3dpose / 3D-Multi-Person-Pose

3D Multi-Person Pose Estimation by Integrating Top-Down and Bottom-Up Networks
MIT License
165 stars 21 forks source link

checkpoint is not compatible with the network architecture #24

Open ZhengzxDev opened 1 year ago

ZhengzxDev commented 1 year ago

your model is perfectly satisfied with our requirements, but after several attempts, it seems that the checkpoint file that you provided is not compatible with the code. can you provide the latest pretrain-model? edc3a62d64d38b2373738aae6c66be77

chojinie commented 1 year ago

me too. how can i get pre-trained model?

jpsml commented 1 year ago

I am getting a similar error:

normal init for last conv Trying to load from: ./ckpts/model_btmup/ Traceback (most recent call last): File "calculate_mupots_btmup.py", line 30, in M.Saver(model).restore('./ckpts/model_btmup/') File "/home/jpsml/anaconda3/envs/3dmpp/lib/python3.6/site-packages/TorchSUL/Model.py", line 156, in restore self.model.load_state_dict(state_dict, strict=strict) File "/home/jpsml/anaconda3/envs/3dmpp/lib/python3.6/site-packages/torch/nn/modules/module.py", line 1037, in load_state_dict load(self) File "/home/jpsml/anaconda3/envs/3dmpp/lib/python3.6/site-packages/torch/nn/modules/module.py", line 1035, in load load(child, prefix + name + '.') File "/home/jpsml/anaconda3/envs/3dmpp/lib/python3.6/site-packages/torch/nn/modules/module.py", line 1035, in load load(child, prefix + name + '.') File "/home/jpsml/anaconda3/envs/3dmpp/lib/python3.6/site-packages/torch/nn/modules/module.py", line 1035, in load load(child, prefix + name + '.') [Previous line repeated 1 more time] File "/home/jpsml/anaconda3/envs/3dmpp/lib/python3.6/site-packages/torch/nn/modules/module.py", line 1032, in load state_dict, prefix, local_metadata, True, missing_keys, unexpected_keys, error_msgs) File "/home/jpsml/anaconda3/envs/3dmpp/lib/python3.6/site-packages/TorchSUL/Layers.py", line 106, in _load_from_state_dict raise Exception('No weight found for layer:', prefix) Exception: ('No weight found for layer:', 'backbone.lastfuse.c_all.conv.')

ddddwee1 commented 12 months ago

Please try to downgrade your TorchSUL to 0.1.28