Fast and accurate single-person pose estimation, ranked 10th at CVPR'19 LIP challenge. Contains implementation of "Global Context for Convolutional Pose Machines" paper.
File "/Users/wenyan/workspace/Research/bodyPose/projects/gccpm-look-into-person-cvpr19.pytorch/train.py", line 87, in train
for batch_data in train_loader:
File "/usr/local/lib/python3.7/site-packages/torch/utils/data/dataloader.py", line 819, in next
return self._process_data(data)
File "/usr/local/lib/python3.7/site-packages/torch/utils/data/dataloader.py", line 846, in _process_data
data.reraise()
File "/usr/local/lib/python3.7/site-packages/torch/_utils.py", line 385, in reraise
raise self.exc_type(msg)
File "/Users/wenyan/workspace/Research/bodyPose/projects/gccpm-look-into-person-cvpr19.pytorch/train.py", line 87, in train for batch_data in train_loader: File "/usr/local/lib/python3.7/site-packages/torch/utils/data/dataloader.py", line 819, in next return self._process_data(data) File "/usr/local/lib/python3.7/site-packages/torch/utils/data/dataloader.py", line 846, in _process_data data.reraise() File "/usr/local/lib/python3.7/site-packages/torch/_utils.py", line 385, in reraise raise self.exc_type(msg)