Pinned Repositories
algorithm-engineer-prepares
A brief collections of (minimal) required knowledge for algorithm engineers. Including computer vision, deep learning, machine learning and other basic algorithms
cyclegan-pytorch
An easy-to-modify and easy-to-follow re-implementation of CycleGAN (cycle-consistent generative adversarial network) in PyTorch
guided-filter-cpp
implementation of Guided Filter [Kaiming He, ECCV10] using C++
image-classification-pipeline
An easy to run and modify pipeline project for image classification. Support folder and csv format dataset.
image-segmentation-pipeline
Codebase for semantic segmentation that you can get started and modify without too much effort.
lowlevel-book-codebase
Source code for book "Image algorithms for low-level vision tasks" (Jia. 2024), including denoising, super-resolution, dehazing, image composition and enhancement models and algorithms implemented in pure Python.
pyseismic
python tools for seismic ground-roll (surface wave) simulation
pytorch-unet-for-retina-vessel-segmentation
a simple and easy to follow pytorch implementation of U-net for retina vessel segmentation
RGBW-fusion-denoise
codebase for RGBW fusion and denoising challenge of MIPI 2022 (team jzsherlock)
TISR_APTX4869
Source code of team APTX4869 (3rd in x2 MR2HR PSNR/SSIM metrics) in Thermal Image Super-Resolution Challenge Results - PBVS 2023
jzsherlock4869's Repositories
jzsherlock4869/algorithm-engineer-prepares
A brief collections of (minimal) required knowledge for algorithm engineers. Including computer vision, deep learning, machine learning and other basic algorithms
jzsherlock4869/pyseismic
python tools for seismic ground-roll (surface wave) simulation
jzsherlock4869/TISR_APTX4869
Source code of team APTX4869 (3rd in x2 MR2HR PSNR/SSIM metrics) in Thermal Image Super-Resolution Challenge Results - PBVS 2023
jzsherlock4869/cyclegan-pytorch
An easy-to-modify and easy-to-follow re-implementation of CycleGAN (cycle-consistent generative adversarial network) in PyTorch
jzsherlock4869/image-classification-pipeline
An easy to run and modify pipeline project for image classification. Support folder and csv format dataset.
jzsherlock4869/pytorch-unet-for-retina-vessel-segmentation
a simple and easy to follow pytorch implementation of U-net for retina vessel segmentation
jzsherlock4869/guided-filter-cpp
implementation of Guided Filter [Kaiming He, ECCV10] using C++
jzsherlock4869/lowlevel-book-codebase
Source code for book "Image algorithms for low-level vision tasks" (Jia. 2024), including denoising, super-resolution, dehazing, image composition and enhancement models and algorithms implemented in pure Python.
jzsherlock4869/reinforcement-learning-sutton-code
Implementations of methods in book <Reinforcement Learning: an introduction> by Sutton Barto, using Python.
jzsherlock4869/exposure-fusion-cpp
Exposure fusion method implemented in C++, which combines multi-expo images to high quality image.
jzsherlock4869/mavoc-sar-eo-track
PBVS 2022 Multi-modal Aerial View Object Classification Challenge Track 2 (SAR+EO) 6th Solution
jzsherlock4869/denoise-ignet
Official code of "Exploring Inter-frequency Guidance of Image for Lightweight Gaussian Denoising"
jzsherlock4869/jzsherlock4869
jzsherlock4869/diffusion-generation-pipeline
jzsherlock4869/image-segmentation-pipeline
Codebase for semantic segmentation that you can get started and modify without too much effort.
jzsherlock4869/jzsherlock4869.github.io
jzsherlock4869.github.io
jzsherlock4869/leetcode-by-category
leetcode solutions and summarizations organised by problem category (array, string, bfs, dp, tree etc.)
jzsherlock4869/opencl-gamma-example
An example mini-project using OpenCL to conduct gamma transform of images
jzsherlock4869/pose-estimation-pipeline
simple human pose estimation, keypoints detection. Support MPII and COCO format dataset. (annotation converter for MPII .mat included)
jzsherlock4869/RGBW-fusion-denoise
codebase for RGBW fusion and denoising challenge of MIPI 2022 (team jzsherlock)
jzsherlock4869/games101-codes
ucsb games101 (overview of computer graphics) codes