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PiperOrigin-RevId: 263982686
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MediaPipe Team
2019-08-17 20:08:42 -07:00
committed by chuoling
parent 7d4ec1e24d
commit c27a7c1e10
71 changed files with 2066 additions and 153 deletions
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mediapipe/docs/examples.md
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@@ -22,7 +22,7 @@ Android example users go through in detail. It teaches the following:
### Hello World! on iOS
[Hello World! on iOS](./hello_world_ios.md) is the iOS version of Sobel edge
detection example
detection example.
### Object Detection with GPU
@@ -44,8 +44,9 @@ graphs can be easily adapted to run on CPU v.s. GPU.
[Face Detection with GPU](./face_detection_mobile_gpu.md) illustrates how to use
MediaPipe with a TFLite model for face detection in a GPU-accelerated pipeline.
The selfie face detection TFLite model is based on
["BlazeFace: Sub-millisecond Neural Face Detection on Mobile GPUs"](https://sites.google.com/view/perception-cv4arvr/blazeface).
[Model card](https://sites.google.com/corp/view/perception-cv4arvr/blazeface#h.p_21ojPZDx3cqq).
["BlazeFace: Sub-millisecond Neural Face Detection on Mobile GPUs"](https://sites.google.com/view/perception-cv4arvr/blazeface),
and model details are described in the
[model card](https://sites.google.com/corp/view/perception-cv4arvr/blazeface#h.p_21ojPZDx3cqq).
* [Android](./face_detection_mobile_gpu.md#android)
* [iOS](./face_detection_mobile_gpu.md#ios)
@@ -71,8 +72,9 @@ MediaPipe with a TFLite model for hand tracking in a GPU-accelerated pipeline.
[Hair Segmentation on GPU](./hair_segmentation_mobile_gpu.md) illustrates how to
use MediaPipe with a TFLite model for hair segmentation in a GPU-accelerated
pipeline. The selfie hair segmentation TFLite model is based on
["Real-time Hair segmentation and recoloring on Mobile GPUs"](https://sites.google.com/view/perception-cv4arvr/hair-segmentation).
[Model card](https://sites.google.com/corp/view/perception-cv4arvr/hair-segmentation#h.p_NimuO7PgHxlY).
["Real-time Hair segmentation and recoloring on Mobile GPUs"](https://sites.google.com/view/perception-cv4arvr/hair-segmentation),
and model details are described in the
[model card](https://sites.google.com/corp/view/perception-cv4arvr/hair-segmentation#h.p_NimuO7PgHxlY).
* [Android](./hair_segmentation_mobile_gpu.md#android)