CenterTrack
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xingyizhou
Simultaneous object detection and tracking using center points.
I get the results of run test.py for an bbox, it likes this: {'score': 0.5568161010742188, 'class': 1, 'ct': [1038.8736572265625, 510.8898010253906], 'bbox': [989.7716674804688, 479.7884216308594, 1078.92578125, 537.468017578125], 'dep': [41.123046875], 'dim': [1.5645606517791748, 1.9315428733825684,...
How does the mot17_fulltrain in centertrack test on the test set
TLDR: This fix leads to better performance in rotation prediction. First of all, thank you very much for publicating your work. It was super helpful for my work as well....
Hi, I'm using Windows 10 with Anaconda Python 3.6, CUDA 10.0, and PyTorch v1.0. I followed the installation steps and when I try to run the make file in DCNv2...
when i run the commend as follows： `python demo.py tracking,ddd --load_model ../models/nuScenes_3Dtracking.pth --dataset nuscenes --pre_hm --track_thresh 0.1 --demo ../videos/nuscenes_mini.mp4 --test_focal_length 633` i met this ` D:\anaconda\envs\DCNv2\lib\site-packages\sklearn\utils\linear_assignment_.py:22: FutureWarning: The linear_assignment_ module...
1. I can run the project on the terminal（python test.py tracking --exp_id mot17_half --dataset mot --dataset_version 17halfval --pre_hm --ltrb_amodal --track_thresh 0.4 --pre_thresh 0.5 --load_model ../models/mot17_half.pth）, but I report the following...
This pull request addresses compatibility issues between newer Cython versions and pycocotools. Specifying an older, compatible Cython version ensures successful COCOAPI installation. Refer to the COCOAPI issue [#141](https://github.com/cocodataset/cocoapi/issues/141) for more...
My torch version is 1.0.0 and torchvision version is 0.2.1. When I run demo.py by using the command: python demo.py tracking,ddd --load_model ../models/nuScenes_3Dtracking.pth --dataset nuscenes --pre_hm --track_thresh 0.1 --demo ../videos/nuscenes_mini.mp4...
running build running build_ext building '_ext' extension creating build creating build/temp.linux-x86_64-3.6 creating build/temp.linux-x86_64-3.6/home1 creating build/temp.linux-x86_64-3.6/home1/linazhan creating build/temp.linux-x86_64-3.6/home1/linazhan/CenterTrack creating build/temp.linux-x86_64-3.6/home1/linazhan/CenterTrack/src creating build/temp.linux-x86_64-3.6/home1/linazhan/CenterTrack/src/lib creating build/temp.linux-x86_64-3.6/home1/linazhan/CenterTrack/src/lib/model creating build/temp.linux-x86_64-3.6/home1/linazhan/CenterTrack/src/lib/model/networks creating build/temp.linux-x86_64-3.6/home1/linazhan/CenterTrack/src/lib/model/networks/DCNv2 creating build/temp.linux-x86_64-3.6/home1/linazhan/CenterTrack/src/lib/model/networks/DCNv2/src creating...
ImportError: CenterTrack/src/lib/model/networks/DCNv2/_ext.cpython-36m-x86_64-linux-gnu.so: undefined symbol: _ZN3c105ErrorC1ENS_14SourceLocationERKSs use the same environment: conda install pytorch==1.1.0 torchvision==0.3.0 cudatoolkit=10.0 -c pytorch I also tried other environment such as torch=1.4, but it can not compile successfully
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Simultaneous object detection and tracking using center points.