Pokemon Classifier
PyTorch and FastAI implementation of pokemon classifier with over 150 different classes with the error rate of 6%.
Demo
The demo for the application is available at Pokemon Classifier
Screenshots
Installation
Create a virtual environement with python 3.7+
python -m pip install virualenv
python -m virtualenv venv
Activate the virtual environement
source venv/bin/activate
Install the requirements from the application.
pip install -r requirements.txt
Download and place the export.pkl
file inside the root directory of the project.
The model
is avilable at export.pkl
After placing the export.pkl
inside the project run the flask server with these command
python app.py
It will start development server at http://127.0.0.1:5000