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I trained HRNet-W32-C in imagenet, got the pretrained cls model (final_state.pth.tar) which has 1956 keys.
However, the pretrained model (hrnet_w32-36af842e.pth) provided by pose_hrnet_w32 [https://github.com/leoxiaobin/deep-high-resolution-net.pytorch] has 2000 keys.
I compared the keys of them, the classification pretraining lacks some keys, what should I do? Looking forward to your reply.
The text was updated successfully, but these errors were encountered:
Thanks for such a great work.
I trained HRNet-W32-C in imagenet, got the pretrained cls model (final_state.pth.tar) which has 1956 keys.
However, the pretrained model (hrnet_w32-36af842e.pth) provided by pose_hrnet_w32 [https://github.com/leoxiaobin/deep-high-resolution-net.pytorch] has 2000 keys.
I compared the keys of them, the classification pretraining lacks some keys, what should I do? Looking forward to your reply.
The text was updated successfully, but these errors were encountered: