open-mmlab / mmtracking Goto Github PK

$ python demo/demo_mot.py configs/mot/deepsort/deepsort_faster-rcnn_fpn_4e_mot17-private-half.py --input demo/demo.mp4 --output mot.mp4
2021-01-06 19:52:33,660 - mmtrack - INFO - load detector from: checkpoints/fasterrcnn_r50_fpn_4e_mot17-half-64ee2ed4.pth
2021-01-06 19:52:33,861 - mmtrack - INFO - load reid from:checkpoints/reid/tracktor_reid_r50_iter25245-a452f51f.pth
Traceback (most recent call last):
  File "demo/demo_mot.py", line 88, in <module>
    main()
  File "demo/demo_mot.py", line 57, in main
    model = init_model(args.config, args.checkpoint, device=args.device)
  File "/home/smile/mmtracking/mmtrack/apis/inference.py", line 34, in init_model
    model = build_model(config.model)
  File "/home/smile/mmtracking/mmtrack/models/builder.py", line 69, in build_model
    return build(cfg, MODELS)
  File "/home/smile/mmtracking/mmtrack/models/builder.py", line 34, in build
    return build_from_cfg(cfg, registry, default_args)
  File "/home/smile/tools/mmcv/mmcv/utils/registry.py", line 171, in build_from_cfg
    return obj_cls(**args)
  File "/home/smile/mmtracking/mmtrack/models/mot/deep_sort.py", line 35, in __init__
    self.init_weights(pretrains)
  File "/home/smile/mmtracking/mmtrack/models/mot/deep_sort.py", line 49, in init_weights
    self.init_module('reid', pretrain['reid'])
  File "/home/smile/mmtracking/mmtrack/models/mot/base.py", line 35, in init_module
    if 'CLASSES' in checkpoint['meta']:
KeyError: 'meta'

>>> model = torch.load("checkpoints/reid/tracktor_reid_r50_iter25245-a452f51f.pth")
>>> model["meta"]
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
KeyError: 'meta'

usage: demo_mot.py [-h] [--input INPUT] [--output OUTPUT] [--checkpoint CHECKPOINT] [--device DEVICE] [--show] [--backend {cv2,plt}] [--fps FPS] config
demo_mot.py: error: unrecognized arguments: -i demo/demo.mp4 -o mot.mp4

  File "tools/train.py", line 168, in <module>
    main()
  File "tools/train.py", line 141, in main
    model = build_model(cfg.model)
  File "mmtracking\mmtrack\models\builder.py", line 69, in build_model
    return build(cfg, MODELS)
  File "mmtracking\mmtrack\models\builder.py", line 34, in build
    return build_from_cfg(cfg, registry, default_args)
  File "C:\Users\FCA\Miniconda3\envs\mmtracking\lib\site-packages\mmcv\utils\registry.py", line 171, in build_from_cfg
    return obj_cls(**args)
  File "mmtracking\mmtrack\models\vid\selsa.py", line 23, in __init__
    self.detector = build_detector(detector)
  File "mmtracking\mmtrack\models\builder.py", line 60, in build_detector
    return build(cfg, DETECTORS)
  File "mmtracking\mmtrack\models\builder.py", line 34, in build
    return build_from_cfg(cfg, registry, default_args)
  File "C:\Users\FCA\Miniconda3\envs\mmtracking\lib\site-packages\mmcv\utils\registry.py", line 171, in build_from_cfg
    return obj_cls(**args)
TypeError: __init__() got an unexpected keyword argument 'roi_head'

# python demo/demo_mot.py  configs/mot/deepsort/deepsort_faster-rcnn_fpn_4e_mot17-public-half.py --input demo/demo.mp4 --output output.mkv  --checkpoint https://download.openmmlab.com/mmtracking/mot/faster_rcnn/faster-rcnn_r50_fpn_4e_mot17-half-64ee2ed4.pth  --device cpu 
No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2021-04-24 18:49:27,740 - mmtrack - INFO - load detector from: https://download.openmmlab.com/mmtracking/mot/faster_rcnn/faster-rcnn_r50_fpn_4e_mot17-half-64ee2ed4.pth
2021-04-24 18:49:27,740 - mmtrack - INFO - Use load_from_http loader
2021-04-24 18:49:27,917 - mmtrack - INFO - load reid from: https://download.openmmlab.com/mmtracking/mot/reid/tracktor_reid_r50_iter25245-a452f51f.pth
2021-04-24 18:49:27,925 - mmtrack - INFO - Use load_from_http loader
Use load_from_http loader
The model and loaded state dict do not match exactly

