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there is no w32_256x256_adam_lr1e-3.yaml #22
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I had download your model and updated the w32_256x192_adam_lr1e-3.yaml from Hrnet |
can you run the origin hrnet repo with the pretrained models provided by the origin hrnet repo? |
If you can't, you should question on the origin hrnet repo for support. |
try not to use the origin hrnet repo alone with the pretrained models in this repo, so do the inverse |
your repo should use https://github.com/leoxiaobin/deep-high-resolution-net.pytorch/blob/master/experiments/coco/hrnet/w32_256x192_adam_lr1e-3.yaml |
emmm, but the others have no problem about using this. make sure that you use this config: experiments/coco/hrnet/w32_256x192_adam_lr1e-3_offset_ofm.yaml run this under https://github.com/HuangJunJie2017/UDP-Pose/tree/master/deep-high-resolution-net.pytorch ? python tools/test.py --cfg experiments/coco/hrnet/w32_256x192_adam_lr1e-3_offset_ofm.yaml TEST.MODEL_FILE models/pytorch/pose_coco/UDP-hrnet_w32_256x192.pth TEST.USE_GT_BBOX False |
thank you |
I run
python tools/test.py
--cfg experiments/coco/hrnet/w32_256x192_adam_lr1e-3.yaml
TEST.MODEL_FILE models/pytorch/pose_coco/pose_hrnet_w32_256x192.pth
TEST.USE_GT_BBOX Fals
from https://github.com/HuangJunJie2017/UDP-Pose/tree/master/deep-high-resolution-net.pytorch
but in experiments/coco/hrnet/ just have w32_256x192_adam_lr1e-3_offset_ofm.yaml and does not match pose_hrnet_w32_256x192.pth
https://github.com/HuangJunJie2017/UDP-Pose/tree/master/deep-high-resolution-net.pytorch/experiments/coco/hrnet
and how to run your UDP-hrnet_w32_256x192
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