How to apply cross dataset validation on custom torchreid model

[FatimaZulfiqar]

Hi. I have a custom person reid model that is currently not available in this torchreid library. I want to perform cross dataset validation on that custom-designed model. The model is originally trained on msmt17 dataset and I have its checkpoint saved. I want to evaluate this model on market1501 or dukemtmc. How can I do that? Can anybody please guide me?

[KaiyangZhou]

https://github.com/KaiyangZhou/deep-person-reid#cross-domain-setting

[FatimaZulfiqar]

Thank you for your response. yes, I did that but the issue is that the person Reid model that I have is not present in this GitHub repository. I have its weights saved in pytorch format. I want to load the model weights and then perform cross dataset validation

[KaiyangZhou]

To use your own model, you can simply put your model in the initialization of the engine (see https://github.com/KaiyangZhou/deep-person-reid#get-started-30-seconds-to-torchreid)

[KaiyangZhou]

If you are referring to model weights, simply load the weights to the specific model before giving it to the engine

see https://github.com/KaiyangZhou/deep-person-reid/blob/master/scripts/main.py#L168