with live video from a webcam.
 
 *   [Desktop GPU](./hair_segmentation_desktop.md)
+
+## Google Coral (machine learning acceleration with Google EdgeTPU)
+
+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)
+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).

mediapipe/docs/hello_world_android.md

@@ -629,7 +629,7 @@ to load both dependencies:
 static {
   // Load all native libraries needed by the app.
   System.loadLibrary("mediapipe_jni");
-  System.loadLibrary("opencv_java4");
+  System.loadLibrary("opencv_java3");
 }
 ```
 

mediapipe/docs/multi_hand_tracking_desktop.md

@@ -156,7 +156,7 @@ node {
   output_stream: "multi_hand_rects"
   node_options: {
     [type.googleapis.com/mediapipe.AssociationCalculatorOptions] {
-      min_similarity_threshold: 0.1
+      min_similarity_threshold: 0.5
     }
   }
 }

mediapipe/docs/multi_hand_tracking_mobile_gpu.md

@@ -219,7 +219,7 @@ node {
   output_stream: "multi_hand_rects"
   node_options: {
     [type.googleapis.com/mediapipe.AssociationCalculatorOptions] {
-      min_similarity_threshold: 0.1
+      min_similarity_threshold: 0.5
     }
   }
 }