Pokemon classifier is a Python project that implements machine learning for classifing pokemon by its picture.
Use the package manager pip to install.
pip install tensorflow
pip install matplotlib
pip install numpyAnd you need to put your data that you want to train.
.
├── files
| └── data
| ├── pokemon-name1 #pokemon name
| | ├── pic1.png # pokemon's picture that will be trained.
| | ├── pic2.png
| | └── ...
| ├── pokemon-name2
| | ├── pic1.png
| | ├── pic2.png
| | └──...
| └── ...
├── src
├── config.ini # config training
├── test.py
└── train.py
[source]
data_folder_path = ./files/data # Your data path. you can change it.
weight_file_path = ./files/weight.h5 # your weight file path. it will be load and update.
[setting]
image_size = 80 # Size of your image that will be resized before trained.
epochs = 10
steps_per_epoch = 100
- if you don't have the weight file, you just put the target path that you want to save your weight in weight_file_path.
Config your training. Train by run this command.
python3.7 train.pyTest with CLI.
python3.7 test.py
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