hello,I haven't changed your code,but there is a problem:
" File "E:/python_console/pose_2/Poseur-main1/tools/train.py", line 202, in
main()
File "E:/python_console/pose_2/Poseur-main1/tools/train.py", line 198, in main
meta=meta)
File "E:\python_console\pose_2\Poseur-main\mmpose\apis\train.py", line 212, in train_model
runner.run(data_loaders, cfg.workflow, cfg.total_epochs)
File "E:\ana\envs\ptorch\lib\site-packages\mmcv\runner\epoch_based_runner.py", line 136, in run
epoch_runner(data_loaders[i], kwargs)
File "E:\ana\envs\ptorch\lib\site-packages\mmcv\runner\epoch_based_runner.py", line 53, in train
self.run_iter(data_batch, train_mode=True, kwargs)
File "E:\ana\envs\ptorch\lib\site-packages\mmcv\runner\epoch_based_runner.py", line 32, in run_iter
kwargs)
File "E:\ana\envs\ptorch\lib\site-packages\mmcv\parallel\data_parallel.py", line 77, in train_step
return self.module.train_step(inputs[0], kwargs[0])
File "E:\python_console\pose_2\Poseur-main\mmpose\models\detectors\base.py", line 95, in train_step
losses = self.forward(data_batch)
File "E:\ana\envs\ptorch\lib\site-packages\mmcv\runner\fp16_utils.py", line 146, in new_func
output = old_func(new_args, new_kwargs)
File "E:\python_console\pose_2\Poseur-main\mmpose\models\detectors\poseur.py", line 92, in forward
*kwargs)
File "E:\python_console\pose_2\Poseur-main\mmpose\models\detectors\poseur.py", line 115, in forward_train
output = self.keypoint_head(output, img_metas)
File "E:\ana\envs\ptorch\lib\site-packages\torch\nn\modules\module.py", line 1130, in _call_impl
return forward_call(input, **kwargs)
TypeError: forward() takes 2 positional arguments but 3 were given"
what is the keypoint_head's input?
Hi, @flomok, the input of keypoint head is the multi-level features from the neck. You can pull the code from the main branch and try it again. We have fixed the problem.
hello,I haven't changed your code,but there is a problem: " File "E:/python_console/pose_2/Poseur-main1/tools/train.py", line 202, in
main()
File "E:/python_console/pose_2/Poseur-main1/tools/train.py", line 198, in main
meta=meta)
File "E:\python_console\pose_2\Poseur-main\mmpose\apis\train.py", line 212, in train_model
runner.run(data_loaders, cfg.workflow, cfg.total_epochs)
File "E:\ana\envs\ptorch\lib\site-packages\mmcv\runner\epoch_based_runner.py", line 136, in run
epoch_runner(data_loaders[i], kwargs)
File "E:\ana\envs\ptorch\lib\site-packages\mmcv\runner\epoch_based_runner.py", line 53, in train
self.run_iter(data_batch, train_mode=True, kwargs)
File "E:\ana\envs\ptorch\lib\site-packages\mmcv\runner\epoch_based_runner.py", line 32, in run_iter
kwargs)
File "E:\ana\envs\ptorch\lib\site-packages\mmcv\parallel\data_parallel.py", line 77, in train_step
return self.module.train_step(inputs[0], kwargs[0])
File "E:\python_console\pose_2\Poseur-main\mmpose\models\detectors\base.py", line 95, in train_step
losses = self.forward(data_batch)
File "E:\ana\envs\ptorch\lib\site-packages\mmcv\runner\fp16_utils.py", line 146, in new_func
output = old_func(new_args, new_kwargs)
File "E:\python_console\pose_2\Poseur-main\mmpose\models\detectors\poseur.py", line 92, in forward
*kwargs)
File "E:\python_console\pose_2\Poseur-main\mmpose\models\detectors\poseur.py", line 115, in forward_train
output = self.keypoint_head(output, img_metas)
File "E:\ana\envs\ptorch\lib\site-packages\torch\nn\modules\module.py", line 1130, in _call_impl
return forward_call(input, **kwargs)
TypeError: forward() takes 2 positional arguments but 3 were given"
what is the keypoint_head's input?