Flow-Guided-Feature-Aggregation
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Error in demo.py and question about groundtruth_motion_iou
I test an image from my own dataset, and it occurs the following error in demo.py, how to solve it? Another question is I want to finetune my own dataset, how to generate "groundtruth_motion_iou" file in config.py? Please help me~
get-predictor Traceback (most recent call last): File "/home/sipl03/lx/code/Flow-Guided-Feature-Aggregation-master/fgfa_rfcn/demo.py", line 259, in
main() File "/home/sipl03/lx/code/Flow-Guided-Feature-Aggregation-master/fgfa_rfcn/demo.py", line 232, in main pred_result = im_detect(aggr_predictors, data_batch, data_names, scales, cfg) File "/home/sipl03/lx/code/Flow-Guided-Feature-Aggregation-master/fgfa_rfcn/core/tester.py", line 144, in im_detect output_all = predictor.predict(data_batch) File "/home/sipl03/lx/code/Flow-Guided-Feature-Aggregation-master/fgfa_rfcn/core/tester.py", line 41, in predict self._mod.forward(data_batch) File "/home/sipl03/lx/code/Flow-Guided-Feature-Aggregation-master/fgfa_rfcn/core/module.py", line 1045, in forward shared_module=self._curr_module) File "/home/sipl03/lx/code/Flow-Guided-Feature-Aggregation-master/fgfa_rfcn/core/module.py", line 401, in bind state_names=self._state_names) File "/home/sipl03/lx/code/Flow-Guided-Feature-Aggregation-master/fgfa_rfcn/core/DataParallelExecutorGroup.py", line 191, in init self.bind_exec(data_shapes, label_shapes, shared_group) File "/home/sipl03/lx/code/Flow-Guided-Feature-Aggregation-master/fgfa_rfcn/core/DataParallelExecutorGroup.py", line 277, in bind_exec shared_group)) File "/home/sipl03/lx/code/Flow-Guided-Feature-Aggregation-master/fgfa_rfcn/core/DataParallelExecutorGroup.py", line 494, in _bind_ith_exec arg_shapes, _, aux_shapes = self.symbol.infer_shape(**input_shapes) File "/usr/local/lib/python2.7/dist-packages/mxnet-1.3.0-py2.7.egg/mxnet/symbol/symbol.py", line 996, in infer_shape res = self._infer_shape_impl(False, *args, **kwargs) File "/usr/local/lib/python2.7/dist-packages/mxnet-1.3.0-py2.7.egg/mxnet/symbol/symbol.py", line 1126, in _infer_shape_impl ctypes.byref(complete))) File "/usr/local/lib/python2.7/dist-packages/mxnet-1.3.0-py2.7.egg/mxnet/base.py", line 255, in check_call raise MXNetError(py_str(_LIB.MXGetLastError())) mxnet.base.MXNetError: Error in operator concat0: [11:01:47] src/operator/nn/concat.cc:66: Check failed: shape_assign(&(*in_shape)[i], dshape) Incompatible input shape: expected [19,0,794,600], got [10,3,794,600]
@liangxi627 Have you sloved it? I got a similar error during testing.
No, I have changed to another network.
I got a similar error. Anyone could help me?
@liangxi627 Have you sloved it? I got a similar error during testing.
Have you solved this issue?
I got a similar error. Anyone could help me?
@zhrjzrj Have you solved this issue?
@liangxi627 @zhrjzrj @noirblack please make sure that your video sequence is longer than 19 (2*KEY_FRAME_INTERVAL+1), if the KEY_FRAME_INTERVAL = 9.
@liangxi627 @wangpichao @zhrjzrj @noirblack @YuwenXiong you know how to generate "groundtruth_motion_iou" file?
@wangpichao @liangxi627 @noirblack @zhrjzrj @Gmy12138 Could u please refer to this issues https://github.com/Scalsol/mega.pytorch/issues/73#issue-754884469
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