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starterdex, but better, an app that identifies Pokémon by using densenet201 and fastai over PyTorch, knows about all 151 generation one Pokémon + 15 mega evolutions and tells you all about them.

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parikshitkumar1/Multiclass-Image-Classification-for-Pok-mon

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Pokédex

Motivation

To make a better version of starterdex by using fastai, transfer learning and with a better front-end

Uses densenet201 and knows about all 151 generation one pokemon + 15 mega evolutions

Requirements

Python 3.8 or above with all requirements dependencies installed. To install run:

$ pip3 install -r requirements.txt

If, you run into a load_learner error, run this on the terminal:

$ pip3 install https://github.com/fastai/fastai1/archive/master.zip

To run

$ streamlit run pokedex.py

I don't think I'll be deploying this, here's a lighter version that has been deployed: https://starterdex.herokuapp.com/

Examples

you can use the images included in the IMAGES folder to test the app, or any other jpeg/jpg

v2:

v1 (without BeautifulSoup):

Might Do

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starterdex, but better, an app that identifies Pokémon by using densenet201 and fastai over PyTorch, knows about all 151 generation one Pokémon + 15 mega evolutions and tells you all about them.

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