It is mainly used to create images dataset for training, which supports RGB-image and one-channel grey image
image(JPG / PNG) files:
├── resize_image.py
├── load_znyp_format.py
├── convert_images_to_znyp_format.py
├── README.md
├── znyp_dataset
└── classes
├── 0
│ ├── gesture-1.jpg
│ └── gesture-2.jpg
├── 1
│ ├── gesture-3.jpg
│ └── gesture-4.jpg
├── 2
│ └── gesture-5.jpg
depend on python3.5
- pillow(PIL)
- numpy
- matplotlib
- put your images in the class folder
- modify the configuration that matches the images in convert_images_to_znyp_format.py
- run the python script, which will transform you images into znyp format
python convert_images_to_znyp_format.py
you can also load and visualize the dataset using python script
python load_znyp_format.py