microsoft / MaskFlownet

[CVPR 2020, Oral] MaskFlownet: Asymmetric Feature Matching with Learnable Occlusion Mask
https://arxiv.org/abs/2003.10955
MIT License
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Some problems about MXNetError #21

Open Naturallyyeyeye opened 4 years ago

Naturallyyeyeye commented 4 years ago

Hi, When I run the main.py with "MaskFlownet_S_sintel.yaml --dataset_cfg sintel_kitti2015_hd1k.yaml -g 0 -c dbbSep30-1206 --clear_steps", i got the error like below: Traceback (most recent call last): File "/MaskFlownet-master/main.py", line 537, in train_log = pipe.train_batch(img1, img2, flow, geo_aug, color_aug, mask = mask) File "/MaskFlownet-master/network/pipeline.py", line 101, in train_batch img1s, img2s, labels, masks = geo_aug(img1s, img2s, labels, masks) File "/anaconda3/envs/maskflownet2/lib/python3.6/site-packages/mxnet/gluon/block.py", line 548, in call out = self.forward(args) File "/anaconda3/envs/maskflownet2/lib/python3.6/site-packages/mxnet/gluon/block.py", line 915, in forward return self._call_cached_op(x, args) File "/anaconda3/envs/maskflownet2/lib/python3.6/site-packages/mxnet/gluon/block.py", line 821, in _call_cached_op out = self._cached_op(*cargs) File "/anaconda3/envs/maskflownet2/lib/python3.6/site-packages/mxnet/_ctypes/ndarray.py", line 150, in call ctypes.byref(out_stypes))) File "/anaconda3/envs/maskflownet2/lib/python3.6/site-packages/mxnet/base.py", line 253, in check_call raise MXNetError(py_str(_LIB.MXGetLastError())) mxnet.base.MXNetError: Error in operator geometryaugmentation0_bilinearsampler0: [14:00:56] src/operator/./bilinear_sampler-inl.h:158: Check failed: dshape[0] == lshape[0] (1 vs. 4) : Can I ask for a help? Thank you very much in advance.

simon1727 commented 4 years ago

Hi Naturallyyeyeye, thanks for your interest in our work.

I have never met this problem. What's your MXNet version?

Naturallyyeyeye commented 4 years ago

Hi Naturallyyeyeye, thanks for your interest in our work.

I have never met this problem. What's your MXNet version?

I install mxnet with the code in terminal as follows:pip install mxnet-cu101==1.5 -i https://pypi.tuna.tsinghua.edu.cn/simple.