{"id":13439535,"url":"https://github.com/GCaptainNemo/Cuda-Image-Processing","last_synced_at":"2025-03-20T08:31:30.027Z","repository":{"id":108956478,"uuid":"382787787","full_name":"GCaptainNemo/Cuda-Image-Processing","owner":"GCaptainNemo","description":"Using CUDA GPU Programming to speed up image processing.","archived":false,"fork":false,"pushed_at":"2021-12-15T10:49:20.000Z","size":8190,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":3,"default_branch":"main","last_synced_at":"2024-10-28T01:12:56.994Z","etag":null,"topics":["cuda-programming","image-processing"],"latest_commit_sha":null,"homepage":"","language":"Cuda","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"apache-2.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/GCaptainNemo.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null}},"created_at":"2021-07-04T07:12:35.000Z","updated_at":"2022-09-28T07:35:27.000Z","dependencies_parsed_at":"2023-04-04T00:47:15.458Z","dependency_job_id":null,"html_url":"https://github.com/GCaptainNemo/Cuda-Image-Processing","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/GCaptainNemo%2FCuda-Image-Processing","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/GCaptainNemo%2FCuda-Image-Processing/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/GCaptainNemo%2FCuda-Image-Processing/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/GCaptainNemo%2FCuda-Image-Processing/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/GCaptainNemo","download_url":"https://codeload.github.com/GCaptainNemo/Cuda-Image-Processing/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":244577795,"owners_count":20475363,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["cuda-programming","image-processing"],"created_at":"2024-07-31T03:01:14.824Z","updated_at":"2025-03-20T08:31:30.022Z","avatar_url":"https://github.com/GCaptainNemo.png","language":"Cuda","readme":"# CUDA-Image-processing\r\n\r\n## 一、介绍\r\n\r\n本仓库用CUDA编程实现图像处理的算法。相比于串行的方式，使用GPU调用多线程完成速度要快得多。\r\n\r\n## 二、安装方法 \r\n\r\n## 2.1 CUDA C++\r\n\r\n```\r\ncd cuda-conv\r\nmkdir build\r\ncd build\r\ncmake ..\r\n```\r\n\r\n## 2.2 PyCUDA python\r\n\r\n```\r\ncd cuda-conv\r\ncd pycuda\r\npython xxx.py\r\n```\r\n\r\n\r\n\r\n## 三、已实现功能\r\n\r\n1. 图像2D卷积(`namespace conv`)\r\n2. 图像Harris角点提取(`namespace harris`)\r\n3. 构造高斯图像金字塔(`namespace gau_pyr`)   \r\n4. 构造高斯差分(DoG)金字塔(`namespace gau_pyr`)\r\n5. 灰度图像形态学操作(腐蚀、膨胀)(`namespace morphology`)\r\n6. 提取图像边缘，逆距离变换 PyCUDA\r\n","funding_links":[],"categories":["Cuda"],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FGCaptainNemo%2FCuda-Image-Processing","html_url":"https://awesome.ecosyste.ms/projects/github.com%2FGCaptainNemo%2FCuda-Image-Processing","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FGCaptainNemo%2FCuda-Image-Processing/lists"}