Mirror/fork of ESA pyxel (https://gitlab.com/esa/pyxel) for personal development
A project for processing neural networks and rendering to gain insights on the architecture and parameters of a model through a decluttered representation.
Denoise,HDR,Isppipeline,Image-processing(图形处理),camera, Isp ,HDRplus
CV-CUDA™ is an open-source, GPU accelerated library for cloud-scale image processing and computer vision.
These codes, based on EMVA Standard 1288, are intended to facilitate the characterization of cameras and image sensors.
This is a series of GPU optimization topics. Here we will introduce how to optimize the CUDA kernel in detail. I will introduce several basic kernel optimizations, including: elementwise, reduce, sgemv, sgemm, etc. The performance of these kernels is basically at or near the theoretical limit.
physical optics: integrated modeling, phase retrieval, segmented systems, polynomials and fitting, sequential raytracing...
📚LeetCUDA: Modern CUDA Learn Notes with PyTorch for Beginners🐑, 200+ CUDA/Tensor Cores Kernels, HGEMM, FA-2 MMA.