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https://github.com/yungshenglu/pokemonrecognition
Recognize Pokemon's image using scikit-learn in Python
https://github.com/yungshenglu/pokemonrecognition
knn-model python scikit-learn svm-model
Last synced: 21 days ago
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Recognize Pokemon's image using scikit-learn in Python
- Host: GitHub
- URL: https://github.com/yungshenglu/pokemonrecognition
- Owner: yungshenglu
- License: gpl-3.0
- Created: 2018-07-10T05:10:42.000Z (over 6 years ago)
- Default Branch: master
- Last Pushed: 2019-03-27T04:49:31.000Z (almost 6 years ago)
- Last Synced: 2024-11-13T23:05:58.083Z (2 months ago)
- Topics: knn-model, python, scikit-learn, svm-model
- Language: Python
- Homepage:
- Size: 34.7 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
Awesome Lists containing this project
README
# Pokemon Recognition
This repository is going to implement a Pokemon's image recognition. Besides, this program is using KNN and SVM model with **scikit-learn** to learn. Notice that this program can recognize the image of Pokemon as follow:
* Charizrd
* Gengar
* Pikachu
* Tangela
---
## Prerequisite
> **NOTICE:** Make sure you have already installed Python on your machine.
* Before executing, you need to install the following packages
* Install **Pillow 2.2.1** using `pip`
```bash
$ [sudo] pip install Pillow==2.2.1
```
* Install **bunch 1.0.1** using `pip`
```bash
$ [sudo] pip install bunch
```
* Install **scikit-learn 0.19.1** using `pip`
```bash
$ [sudo] pip install scikit-learn
```
---
## Execution
* Execute `main.py` by using **SVM** training model
```bash
# Make sure your current directory is "src/"
$ python main.py svm
$ python main.py SVM
```
* Execute `main.py` by using **KNN** training model
```bash
# Make sure your current directory is "src/"
$ python main.py knn
$ python main.py KNN
```
---
## File Description
* `./src/main.py` - Use Python with respect to KNN and SVM training model to recognize each Pokemon
* `./input/` - Input image of each pokemon
* `./processed/` - Processed image after transfer into grayscale
---
## References
* [Pillow 2.2.1](https://pypi.org/project/Pillow/2.2.1/)
* [bunch 1.0.1](https://pypi.org/project/bunch/)
* [scikit-learn 0.19.1](https://pypi.org/project/scikit-learn/)
---
## Contributor
> **NOTICE:** You can follow the contributing process [CONTRIBUTING.md](CONTRIBUTING.md) to join me. I am very welcome any issue!
* [David Lu](https://github.com/yungshenglu)
---
## License
[GNU GENERAL PUBLIC LICENSE Version 3](LICENSE)