mmtracking
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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.
I want to know what's the different between mmdetection's resenet and mmtracking's resnet? If they are in the same, may i use the plugins in the resnet? 
大佬们都trakcing的微信交流群吗 或许可以建立一个!
Environment: {'sys.platform': 'win32', 'Python': '3.9.12 (main, Apr 4 2022, 05:22:27) [MSC v.1916 64 bit (AMD64)]', 'CUDA available': True, 'GPU 0': 'NVIDIA GeForce RTX 3060 Ti', 'CUDA_HOME': 'C:\\Program Files\\NVIDIA GPU Computing...
Add jupyter notebook tutorials link
I have successfully installed the mmtracking on my win11 computer. But I got these errors when I tried to run: 1. Running: `from mmcv import collect_env` `collect_env()` get: `raise io.UnsupportedOperation("fileno")`...
Hi! I met a problem. When I use **ATSS** as the detector of **QDTrack**, an error occured `ATSS "with_rpn=false"`. Does it mean that **QDTrack** only support detectors that use **RPN**...
Just like the question, I'd like to use **ATSS**/**RetineNet** rather than **Faster-RCNN** as the detector of **QDTrack** or **ByteTrack**. Is that all right?
When I'm running the training script using `PORT=29504 ./tools/dist_train.sh ./configs/mot/qdtrack/qdtrack_faster-rcnn_dcnv2_r50_fpn_4e_sat-airplane.py 1`, is it training both the detector and the tracker, or just the tracker? When I want to train a...
 when i train stark_st1 using config/sot/stark/stark_st1_r50_500e_got10k.py. why is Loss_iou always 0.0000?