I get this following error running inference on OTB sequences dataset.
Couldn't load custom C++ ops. This can happen if your PyTorch and torchvision versions are incompatible, or if you had errors while compiling torchvision from source. For further information on the compatible versions, check https://github.com/pytorch/vision#installation for the compatibility matrix. Please check your PyTorch version with torch.__version__ and your torchvision version with torchvision.__version__ and verify if they are compatible, and if not please reinstall torchvision so that it matches your PyTorch install. Traceback (most recent call last): File "tracking/../lib/test/evaluation/running.py", line 138, in run_sequence output = tracker.run_sequence(seq, debug=debug) File "tracking/../lib/test/evaluation/tracker.py", line 88, in run_sequence output = self._track_sequence(tracker, seq, init_info) File "tracking/../lib/test/evaluation/tracker.py", line 143, in _track_sequence out = tracker.track(image, info) File "tracking/../lib/test/tracker/jointnlt.py", line 130, in track out_dict = self.network.forward_test(self.text_dict, self.template_dict, search_patch, temporal) File "tracking/../lib/models/JointNLT.py", line 196, in forward_test return self.forward_joint(text_src, text_mask, template_src, template_mask, search_src, search_mask, temporal) File "tracking/../lib/models/JointNLT.py", line 168, in forward_joint roi_feature = self.get_target_feature(search_tokens, pred_boxes) File "tracking/../lib/models/JointNLT.py", line 210, in get_target_feature target_roi_feature = self.roi(opt_feat, boxes) File "/anaconda/envs/joint/lib/python3.7/site-packages/torch/nn/modules/module.py", line 1110, in _call_impl return forward_call(*input, **kwargs) File "/anaconda/envs/joint/lib/python3.7/site-packages/torchvision/ops/roi_align.py", line 86, in forward return roi_align(input, rois, self.output_size, self.spatial_scale, self.sampling_ratio, self.aligned) File "/anaconda/envs/joint/lib/python3.7/site-packages/torchvision/ops/roi_align.py", line 55, in roi_align _assert_has_ops() File "/anaconda/envs/joint/lib/python3.7/site-packages/torchvision/extension.py", line 34, in _assert_has_ops "Couldn't load custom C++ ops. This can happen if your PyTorch and " RuntimeError: Couldn't load custom C++ ops. This can happen if your PyTorch and torchvision versions are incompatible, or if you had errors while compiling torchvision from source. For further information on the compatible versions, check https://github.com/pytorch/vision#installation for the compatibility matrix. Please check your PyTorch version with torch.__version__ and your torchvision version with torchvision.__version__ and verify if they are compatible, and if not please reinstall torchvision so that it matches your PyTorch install.
I prepared a conda env with joint.yml.
It had two issues, so I had to change their versions manually.
external=2.0 version doesn't exist.
clip=1.0