A simple baseline implemented in PyTorch for pedestrian attribute recognition task, evaluating on Market-1501 and DukeMTMC-reID dataset.
Run a model to recognize attributes of people in images using specific datasets.
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Free · no card · unsubscribe anytimeA simple baseline implemented in PyTorch for pedestrian attribute recognition task, evaluating on Market-1501 and DukeMTMC-reID dataset.
Person-Attribute-Recognition-MarketDuke has 404 stars on GitHub. It has been forked 88 times. Person-Attribute-Recognition-MarketDuke is written mainly in Python. It has been in active development since 2018. Its main topics are attribute-recognition, cnn, computer-vision, pytorch.
A simple baseline implemented in PyTorch for pedestrian attribute recognition task, evaluating on Market-1501 and DukeMTMC-reID dataset.
Person-Attribute-Recognition-MarketDuke is an open-source project.
Yes. Person-Attribute-Recognition-MarketDuke is free and open source — you can use, modify and self-host it.
Person-Attribute-Recognition-MarketDuke is written mainly in Python.
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