Comments (1)
Hi Everyone, Who's trying to install mmtracking.
It's really complicated when we install it. I stuck with it for 1 week and then found out one easier way to install it.
I'll share with you and hope it helps you guys.
Mmtracking
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Pull this image from Docker Hub:
docker pull uestc417/tracking
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Make container from the above image file:
docker run -it --name an_gpu_2_mmtracking --shm-size=16GB --ipc=host -v /home/user/storage/d_ssd/an:/an --gpus '"device=2"' uestc417/tracking:latest
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Attach into the above container, git mmtracking by this command:
**git clone https://github.com/open-mmlab/mmtracking.git**
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Move into mmtracking folder and verification:
cd mmtracking
install requirements:
pip install -r requirements/build.txt
pip install -v -e . # or "python [setup.py](http://setup.py/) develop"python demo/demo_mot_vis.py configs/mot/deepsort/sort_faster-rcnn_fpn_4e_mot17-private.py --input demo/demo.mp4 --output mot.mp4
If use MOTChallenge evaluation plz install extra dependencies follow:
pip install git+https://github.com/JonathonLuiten/TrackEval.git
Got some errors?
- Upgrade pip conmand: /root/anaconda3/bin/python -m pip install --upgrade pip
- Upgrade numpy: pip install --upgrade numpy
- Upgrade pandas: pip install --upgrade pandas
If the error shown about “QT”, “xcb” problems, try some solutions follows:
- Use opencv headless instead of opencv
pip uninstall opencv-python pip install opencv-python-headless
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Install this dependencies:
apt-get install '^libxcb.*-dev' libx11-xcb-dev libglu1-mesa-dev libxrender-dev libxi-dev libxkbcommon-dev libxkbcommon-x11-dev
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Turn off display function:
export DISPLAY=:0
export QT_QPA_PLATFORM=offscreen
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Done!
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Related Issues (20)
- VisDrone DET and VID COCO annotation format
- 您好,您的mmtrack/datasets/pipelines/transforms.py中的SeqExpand应该是写错了,得到的序列中每个图片的增强都不同,在vid算法训练时,时序信息将会丢失。 HOT 2
- mmtracking and BDD100Kdataset
- Multiple static targets in MixFormer
- Poor training results on custom data with ''Temporal ROI Align for Video Object Recognition'' ?
- 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
- 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 1
- 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."
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