pixtreme-filter 0.8.0

GPU-accelerated image filtering operations for pixtreme

pixtreme-filter

GPU-accelerated image filtering operations for pixtreme

Overview

pixtreme-filter provides high-performance image filtering operations running on CUDA-enabled GPUs. All operations are optimized for real-time performance and work directly on GPU memory.

Features

• Gaussian Blur: GPU-accelerated Gaussian blur with separable kernels
• Zero-Copy Operations: Direct GPU memory processing via CuPy
• Flexible Interface: Functional API and class-based API

Installation

Requirements:

• Python >= 3.12
• CUDA Toolkit 12.x
• NVIDIA GPU with compute capability >= 6.0

pip install pixtreme-filter

Requires pixtreme-core and CUDA Toolkit 12.x.

Quick Start

import pixtreme_filter as pf
import pixtreme_core as px

# Read image
img = px.imread("input.jpg")

# Apply Gaussian blur
blurred = pf.gaussian_blur(img, ksize=15, sigma=3.0)

# Save result
px.imwrite("output.jpg", blurred)

API

Gaussian Blur

# Functional API
blurred = pf.gaussian_blur(image, ksize=15, sigma=3.0)

# Class-based API (for repeated operations with same parameters)
blur = pf.GaussianBlur()
blurred = blur.get(image, ksize=15, sigma=3.0)

# Get kernel for custom operations
kernel = pf.get_gaussian_kernel(ksize=15, sigma=3.0)

License

MIT License - see LICENSE file for details.

Links

• Repository: https://github.com/sync-dev-org/pixtreme