Clothing detection using YOLOv3, RetinaNet, Faster RCNN in ModaNet and DeepFashion2 datasets.

Datasets

• DeepFashion2 dataset: https://github.com/switchablenorms/DeepFashion2

• ModaNet dataset: https://github.com/eBay/modanet

Models

• 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.

• YOLOv3 trained with Darknet framework: https://github.com/AlexeyAB/darknet

• To do inference use a pytorch implementation of YOLOv3: https://github.com/eriklindernoren/PyTorch-YOLOv3.

Weights

DeepFashion2

• Faster RCNN https://drive.google.com/file/d/1DrHTPsZEZt_7NeQKgFuMUR1lJLAeJgTS/view?usp=sharing

• RetinaNet https://drive.google.com/file/d/1T7wp3yL-tLEtL-a9BWGfychmKV3rWDc-/view?usp=sharing

• YOLOv3: https://drive.google.com/file/d/14-_ctjNtIWLhhLsqwYQzPUNCzh4U1coq/view?usp=sharing

ModaNet

• Faster RCNN https://drive.google.com/file/d/1pDLpXM7DtpaZTGdSjtxrmX-r9Tcs3wUX/view?usp=sharing

• RetinaNet https://drive.google.com/file/d/1WzW3wR7FoKFA9qgAGaKEUS4KEydmlwcp/view?usp=sharing

• YOLOv3 soon

Using

• Use new_image_demo.py , and choose dataset, and model.
• Use YOLOv3Predictor class for YOLOv3 and Predictor class for Faster and RetinaNet.

Coming soon

• Update use of retrieval.# clothe-recognition

Example

• galymzhan.jpeg

• gala.jpg