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利用掩码RCNN进行人体姿态估计

利用掩码RCNN进行人体姿态估计

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zip

这是一个使用 Python 和 MASK-RCNN 实现人体姿态估计的案例。作为计算机视觉中一个常见的应用，本案例着重于目标检测和识别。该项目应用广泛，易于二次开发和改进。当然，你需要熟悉算法原理和源码。

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人体姿态识别.zip 预估大小：43个文件
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Keypoints-of-humanpose-with-Mask-R-CNN-master 文件夹
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utils.py 37KB
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20181121204314679.png 24KB
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pose_train.py 3KB
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coco.py 25KB
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inference_humanpose.ipynb 4.64MB
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model.py 154KB
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video_realtime.py 5KB
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Humanpose-images 文件夹
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demo_human_pose.ipynb 1.99MB
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train_human_pose.ipynb 7KB
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f112c9fda85536ee3eba662c9043e683.bat 70B
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inspect_humanpose.ipynb 246KB
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parallel_model.py 7KB
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pose_test.py 2KB
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logs 文件夹
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coco20191025T1249 文件夹
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events.out.tfevents.1571978990.P-V-12 23.26MB
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inspect_keypoint_maskrcnn.ipynb 2.79MB
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mask_rcnn_coco.h5 245.63MB
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images 文件夹
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000000003934.jpg 135KB
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000000001296.jpg 200KB
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25691390_f9944f61b5_z.jpg 176KB
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12283150_12d37e6389_z.jpg 67KB
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000000000872.jpg 310KB
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test photos 1B
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000000002685.jpg 266KB
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000000004765.jpg 136KB
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000000000785.jpg 131KB
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000000000885.jpg 109KB
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000000005001.jpg 207KB
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000000003156.jpg 124KB
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000000004134.jpg 156KB
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video_demo.py 5KB
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__pycache__ 文件夹
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pose.cpython-36.pyc 2KB
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visualize.cpython-36.pyc 17KB
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model.cpython-36.pyc 93KB
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coco.cpython-36.pyc 15KB
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config.cpython-36.pyc 3KB
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utils.cpython-36.pyc 29KB
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results 文件夹
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video1.png 389KB
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video2.png 409KB
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result 1B
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README.md 6KB
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mask_rcnn_coco_humanpose.h5 311.79MB
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visualize.py 25KB
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config.py 6KB
zip 文件大小：530.27MB