unexpected key in source state_dict: backbone.conv1.weight, backbone.bn1.weight, backbone.bn1.bias, backbone.bn1.running_mean, backbone.bn1.running_var, backbone.bn1.num_batches_tracked, backbone.layer1.0.conv1.weight, backbone.layer1.0.bn1.weight, backbone.layer1.0.bn1.bias, backbone.layer1.0.bn1.running_mean, backbone.layer1.0.bn1.running_var, backbone.layer1.0.bn1.num_batches_tracked, backbone.layer1.0.conv2.weight, backbone.layer1.0.bn2.weight, backbone.layer1.0.bn2.bias, backbone.layer1.0.bn2.running_mean, backbone.layer1.0.bn2.running_var, backbone.layer1.0.bn2.num_batches_tracked, backbone.layer1.0.conv3.weight, backbone.layer1.0.bn3.weight, backbone.layer1.0.bn3.bias, backbone.layer1.0.bn3.running_mean, backbone.layer1.0.bn3.running_var, backbone.layer1.0.bn3.num_batches_tracked, backbone.layer1.0.downsample.0.weight, backbone.layer1.0.downsample.1.weight, backbone.layer1.0.downsample.1.bias, backbone.layer1.0.downsample.1.running_mean, 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missing keys in source state_dict: detector.backbone.conv1.weight, detector.backbone.bn1.weight, detector.backbone.bn1.bias, detector.backbone.bn1.running_mean, detector.backbone.bn1.running_var, detector.backbone.layer1.0.conv1.weight, detector.backbone.layer1.0.bn1.weight, detector.backbone.layer1.0.bn1.bias, detector.backbone.layer1.0.bn1.running_mean, detector.backbone.layer1.0.bn1.running_var, detector.backbone.layer1.0.conv2.weight, detector.backbone.layer1.0.bn2.weight, detector.backbone.layer1.0.bn2.bias, detector.backbone.layer1.0.bn2.running_mean, detector.backbone.layer1.0.bn2.running_var, detector.backbone.layer1.0.conv3.weight, detector.backbone.layer1.0.bn3.weight, detector.backbone.layer1.0.bn3.bias, detector.backbone.layer1.0.bn3.running_mean, detector.backbone.layer1.0.bn3.running_var, detector.backbone.layer1.0.downsample.0.weight, detector.backbone.layer1.0.downsample.1.weight, detector.backbone.layer1.0.downsample.1.bias, 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reid.backbone.layer4.1.bn3.weight, reid.backbone.layer4.1.bn3.bias, reid.backbone.layer4.1.bn3.running_mean, reid.backbone.layer4.1.bn3.running_var, reid.backbone.layer4.2.conv1.weight, reid.backbone.layer4.2.bn1.weight, reid.backbone.layer4.2.bn1.bias, reid.backbone.layer4.2.bn1.running_mean, reid.backbone.layer4.2.bn1.running_var, reid.backbone.layer4.2.conv2.weight, reid.backbone.layer4.2.bn2.weight, reid.backbone.layer4.2.bn2.bias, reid.backbone.layer4.2.bn2.running_mean, reid.backbone.layer4.2.bn2.running_var, reid.backbone.layer4.2.conv3.weight, reid.backbone.layer4.2.bn3.weight, reid.backbone.layer4.2.bn3.bias, reid.backbone.layer4.2.bn3.running_mean, reid.backbone.layer4.2.bn3.running_var, reid.head.fcs.0.fc.weight, reid.head.fcs.0.fc.bias, reid.head.fcs.0.bn.weight, reid.head.fcs.0.bn.bias, reid.head.fcs.0.bn.running_mean, reid.head.fcs.0.bn.running_var, reid.head.fc_out.weight, reid.head.fc_out.bias

