mmtracking
mmtracking copied to clipboard
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 am experimenting with MMTracking and I am currently processing the MOT20 dataset(full version) Although I have been able to create the annotations and pickle files using ``` python ./tools/convert_datasets/mot/mot2coco.py...
Ive got a video labelled as MOT which looks something like gt.txt: `1,1,1126.93,422.16,85.66999999999985,163.32,1,1,1.0 2,1,1127.48,421.92,85.67000000000007,163.32,1,1,1.0 3,1,1128.03,421.68,85.67000000000007,163.32,1,1,1.0 4,1,1128.58,421.44,85.67000000000007,163.32,1,1,1.0 5,1,1129.13,421.2,85.66999999999985,163.32,1,1,1.0 6,1,1129.68,420.96,85.66999999999985,163.32,1,1,1.0 . . . ` Its using custom classes In https://github.com/open-mmlab/mmtracking/blob/master/tools/convert_datasets/mot/mot2coco.py it mentions...
**Describe the bug** After training for 1 epoch on my **custom datasets** with **QDTrack**, it started to evaluate CLEAR MOT results. But an error occured `"TypeError: unsupported operand type(s) for...
**Describe the feature** StrongSORT MOT algorithm **Motivation** This algorithm is ranked 1st on paperswithcode for IDF1 with multiple datasets including MOT20. **Related resources** https://github.com/dyhBUPT/StrongSORT https://paperswithcode.com/paper/strongsort-make-deepsort-great-again
Thanks for your error report and we appreciate it a lot. **Checklist** 1. I have searched related issues but cannot get the expected help.yes the issue was raised in mmdetection...
English: When I want to use the mmtracking tool to analsis MOT17 dataset MOT task error(/tools/analysis/mot/mot_error_visualize.py ) and this error occurred. Command: python ./tools/analysis/mot/mot_error_visualize.py **config_file_path** **pkl_result_path** --out-dir **out_dir_path** Error Info:...
Hi, When I use vfnet([VarifocalNet](https://github.com/open-mmlab/mmdetection/tree/master/configs/vfnet)) in mmdetection and bytetrack, I meet the following errors:  My config is as follows: ```python model = dict( detector=dict( type='VFNet', backbone=dict( type='ResNet', depth=101, num_stages=4,...
I have my own detector results, and I want use bytetrack to associate the tracks. How to do it?
If i use the dataset download from Codalab website. Need i change it **'../../_base_/datasets/youtube_vis.py'** to **'../../_base_/datasets/coco_instance.py'**?