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DeepFashion2 dataset: https://github.com/switchablenorms/DeepFashion2
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ModaNet dataset: https://github.com/eBay/modanet
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Faster RCNN and RetinaNet trained with maskrcnn-benchmark https://github.com/facebookresearch/maskrcnn-benchmark/. To use this models please follow INSTALL instruccions in that repo and do the setup in the root folder of this repo. Not neccessary to use pytorch-nightly, you can use pytorch 1.2 instead.
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YOLOv3 trained with Darknet framework: https://github.com/AlexeyAB/darknet
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To do inference use a pytorch implementation of YOLOv3: https://github.com/eriklindernoren/PyTorch-YOLOv3.
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Faster RCNN https://drive.google.com/file/d/1DrHTPsZEZt_7NeQKgFuMUR1lJLAeJgTS/view?usp=sharing
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RetinaNet https://drive.google.com/file/d/1T7wp3yL-tLEtL-a9BWGfychmKV3rWDc-/view?usp=sharing
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YOLOv3: https://drive.google.com/file/d/14-_ctjNtIWLhhLsqwYQzPUNCzh4U1coq/view?usp=sharing
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Faster RCNN https://drive.google.com/file/d/1pDLpXM7DtpaZTGdSjtxrmX-r9Tcs3wUX/view?usp=sharing
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RetinaNet https://drive.google.com/file/d/1WzW3wR7FoKFA9qgAGaKEUS4KEydmlwcp/view?usp=sharing
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YOLOv3 soon
- Use
new_image_demo.py
, and choose dataset, and model. - Use
YOLOv3Predictor
class for YOLOv3 andPredictor
class for Faster and RetinaNet.
- Update use of retrieval.# clothe-recognition
- galymzhan.jpeg
- gala.jpg