Strange Problem #293
Comments
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Hi, This is weird. I suppose that you are running an unmodified version of |
Pytorch 1.0 I compiled on ubuntu |
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can you do import torch
print(torch.__version__)and and paste the results here? |
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import torch 1.0.0a0+bb9b7de git log -n 1 commit 4ab3356 (HEAD -> master, origin/master, origin/HEAD) |
import torch 1.0.0a0+bb9b7de git log -n 1 commit 4ab3356 (HEAD -> master, origin/master, origin/HEAD) fix error when running with --show-mask-heatmaps (#274) |
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I just tried reproducing the problem with the latest nightly of PyTorch, but I couldn't reproduce it. |
❓ Questions and Help
Traceback (most recent call last):
File "webcam.py", line 80, in
main()
File "webcam.py", line 71, in main
composite = coco_demo.run_on_opencv_image(img)
File "/media/wjl/New/maskrcnn-benchmark/demo/predictor.py", line 171, in run_on_opencv_image
predictions = self.compute_prediction(image)
File "/media/wjl/New/maskrcnn-benchmark/demo/predictor.py", line 202, in compute_prediction
predictions = self.model(image_list)
File "/usr/local/lib/python3.6/dist-packages/torch/nn/modules/module.py", line 489, in call
result = self.forward(*input, **kwargs)
File "/usr/local/lib/python3.6/dist-packages/maskrcnn_benchmark-0.1-py3.6-linux-x86_64.egg/maskrcnn_benchmark/modeling/detector/generalized_rcnn.py", line 50, in forward
proposals, proposal_losses = self.rpn(images, features, targets)
File "/usr/local/lib/python3.6/dist-packages/torch/nn/modules/module.py", line 489, in call
result = self.forward(*input, **kwargs)
File "/usr/local/lib/python3.6/dist-packages/maskrcnn_benchmark-0.1-py3.6-linux-x86_64.egg/maskrcnn_benchmark/modeling/rpn/rpn.py", line 102, in forward
return self._forward_test(anchors, objectness, rpn_box_regression)
File "/usr/local/lib/python3.6/dist-packages/maskrcnn_benchmark-0.1-py3.6-linux-x86_64.egg/maskrcnn_benchmark/modeling/rpn/rpn.py", line 128, in _forward_test
boxes = self.box_selector_test(anchors, objectness, rpn_box_regression)
File "/usr/local/lib/python3.6/dist-packages/torch/nn/modules/module.py", line 489, in call
result = self.forward(*input, **kwargs)
File "/usr/local/lib/python3.6/dist-packages/maskrcnn_benchmark-0.1-py3.6-linux-x86_64.egg/maskrcnn_benchmark/modeling/rpn/inference.py", line 138, in forward
sampled_boxes.append(self.forward_for_single_feature_map(a, o, b))
File "/usr/local/lib/python3.6/dist-packages/maskrcnn_benchmark-0.1-py3.6-linux-x86_64.egg/maskrcnn_benchmark/modeling/rpn/inference.py", line 118, in forward_for_single_feature_map
score_field="objectness",
File "/usr/local/lib/python3.6/dist-packages/maskrcnn_benchmark-0.1-py3.6-linux-x86_64.egg/maskrcnn_benchmark/structures/boxlist_ops.py", line 27, in boxlist_nms
keep = _box_nms(boxes, score, nms_thresh)
RuntimeError: Dimension out of range (expected to be in range of [-2, 1], but got 2) (maybe_wrap_dim at /media/wjl/New/maskrcnn-benchmark/pytorch/c10/core/WrapDimMinimal.h:18)
