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Toolkits for the synthetic multiview pedestrian detection dataset, MultiviewX. For XJTLU Year4 FYP

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An end-to-end tracking framework via multi-view and temporal feature aggregation [paper]

@article{YANG2024104203,
title = {An end-to-end tracking framework via multi-view and temporal feature aggregation},
journal = {Computer Vision and Image Understanding},
volume = {249},
pages = {104203},
year = {2024},
issn = {1077-3142},
doi = {https://doi.org/10.1016/j.cviu.2024.104203},
author = {Yihan Yang and Ming Xu and Jason F. Ralph and Yuchen Ling and Xiaonan Pan},
}

More information:Notes of MultiviewX_Perception

Args

MultiviewX_Perception可以接受命令行参数,从而用户可以快速高效地产生数据集。当未接收到相关参数时候,不会启用相关功能。

-a :Annotate and show the bbox on the first frame of each camera or not.

-s :Save the bbox on the first frame of each camera or not.

-k :Keep the remains of Perception dataset or not.

-f :Force calibrate and generate POM, regardless of perception.

-p n: Provide preview for the front n frames. ex. -p 5 will provide 5 frames to preview

-v :Generate Overlap view for the dataset

-view path :Generate Overlap view for the specified dataset, there should be folder calibrations in the given path. ex. -view D:\Wildtrack

Camera 6

左图为本工具对 Wildtrack 的结果,右图(有一定变形)为参考

cam1_frames

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Toolkits for the synthetic multiview pedestrian detection dataset, MultiviewX. For XJTLU Year4 FYP

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