cuimgops 0.1.1

CUDA accelerated image augmentations

cuimgops

CUDA-accelerated image augmentation operations for Python.

Features

• Horizontal flip
• Vertical flip
• Gaussian noise
• Edge detection
• Blur (smoothing)
• Sharpening

Installation

pip install cuimgops

Requirements

• CUDA-capable GPU
• CUDA Toolkit
• Python >= 3.8
• numpy
• pillow

Usage

from cuimgops import (
    get_horizontal_flip,
    get_vertical_flip,
    get_gaussian_noise,
    get_edge_detection,
    get_blur,
    get_sharpening
)
from PIL import Image

img = Image.open("image.jpg")

flipped = get_horizontal_flip(img)
noisy = get_gaussian_noise(img, mean=0.0, stddev=15.0)
edges = get_edge_detection(img)
blurred = get_blur(img)
sharpened = get_sharpening(img)

Author

sashank nimmagadda

License

MIT