frame #0: c10::Error::Error(c10::SourceLocation, std::__cxx11::basic_string<char, std::char_traits, std::allocator > const&) + 0x6c (0x7fc2942a37fc in /usr/local/lib/python3.6/dist-packages/torch/lib/libc10.so)
frame #1: + 0x5d9bc3 (0x7fc294d19bc3 in /usr/local/lib/python3.6/dist-packages/torch/lib/libcaffe2.so)
frame #2: at::native::min_out(at::Tensor&, at::Tensor&, at::Tensor const&, long, bool) + 0x66 (0x7fc294d1d366 in /usr/local/lib/python3.6/dist-packages/torch/lib/libcaffe2.so)
frame #3: at::native::min(at::Tensor const&, long, bool) + 0xdd (0x7fc294d1d7fd in /usr/local/lib/python3.6/dist-packages/torch/lib/libcaffe2.so)
frame #4: at::TypeDefault::min(at::Tensor const&, long, bool) const + 0x91 (0x7fc294f3a191 in /usr/local/lib/python3.6/dist-packages/torch/lib/libcaffe2.so)
frame #5: torch::autograd::VariableType::min(at::Tensor const&, long, bool) const + 0x252 (0x7fc29765f022 in /usr/local/lib/python3.6/dist-packages/torch/lib/libtorch.so.1)
frame #6: at::native::argmin(at::Tensor const&, long, bool) + 0x4d (0x7fc294d1b84d in /usr/local/lib/python3.6/dist-packages/torch/lib/libcaffe2.so)
frame #7: at::TypeDefault::argmin(at::Tensor const&, long, bool) const + 0x91 (0x7fc294f318d1 in /usr/local/lib/python3.6/dist-packages/torch/lib/libcaffe2.so)
frame #8: torch::autograd::VariableType::argmin(at::Tensor const&, long, bool) const + 0x16a (0x7fc29761785a in /usr/local/lib/python3.6/dist-packages/torch/lib/libtorch.so.1)
frame #9: at::native::_argmin(at::Tensor const&, long, bool) + 0x48 (0x7fc294d19f18 in /usr/local/lib/python3.6/dist-packages/torch/lib/libcaffe2.so)
frame #10: at::TypeDefault::_argmin(at::Tensor const&, long, bool) const + 0x91 (0x7fc294f31ac1 in /usr/local/lib/python3.6/dist-packages/torch/lib/libcaffe2.so)
frame #11: torch::autograd::VariableType::_argmin(at::Tensor const&, long, bool) const + 0x16a (0x7fc297615f9a in /usr/local/lib/python3.6/dist-packages/torch/lib/libtorch.so.1)
frame #12: nms(at::Tensor const&, at::Tensor const&, float) + 0xc7 (0x7fc26b0a9bb7 in /usr/local/lib/python3.6/dist-packages/maskrcnn_benchmark-0.1-py3.6-linux-x86_64.egg/maskrcnn_benchmark/_C.cpython-36m-x86_64-linux-gnu.so)
frame #13: + 0x20a78 (0x7fc26b0b5a78 in /usr/local/lib/python3.6/dist-packages/maskrcnn_benchmark-0.1-py3.6-linux-x86_64.egg/maskrcnn_benchmark/_C.cpython-36m-x86_64-linux-gnu.so)
frame #14: + 0x1dd4c (0x7fc26b0b2d4c in /usr/local/lib/python3.6/dist-packages/maskrcnn_benchmark-0.1-py3.6-linux-x86_64.egg/maskrcnn_benchmark/_C.cpython-36m-x86_64-linux-gnu.so)
frame #16: python3() [0x54ffe4]
frame #18: python3() [0x54fbe1]
frame #19: python3() [0x54fe6d]
frame #21: python3() [0x54f0e8]
frame #22: python3() [0x550116]
frame #24: python3() [0x54fbe1]
frame #29: python3() [0x54fbe1]
frame #33: python3() [0x4e0e9b]
frame #35: python3() [0x54fd37]
frame #37: python3() [0x54f0e8]
frame #38: python3() [0x550116]
frame #40: python3() [0x54fbe1]
frame #45: python3() [0x54fbe1]
frame #49: python3() [0x4e0e9b]
frame #51: python3() [0x54fd37]
frame #53: python3() [0x54fbe1]
frame #58: python3() [0x54fbe1]
frame #62: python3() [0x4e0e9b]
Python 3.6
Cuda10.0
Pytorch 1.0
Ubuntu 18.04
Gcc 7
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