Comments (1)
Hi, thanks for your interest. As the proposed method is a matching solver and does not need any training, all the datasets are used for testing only. The detector and ReID models are pre-trained models as mentioned in Section V.A.
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Related Issues (20)
- Code Release HOT 5
- May I ask for the result files on each experimental datasets?
- How to deal with sitting or lying persons?
- Two tracklets have no overlapping in the temporal space
- Would you please give detailed readme file covering the training procedure and how to organize the datasets
- Which version of python? HOT 1
- Please suggest cross camera tracking evaluation code HOT 3
- AssertionError: images number is not equal to trackers' number: 2983:2
- Unclear implementation of calculating similarity matrix S HOT 2
- The setting of the NLPR MCT dataset HOT 2
- Can you please provide calibration files for PETS09 and MCT dataset HOT 1
- Homography Matrix
- adding yolov5 detector and osnet for person reid as an option
- 无法运行您的源码tracking_multi_view.py HOT 1
- ModuleNotFoundError: No module named 'caffe'
- Can this code run successfully?
- 未解析的引用 'top_view_visual' HOT 1
- Caffe instalation
- Missing 'core'
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