[                                                  ] 0/8, elapsed: 0s, ETA:Traceback (most recent call last):
  File "demo/demo_mot.py", line 94, in <module>
    main()
  File "demo/demo_mot.py", line 69, in main
    result = inference_mot(model, img, frame_id=i)
  File "/mmtracking/mmtrack/apis/inference.py", line 78, in inference_mot
    data = test_pipeline(data)
  File "/opt/conda/lib/python3.7/site-packages/mmdet/datasets/pipelines/compose.py", line 40, in __call__
    data = t(data)
  File "/mmtracking/mmtrack/datasets/pipelines/loading.py", line 100, in __call__
    detections = results['detections']
KeyError: 'detections'

# python demo/demo_vid.py configs/vid/dff/dff_faster_rcnn_r101_dc5_1x_imagenetvid.py --checkpoint https://download.openmmlab.com/mmtracking/vid/dff/dff_faster_rcnn_r101_dc5_1x_imagenetvid/dff_faster_rcnn_r101_dc5_1x_imagenetvid_20201218_172720-ad732e17.pth  --input demo/demo.mp4 --device cpu --output output.mp4
No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2021-04-24 19:32:39,179 - mmtrack - INFO - load motion from: https://download.openmmlab.com/mmtracking/pretrained_weights/flownet_simple.pth
2021-04-24 19:32:39,179 - mmtrack - INFO - Use load_from_http loader
Use load_from_http loader
/opt/conda/lib/python3.7/site-packages/mmdet/models/dense_heads/rpn_head.py:192: UserWarning: In rpn_proposal or test_cfg, nms_thr has been moved to a dict named nms as iou_threshold, max_num has been renamed as max_per_img, name of original arguments and the way to specify iou_threshold of NMS will be deprecated.
  'In rpn_proposal or test_cfg, '
/opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:3000: UserWarning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details. 
  warnings.warn("The default behavior for interpolate/upsample with float scale_factor changed "

    type='Tracktor',
    pretrains=dict(
        detector=  # noqa: E251
        'https://download.openmmlab.com/mmtracking/mot/faster_rcnn/faster-rcnn_r50_fpn_4e_mot17-half-64ee2ed4.pth', 
...
                clip_border=False), num_classes=1))),

    type='Tracktor',
    pretrains=dict(
        detector=  # noqa: E251
        '/home/palm/rcnn_1/epoch_48.pth', 
...
                clip_border=False), num_classes=3))),

sys.platform: linux
Python: 3.6.9 |Anaconda, Inc.| (default, Jul 30 2019, 19:07:31) [GCC 7.3.0]
CUDA available: True
CUDA_HOME: /usr/local/cuda
NVCC: Build cuda_11.0_bu.TC445_37.28845127_0
GPU 0: GeForce GTX 1080
GCC: gcc (Ubuntu 7.5.0-3ubuntu1~18.04) 7.5.0
PyTorch: 1.7.1+cu101
PyTorch compiling details: PyTorch built with:
  - GCC 7.3
  - C++ Version: 201402
  - Intel(R) Math Kernel Library Version 2020.0.0 Product Build 20191122 for Intel(R) 64 architecture applications
  - Intel(R) MKL-DNN v1.6.0 (Git Hash 5ef631a030a6f73131c77892041042805a06064f)
  - OpenMP 201511 (a.k.a. OpenMP 4.5)
  - NNPACK is enabled
  - CPU capability usage: AVX2
  - CUDA Runtime 10.1
  - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75
  - CuDNN 7.6.3
  - Magma 2.5.2
  - Build settings: BLAS=MKL, BUILD_TYPE=Release, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DUSE_VULKAN_WRAPPER -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare -Wno-unused-parameter -Wno-unused-variable -Wno-unused-function -Wno-unused-result -Wno-unused-local-typedefs -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, USE_CUDA=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, 

