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ReIDProposal

This github includes the code for the proposals to the AI City Challenge 2020 and the Unsupervise Domain Adaptation for the AI City Challenge 2021 dataset in CIARP 2023 Conference.

Code

This porposal utilizes two open-source state-of-the-art works:

  1. Image-based module
  2. Clip-based module

Modified Codes

This includes modified codes to integrate the proposed system with the previous codes.

  1. code_imagepath: Change the codes from the Image-based module with the included in this folder.
  2. code_videopath: Change the codes from the Clip-based module with the included in this folder.

UDA

This technique is implemented just with the three models of the Image-based module and the CityFlow-ReID-v2. Include the codes of UDA folder to Image-based module.

Acknowledgment

This work has been supported by the Ministerio de Ciencia, Innovación y Universidades of the Spanish Government under projects TEC2017-88169-R (MobiNetVideo) and Harvesting Visual Data (HVD) (PID2021-125051OB-I00).

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  • Python 99.0%
  • MATLAB 1.0%