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Deep Learning to Describe Clothing by Semantic Attributes

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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.

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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.

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