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Hi @frandoLin, indeed, a reid module produces a feature embeddings for each input image (multi part-based embeddings in the case of BPBreID). You can then use these embeddings to perform retrieval in a gallery or tracking in a video. You can have a look at the torchreid/models/bpbreid.py class to see the output dictionary that contains the embeddings. LEt me know if this answers you question.
I am bit confused about the final result by running the main.py when inferencing. Are they just a couple of feature embeddings for the input images?
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