Comments (4)
Hello, as long as you can run the detector on Android, you can certainly implement the tracking algorithm based on the detection results. The specific deployment can be achieved through algorithms such as C++. You can refer to code repositories like this one: https://github.com/yaoyi30/ByteTrack_ncnn_Android
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Hello, as long as you can run the detector on Android, you can certainly implement the tracking algorithm based on the detection results. The specific deployment can be achieved through algorithms such as C++. You can refer to code repositories like this one: https://github.com/yaoyi30/ByteTrack_ncnn_Android
Thank you for the reply. So it means that I need to manually convert the python code in this repo to C++, right? And the main code that need to be converted is located in trackers/hybrid_sort_tracker/, hybrid_sort.py and hybrid_sort_reid.py, right?
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Yes, there is currently no ready-made C++ version of HybridSORT. The main code that needs to be converted is located in trackers/hybrid_sort_tracker/.
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Thank you very much for the answer.
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Related Issues (20)
- The problem still exists. How long will it take for this bug to be fixed? HOT 1
- What is the running speed of the method described in this article? Can it be deployed on Jetson NX hardware for real-time tracking? What might be the final FPS (Frames Per Second)?thanks HOT 1
- The parameters are not used? HOT 2
- About the use of detectors HOT 4
- Some questions about paper and code HOT 2
- Retrieving lost tracklet information HOT 2
- What does train/val/test_segmap mean? HOT 1
- Adjusting max_age parameter HOT 2
- Question about the publication of the paper HOT 3
- demo_track HOT 1
- 关于用自己的数据集训练detector的问题 HOT 2
- Weighted HMIoU HOT 1
- segmentation fault (core dumped) HOT 2
- MOT20-test HOT 8
- Skip loading parameter 'heads.veight' to the model HOT 1
- How can we use official YOLOX as the detector? HOT 1
- self-trained detector HOT 1
- 为什么ReID的提升效果这么好? HOT 2
- hybrid_sort.py HOT 2
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