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Sports Coaching from Pose Estimation
  1. Python 64.8%
  2. Cuda 35.2%
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@chuanqichen
chuanqichen Add target pose image output in test.py
Latest commit 535e0a3 Jun 11, 2019
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README.md saving more data on evaluation May 25, 2019
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setup.py add yaml environment file May 5, 2019

README.md

Sports Coaching from Pose Estimation

#Configuration Conda environment file: environment.yml

To evaluate on a single image (this is all within the baseline folder):

python pose_estimation/evaluate.py --cfg experiments/mpii/resnet50/256x256_d256x3_adam_lr1e-3.yaml --model-file models/pytorch/pose_mpii/pose_resnet_50_256x256.pth.tar --out_file foo

This will save both the image and the raw pose data in the output dir corresponding to the model

  • foo_pred.jpg
  • foo_pred.jpg.poses.json

To change the image, change the following line in pose_estimation/evaluate.py: eval_image='/home/shared/deepcoaching/custom_data/pro3.jpg' # NOTE: Change this to run on arbitrary image

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