TorchVision: 0.8.2+cu101
OpenCV: 4.4.0
MMCV: 1.2.6
mmtrack: 0.5.0

  File "/home/palm/PycharmProjects/mmtracking/demo.py", line 71, in <module>
    main()
  File "/home/palm/PycharmProjects/mmtracking/demo.py", line 57, in main
    result = inference_mot(model, img, frame_id=i//5)
  File "/home/palm/PycharmProjects/mmtracking/mmtrack/apis/inference.py", line 94, in inference_mot
    result = model(return_loss=False, rescale=True, **data)
  File "/home/palm/miniconda3/lib/python3.6/site-packages/torch/nn/modules/module.py", line 727, in _call_impl
    result = self.forward(*input, **kwargs)
  File "/home/palm/miniconda3/lib/python3.6/site-packages/mmcv/runner/fp16_utils.py", line 84, in new_func
    return old_func(*args, **kwargs)
  File "/home/palm/PycharmProjects/mmtracking/mmtrack/models/mot/base.py", line 154, in forward
    return self.forward_test(img, img_metas, **kwargs)
  File "/home/palm/PycharmProjects/mmtracking/mmtrack/models/mot/base.py", line 131, in forward_test
    return self.simple_test(imgs[0], img_metas[0], **kwargs)
  File "/home/palm/PycharmProjects/mmtracking/mmtrack/models/mot/tracktor.py", line 148, in simple_test
    **kwargs)
  File "/home/palm/PycharmProjects/mmtracking/mmtrack/models/mot/trackers/tracktor_tracker.py", line 168, in track
    feats, img_metas, model.detector, frame_id, rescale)
  File "/home/palm/PycharmProjects/mmtracking/mmtrack/models/mot/trackers/tracktor_tracker.py", line 96, in regress_tracks
    ids = ids[valid_inds]
IndexError: index 3 is out of bounds for dimension 0 with size 3

IndexError: Caught IndexError in DataLoader worker process 0. 

 python demo/demo_mot.py configs/mot/deepsort/sort_faster-rcnn_fpn_4e_mot17-private.py --input demo/demo.mp4 --output mot.mp4 --backend 'plt'

2021-01-16 23:01:32,177 - mmtrack - INFO - load detector from: https://download.openmmlab.com/mmtracking/mot/faster_rcnn/faster-rcnn_r50_fpn_4e_mot17-ffa52ae7.pth
[                                                  ] 0/8, elapsed: 0s, ETA:/home/n504/hubw/code/mmtracking/mmtrack/core/utils/visualization.py:163: UserWarning: Matplotlib is currently using agg, which is a non-GUI backend, so cannot show the figure.
  plt.show()
[>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>] 8/8, 1.5 task/s, elapsed: 5s, ETA:     0smaking the output video at mot.mp4 with a FPS of 3
OpenCV: FFMPEG: tag 0x44495658/'XVID' is not supported with codec id 12 and format 'mp4 / MP4 (MPEG-4 Part 14)'
OpenCV: FFMPEG: fallback to use tag 0x7634706d/'mp4v'
[>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>] 8/8, 35.4 task/s, elapsed: 0s, ETA:     0s

Configured with: --prefix=/Applications/Xcode.app/Contents/Developer/usr --with-gxx-include-dir=/Applications/Xcode.app/Contents/Developer/Platforms/MacOSX.platform/Developer/SDKs/MacOSX.sdk/usr/include/c++/4.2.1
sys.platform: darwin
Python: 3.7.4 (default, Aug 13 2019, 15:17:50) [Clang 4.0.1 (tags/RELEASE_401/final)]
CUDA available: False
GCC: Apple clang version 12.0.0 (clang-1200.0.32.28)
PyTorch: 1.4.0
PyTorch compiling details: PyTorch built with:
  - GCC 4.2
  - clang 9.0.0
  - Intel(R) Math Kernel Library Version 2019.0.5 Product Build 20190808 for Intel(R) 64 architecture applications
  - Intel(R) MKL-DNN v0.21.1 (Git Hash 7d2fd500bc78936d1d648ca713b901012f470dbc)
  - NNPACK is enabled
  - Build settings: BLAS=MKL, BUILD_NAMEDTENSOR=OFF, BUILD_TYPE=Release, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -Wno-deprecated-declarations -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -O2 -fPIC -Wno-narrowing -Wall -Wextra -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare -Wno-unused-parameter -Wno-unused-variable -Wno-unused-function -Wno-unused-result -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -Wno-invalid-partial-specialization -Wno-typedef-redefinition -Wno-unknown-warning-option -Wno-unused-private-field -Wno-inconsistent-missing-override -Wno-aligned-allocation-unavailable -Wno-c++14-extensions -Wno-constexpr-not-const -Wno-missing-braces -Qunused-arguments -fcolor-diagnostics -faligned-new -fno-math-errno -fno-trapping-math -Wno-unused-private-field -Wno-missing-braces -Wno-c++14-extensions -Wno-constexpr-not-const, DISABLE_NUMA=1, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, USE_CUDA=OFF, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=OFF, USE_NNPACK=ON, USE_OPENMP=OFF, USE_STATIC_DISPATCH=OFF, 

