Apparel Classification App

Predict multiple attributes for a given apparel. This app was developed during Insight AI Fellowship in March'2017. The app was developed using Python and uses PyTorch deep learning framework and Tordado web server.

Slides

Setup Environment on Local Machine

Env-dependencies

python=3.5.2
torch=0.3.1
numpy=1.14.5
tornado>=4.4
scikit-learn>=0.17
requests>=2.10
jupyter>=1.0

Train model & run inference service

git clone https://github.com/sampathweb/apparel-styles
# cd apparel-styles

# Build the Model
python ml_src/build_models.py

# Run the App
python run_server.py

Test App

Open Browser: http://localhost:port

Reference

H. Chen, A. Gallagher, B. Girod, "Describing Clothing by Semantic Attributes", European Conference on Computer Vision (ECCV), 2012.