/apparel-styles

Deep Learning to Describe Clothing by Semantic Attributes

Primary LanguageJupyter NotebookMIT LicenseMIT

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

Installation

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

cd <repo>  # cd apparel-styles

# Install Packages
python env/create_env.py
source activate env/venv  # Windows users: activate env/venv
python env/install_packages.py

# Build the Model
python ml_src/build_models.py

# Run the App
python run_server.py

Test App

Open Browser: http://localhost:9000

Dataset:

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

The End.

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