deep-high-resolution-net.pytorch
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The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"
skipping 'cpu_nms.c' Cython extension (up-to-date) skipping 'gpu_nms.cpp' Cython extension (up-to-date)
When I test on MPII and COCO dataset using model zoo's models, I found COCO dataset will get a json file, but MPII file only get a mat file, does...
How well the model performs in occlusion scenario and tracking scenario?
Anyone tried this demo on Win10? I don't know what to do after building the docker. Something wrong when I run ' inference.py --cfg inference-config.yaml \ '
The MPII dataset training can only achieve the accuracy of 89.8 on MPII VAL, which cannot reach the 90.3 in the paper
Thank you for the amazing work! I am trying to train the model on Coco dataset on two Gpus. As soon the images are loaded my machine goes into an...
I follow the instruction by README,yet get a very low AP ,i tried many times in different GPU,still got 69AP in MPII val set and 11.5AP in COCO val set....
Since the author did not shows how to export the pytorch model to onnx. I write a script to do it. You can launch the script by running: python tools/export_onnx.py...