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MediaPipe Team 2020-11-04 19:46:41 -05:00 committed by chuoling
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12
README.md
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@ -59,12 +59,12 @@ MediaPipe Python package is available on
[PyPI](https://pypi.org/project/mediapipe/), and can be installed simply by `pip [PyPI](https://pypi.org/project/mediapipe/), and can be installed simply by `pip
install mediapipe` on Linux and macOS, as described in: install mediapipe` on Linux and macOS, as described in:
* [MediaPipe Face Mesh](../solutions/pose.md#python) and * [MediaPipe Face Mesh](https://google.github.io/mediapipe/solutions/face_mesh#python)
[colab](https://mediapipe.page.link/face_mesh_py_colab) ([colab](https://mediapipe.page.link/face_mesh_py_colab))
* [MediaPipe Hands](../solutions/pose.md#python) and * [MediaPipe Hands](https://google.github.io/mediapipe/solutions/hands#python)
[colab](https://mediapipe.page.link/hands_py_colab) ([colab](https://mediapipe.page.link/hands_py_colab))
* [MediaPipe Pose](../solutions/pose.md#python) and * [MediaPipe Pose](https://google.github.io/mediapipe/solutions/pose#python)
[colab](https://mediapipe.page.link/pose_py_colab) ([colab](https://mediapipe.page.link/pose_py_colab))
## MediaPipe on the Web ## MediaPipe on the Web

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docs/index.md
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@ -59,12 +59,12 @@ MediaPipe Python package is available on
[PyPI](https://pypi.org/project/mediapipe/), and can be installed simply by `pip [PyPI](https://pypi.org/project/mediapipe/), and can be installed simply by `pip
install mediapipe` on Linux and macOS, as described in: install mediapipe` on Linux and macOS, as described in:
* [MediaPipe Face Mesh](../solutions/pose.md#python) and * [MediaPipe Face Mesh](https://google.github.io/mediapipe/solutions/face_mesh#python)
[colab](https://mediapipe.page.link/face_mesh_py_colab) ([colab](https://mediapipe.page.link/face_mesh_py_colab))
* [MediaPipe Hands](../solutions/pose.md#python) and * [MediaPipe Hands](https://google.github.io/mediapipe/solutions/hands#python)
[colab](https://mediapipe.page.link/hands_py_colab) ([colab](https://mediapipe.page.link/hands_py_colab))
* [MediaPipe Pose](../solutions/pose.md#python) and * [MediaPipe Pose](https://google.github.io/mediapipe/solutions/pose#python)
[colab](https://mediapipe.page.link/pose_py_colab) ([colab](https://mediapipe.page.link/pose_py_colab))
## MediaPipe on the Web ## MediaPipe on the Web

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docs/solutions/objectron.md
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@ -20,7 +20,7 @@ through a machine learning (ML) model, trained on a newly created 3D dataset.
![objectron_shoe_android_gpu.gif](../images/mobile/objectron_shoe_android_gpu.gif) | ![objectron_chair_android_gpu.gif](../images/mobile/objectron_chair_android_gpu.gif) | ![objectron_camera_android_gpu.gif](../images/mobile/objectron_camera_android_gpu.gif) | ![objectron_cup_android_gpu.gif](../images/mobile/objectron_cup_android_gpu.gif) ![objectron_shoe_android_gpu.gif](../images/mobile/objectron_shoe_android_gpu.gif) | ![objectron_chair_android_gpu.gif](../images/mobile/objectron_chair_android_gpu.gif) | ![objectron_camera_android_gpu.gif](../images/mobile/objectron_camera_android_gpu.gif) | ![objectron_cup_android_gpu.gif](../images/mobile/objectron_cup_android_gpu.gif)
:--------------------------------------------------------------------------------: | :----------------------------------------------------------------------------------: | :------------------------------------------------------------------------------------: | :------------------------------------------------------------------------------: :--------------------------------------------------------------------------------: | :----------------------------------------------------------------------------------: | :------------------------------------------------------------------------------------: | :------------------------------------------------------------------------------:
*Fig 1(a). Objectron for Shoes.* | *Fig 1(b). Objectron for Chairs.* | *Fig 1(c). Objectron for Cameras.* | *Fig 1(d). Objectron for Cups.* *Fig 1a. Shoe Objectron* | *Fig 1b. Camera Objectron* | *Fig 1c. Camera Objectron* | *Fig 1d. Cup Objectron*
Object detection is an extensively studied computer vision problem, but most of Object detection is an extensively studied computer vision problem, but most of
the research has focused on the research has focused on