TorchVision: 0.5.0
OpenCV: 4.2.0
MMCV: 1.2.1
mmtrack: 0.5.0

Downloading: "https://download.openmmlab.com/mmtracking/mot/reid/tracktor_reid_r50_iter25245-a452f51f.pth" to /Users/apple/.cache/torch/checkpoints/tracktor_reid_r50_iter25245-a452f51f.pth
100%|██████████| 98.4M/98.4M [00:11<00:00, 8.75MB/s]
[>>>>                               ] 1/8, 0.1 task/s, elapsed: 9s, ETA:    60sTraceback (most recent call last):
  File "/Users/apple/Desktop/github/mmtracking/demo/demo_mot.py", line 88, in <module>
    main()
  File "/Users/apple/Desktop/github/mmtracking/demo/demo_mot.py", line 64, in main
    result = inference_mot(model, img, frame_id=i)
  File "/Users/apple/Desktop/github/mmtracking/mmtrack/apis/inference.py", line 92, in inference_mot
    result = model(return_loss=False, rescale=True, **data)
  File "/Users/apple/anaconda3/lib/python3.7/site-packages/torch/nn/modules/module.py", line 532, in __call__
    result = self.forward(*input, **kwargs)
  File "/Users/apple/anaconda3/lib/python3.7/site-packages/mmcv/runner/fp16_utils.py", line 84, in new_func
    return old_func(*args, **kwargs)
  File "/Users/apple/Desktop/github/mmtracking/mmtrack/models/mot/base.py", line 154, in forward
    return self.forward_test(img, img_metas, **kwargs)
  File "/Users/apple/Desktop/github/mmtracking/mmtrack/models/mot/base.py", line 131, in forward_test
    return self.simple_test(imgs[0], img_metas[0], **kwargs)
  File "/Users/apple/Desktop/github/mmtracking/mmtrack/models/mot/tracktor.py", line 139, in simple_test
    **kwargs)
  File "/Users/apple/Desktop/github/mmtracking/mmtrack/models/mot/trackers/tracktor_tracker.py", line 146, in track
    feats, img_metas, model.detector, frame_id, rescale)
  File "/Users/apple/Desktop/github/mmtracking/mmtrack/models/mot/trackers/tracktor_tracker.py", line 72, in regress_tracks
    return_inds=True)
TypeError: multiclass_nms() got an unexpected keyword argument 'return_inds'

# python demo/demo_sot.py configs/sot/siamese_rpn/siamese_rpn_r50_1x_lasot.py  --input demo/demo.mp4 --device cpu --output output.mp4
No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2021-04-24 19:26:56,652 - mmtrack - INFO - load backbone from: https://download.openmmlab.com/mmtracking/pretrained_weights/sot_resnet50.model
2021-04-24 19:26:56,652 - mmtrack - INFO - Use load_from_http loader
Warning: The model doesn't have classes
Select a ROI and then press SPACE or ENTER button!
Cancel the selection process by pressing c button!
qt.qpa.xcb: could not connect to display 
qt.qpa.plugin: Could not load the Qt platform plugin "xcb" in "/opt/conda/lib/python3.7/site-packages/cv2/qt/plugins" even though it was found.
This application failed to start because no Qt platform plugin could be initialized. Reinstalling the application may fix this problem.

Available platform plugins are: xcb.

