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Short description

This is a fork from udacity's repo: https://github.com/udacity/pytorch_challenge.git, including the PyTorch Scholarship Challenge final project.

The goal of this project is the training of an image classifier to recognize different species of flowers, based on the 102 Category Flower Dataset (http://www.robots.ox.ac.uk/~vgg/data/flowers/102/index.html).

Download data

wget https://s3.amazonaws.com/content.udacity-data.com/courses/nd188/flower_data.zip

Extract the above zip under pytorch_challenge/ directory.

Install requirements

pip3 install -r requirements.txt

Train model

python3 train.py -i flower_data -e 30 -o model.pt --gpu

Make predictions

python3 predict.py -i flower_data/valid/1/image_06749.jpg -ckpt model.pt --gpu --plot

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  • Jupyter Notebook 75.4%
  • Python 24.6%