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Dog Breed Classifier Web App

The idea of this project is a simple web application for the dog breed classifier developed in my dog-project. Caveat: This is very rudimentary code and its not heavily tested. This is also my first web development project, so there will be a lot of things to improve and I am also happy to receive suggestions. But I am not sure how strongly I am going to develop this project in future.

Getting Started

These instructions will get you a copy of the project up and running on your local machine.

Instructions

  1. Clone the repository and navigate to the project folder:
git clone https://github.com/gro1m/dogbreed_flask
cd dogbreed_flask
  1. Set up a virtual environment (called test-env here as an example):
conda create --name test-env python=3.6 anaconda
  1. Install the project requirements located in the bash script requirements.sh:
./requirements/requirements.sh
  1. Execute setup.py:
pip install --editable .
  1. Set environment variables:
export FLASK_APP=dogbreed_flask
export FLASK_DEBUG=0
  1. Run the flask application:
flask run
  1. Navigate to http://localhost:5000/ in a web-browser.
  2. Choose an image file on your computer by pressing the first button and then press the Upload! button.
  3. Wait and then see the classification of the image by the dog breed classifier.

NOTE: FLASK_DEBUG=0 has to be set, as otherwise issues with loading a keras model occur, which is discussed and observed by spearsem on keras-team/keras#5640.

License

This project is licensed under the MIT License - see the LICENSE.txt file for details

Acknowledgments

I acknowledge that the html code is mainly from Ibrahim Mokdad's repository https://github.com/ibrahimokdadov/upload_file_python and has been minorly adapted to my use case. The dogbreed_detector.py is the main function and uses the model from https://github.com/gro1m/dog-project.