mirror of https://github.com/JDAI-CV/fast-reid.git
27 lines
675 B
Markdown
27 lines
675 B
Markdown
# Person Attribute Recognition in FastReID
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## Training and Evaluation
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To train a model, run:
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```bash
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python3 projects/PartialReID/train_net.py --config-file <config.yaml> --num-gpus 1
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```
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For example, to train the attribute recognition network with ResNet-50 Backbone in PA100k dataset,
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one should execute:
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```bash
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python3 projects/attribute_recognition/train_net.py --config-file projects/attribute_recognition/configs/pa100.yml --num-gpus 4
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```
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## Results
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### PA100k
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| Method | mA | Accu | Prec | Recall | F1 |
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|:--:|:--:|:--:|:--:|:--:|:--:|
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| Strongbaseline | 77.76 | 77.59 | 88.38 | 84.35 | 86.32 |
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More datasets and test results are waiting to add, stay tune!
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