Aborted (core dumped)

tools/dist_test.sh configs/mot/tracktor/tracktor_faster-rcnn_r50_fpn_4e_mot17-public.py 8 --eval track

Traceback (most recent call last):
  File "tools/test.py", line 171, in <module>
Traceback (most recent call last):
  File "tools/test.py", line 171, in <module>
    main()
  File "tools/test.py", line 151, in main
    args.gpu_collect)
  File "/home/miruware/projects/mmtracking/mmtrack/apis/test.py", line 82, in multi_gpu_test
    result = model(return_loss=False, rescale=True, **data)
  File "/home/miruware/anaconda3/envs/prj-vod-mmdet/lib/python3.7/site-packages/torch/nn/modules/module.py", line 727, in _call_impl
    main()
  File "tools/test.py", line 151, in main
    args.gpu_collect)
  File "/home/miruware/projects/mmtracking/mmtrack/apis/test.py", line 82, in multi_gpu_test
    result = self.forward(*input, **kwargs)
  File "/home/miruware/anaconda3/envs/prj-vod-mmdet/lib/python3.7/site-packages/torch/nn/parallel/distributed.py", line 619, in forward
    result = model(return_loss=False, rescale=True, **data)    output = self.module(*inputs[0], **kwargs[0])

  File "/home/miruware/anaconda3/envs/prj-vod-mmdet/lib/python3.7/site-packages/torch/nn/modules/module.py", line 727, in _call_impl
  File "/home/miruware/anaconda3/envs/prj-vod-mmdet/lib/python3.7/site-packages/torch/nn/modules/module.py", line 727, in _call_impl
    result = self.forward(*input, **kwargs)
  File "/home/miruware/anaconda3/envs/prj-vod-mmdet/lib/python3.7/site-packages/mmcv/runner/fp16_utils.py", line 84, in new_func
        result = self.forward(*input, **kwargs)return old_func(*args, **kwargs)

  File "/home/miruware/projects/mmtracking/mmtrack/models/mot/base.py", line 154, in forward
  File "/home/miruware/anaconda3/envs/prj-vod-mmdet/lib/python3.7/site-packages/torch/nn/parallel/distributed.py", line 619, in forward
    return self.forward_test(img, img_metas, **kwargs)
  File "/home/miruware/projects/mmtracking/mmtrack/models/mot/base.py", line 131, in forward_test
    return self.simple_test(imgs[0], img_metas[0], **kwargs)
  File "/home/miruware/projects/mmtracking/mmtrack/models/mot/tracktor.py", line 119, in simple_test
    rescale=rescale)
      File "/home/miruware/projects/mmdetection/mmdet/models/roi_heads/test_mixins.py", line 113, in simple_test_bboxes
output = self.module(*inputs[0], **kwargs[0])
  File "/home/miruware/anaconda3/envs/prj-vod-mmdet/lib/python3.7/site-packages/torch/nn/modules/module.py", line 727, in _call_impl
    rois = rois.reshape(batch_size, num_proposals_per_img, -1)
RuntimeError: cannot reshape tensor of 0 elements into shape [1, 0, -1] because the unspecified dimension size -1 can be any value and is ambiguous
    result = self.forward(*input, **kwargs)
  File "/home/miruware/anaconda3/envs/prj-vod-mmdet/lib/python3.7/site-packages/mmcv/runner/fp16_utils.py", line 84, in new_func
    return old_func(*args, **kwargs)
  File "/home/miruware/projects/mmtracking/mmtrack/models/mot/base.py", line 154, in forward
    return self.forward_test(img, img_metas, **kwargs)
  File "/home/miruware/projects/mmtracking/mmtrack/models/mot/base.py", line 131, in forward_test
    return self.simple_test(imgs[0], img_metas[0], **kwargs)
  File "/home/miruware/projects/mmtracking/mmtrack/models/mot/tracktor.py", line 119, in simple_test
    rescale=rescale)
  File "/home/miruware/projects/mmdetection/mmdet/models/roi_heads/test_mixins.py", line 113, in simple_test_bboxes
    rois = rois.reshape(batch_size, num_proposals_per_img, -1)
RuntimeError: cannot reshape tensor of 0 elements into shape [1, 0, -1] because the unspecified dimension size -1 can be any value and is ambiguous