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OpenMMLab Video Perception Toolbox. It supports Video Object Detection (VID), Multiple Object Tracking (MOT), Single Object Tracking (SOT), Video Instance Segmentation (VIS) with a unified framework.

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I use my own dataset to train configs/vid/temporal_roi_align/selsa_troialign_faster_rcnn_r101_dc5_7e_imagenetvid.py After training , I want to output the prediction bbox. I am confused about how to read the results.pkl correctly and how...

Hello, I have a question. How can I use DeepSort apart from executing tools/test.py? For example mmdetector gives a checkpoint that can be converted to TensorRT. Asking because [here](https://mmtracking.readthedocs.io/en/latest/useful_tools_scripts.html#model-serving) it...

Hello MMTracking team, I want to use some datasets in video text spots to train for the video object detection task. Is it possible to do this?

Hey, The pretrained checkpoints link for the ByteTrack MOT20 model is missing. Could you please upload it? Thanks, Eliahu

**Describe the bug** I use the SORT algorithm and run the following script to test MOT17 dataset. `./tools/dist_test.sh ./configs/mot/deepsort/sort_faster-rcnn_fpn_4e_mot17-private.py 1 --eval track --out /remote-home/******/Code/mmtracking/outputs/mytestmot17-sort.pkl` My machine outputs correctly. However, when...

The default configs settings could be work in the VID task((detector:faster_rcnn_dc5) , but the same error occurred when replacing other detectors without any changes such as retinanet/faster_rcnn_fpn(in _base_/models:) File "/home/ubuntu/anaconda3/envs/mmtracking/lib/python3.7/site-packages/torch/nn/modules/module.py",...

When I try running the Tracktor using a file modified from `configs/mot/tracktor/tracktor_faster-rcnn_r50_fpn_4e_mot17-private-half.py` by changing weights and `num_class` and run using a copy of `demo_mot.py` ``` type='Tracktor', pretrains=dict( detector= # noqa:...

`ImportError: DLL load failed while importing _ext: 找不到指定的程序。` **!!!!! Attention Please!!** **I solved the problem after I uninstalled mmcv-full by both pip and mim, and reinstall mmcv-full by `pip install...

例如 python demo/demo_mot_vis.py \ configs/mot/bytetrack/bytetrack_yolox_x_crowdhuman_mot17-private-half.py \ --checkpoint https://download.openmmlab.com/mmtracking/mot/bytetrack/bytetrack_yolox_x/bytetrack_yolox_x_crowdhuman_mot17-private-half_20211218_205500-1985c9f0.pth \ --input demo/test_video_3.mp4 \ --output outputs/output__MOT.mp4 这个命令行可以加一个--verbose参数,用户来指定要不要输出底下一大堆信息 再加一个--track参数,用户来指定要不要绘制框中心点的轨迹