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PEFN

vehicle reidentification model

Project Structure

  • loss folder: Contains the loss function implementations.
  • utils folder: Includes utilities and functions required for model operation.
  • data file: Defines the data usage format, including data loading and preprocessing.
  • opt file: Specifies parameters for the model.

Training and Validation

To train or validate the model, please use train.py and modify the mode parameter in the opt folder as needed.

datas

Several related datasets require authorization from their authors before use.

Contact

If you have any questions, feel free to contact me for further discussion.

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vehicle reidentification model

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