Showing results for CUDA PNG
GitHub Repo
https://github.com/JulianArmour/CUDA-PNG-Manipulations
JulianArmour/CUDA-PNG-Manipulations
No repository description available.
GitHub Repo
https://github.com/kiliakis/cuda-pixelator
kiliakis/cuda-pixelator
Pixalate a jpg, png using CUDA
GitHub Repo
https://github.com/Vath0s/pack-sand-reversal
Vath0s/pack-sand-reversal
A cuda project for filtering world seeds using sand patterns for the pack.png project.
GitHub Repo
https://github.com/axelvanherle/imgConvolutionCuda-C
axelvanherle/imgConvolutionCuda-C
Written by Sem Kirkels, Nathan Bruggeman and Axel Vanherle. Grayscales an image, applies convolution, maximum pooling and minimum pooling.
GitHub Repo
https://github.com/kuldeep-1024/ProjectCudaEdgeDetection
kuldeep-1024/ProjectCudaEdgeDetection
This project performs edge detection on colorful images using Python and CUDA. It processes .tiff images and outputs them in .png format.
GitHub Repo
https://github.com/faerlin-developer/cuda-raytrace
faerlin-developer/cuda-raytrace
A basic ray tracer in C++ using CUDA. Processes a scene containing 3D spheres and generates a 2D image as viewed from a camera positioned along the z-axis and saves the output as a PNG file.
GitHub Repo
https://github.com/Persona036/png-to-grayscale-cuda
Persona036/png-to-grayscale-cuda
Pass an Image, convert it to grayscale using CUDA
GitHub Repo
https://github.com/saiesh619/Cuda-Image-Processing
saiesh619/Cuda-Image-Processing
A CUDA C++ image processing system showcasing parallel GPU acceleration vs CPU. Implements 2D convolution filters (Gaussian, Sharpen, Edge, Laplacian), supports global/constant/shared memory, benchmarks performance, and outputs processed grayscale .png images.
GitHub Repo
https://github.com/Sicatriz/CUDA_2D_Convolution
Sicatriz/CUDA_2D_Convolution
The purpose of this group assignment is to gain a deeper understanding of convolutional neural networks (CNNs) by implementing 2D convolution, min pooling, and max pooling on PNG images for AI deep learning purposes.
GitHub Repo
https://github.com/ElzeB/task