Comments (3)
GT9505
commented on August 15, 2024
- Single object tracker cann't always track a target if the target moves fast or out of boundary. Therefore, If you don't modify the code and use the pretrained model provided by us, the tracking results are still poor. Maybe the model have some limitations.
- You can save
frameafter this line to a directory in order to get per frame results. - Yes. Taking the given frame in the middle of video as 'the first frame', you need run demo twice in the positive and negative directions.
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zlxhhh
commented on August 15, 2024
What puzzles me is that the selected target（the boy） in this video doesn't move fast and isn't out of boundary. Can you watch this video and analyze the specific reasons?@GT9505
thanks a lot
link：https://pan.baidu.com/s/1R4D5ZfSKiz_2lKh01jTsfA
Extraction code ：ej1x
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GT9505
commented on August 15, 2024
The SiameseRPN++ tracker works well. You can watch this video. By the way, did you download the trained model?
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Related Issues (20)
- Maybe a small bug about test progress bar in multi_gpu_test(). HOT 1
- AssertionError: MMCV==2.0.1 is used but incompatible. Please install mmcv>=1.3.17, <2.0.0. HOT 2
- ModuleNotFoundError: No module named 'mmtrack' HOT 1
- mmcv compatibility
- ModuleNotFoundError: No module named 'mmcv._ext' HOT 1
- Failing to build wheels of mmtrack HOT 1
- The MOT tutorial does not output label for detection results
- KeyError: 'categories'
- Using YOLOV8 in MMTracking
- -
- mmdet depends on mmcv>=2.0.0rc4 while mmtrack depends on mmcv <2.0.0 HOT 2
- Compatability Issue between MMCV and MMTracking HOT 1
- in _get_stream if device.type == "cpu": AttributeError: 'int' object has no attribute 'type' HOT 1
- Is this repo dead? HOT 2
- KeyError: "'track_bboxes' not found in the outputs."
- improve compatibility between mmcv and mmdection
- Multi-Object Tracking
- [Docs] A100算力加持！书生大模型实战营第3期全面升级，趣味闯关模式等你开启
- It failed to evaluate annotation type *bbox* for training fgfa_faste_rcnn_r101_dc5_1x_imagenetvid.
- mmtracking with torch >= 2.2.2 fails with error: RuntimeError: nms_impl: implementation for device cuda:0 not found.
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