{"id":19243211,"url":"https://github.com/acecoooool/interview-computer-vision","last_synced_at":"2025-02-23T14:45:11.729Z","repository":{"id":201607383,"uuid":"147086153","full_name":"AceCoooool/interview-computer-vision","owner":"AceCoooool","description":":books: 计算机视觉笔记和总结","archived":false,"fork":false,"pushed_at":"2018-10-25T12:41:21.000Z","size":62996,"stargazers_count":62,"open_issues_count":0,"forks_count":17,"subscribers_count":5,"default_branch":"master","last_synced_at":"2025-01-05T03:42:26.675Z","etag":null,"topics":["computer-vision","interview","summary"],"latest_commit_sha":null,"homepage":"","language":null,"has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/AceCoooool.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null}},"created_at":"2018-09-02T13:10:52.000Z","updated_at":"2024-11-28T06:03:25.000Z","dependencies_parsed_at":null,"dependency_job_id":"42bf2ff9-6c72-4788-b3c2-402662b2710e","html_url":"https://github.com/AceCoooool/interview-computer-vision","commit_stats":null,"previous_names":["acecoooool/interview-computer-vision"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AceCoooool%2Finterview-computer-vision","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AceCoooool%2Finterview-computer-vision/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AceCoooool%2Finterview-computer-vision/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AceCoooool%2Finterview-computer-vision/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/AceCoooool","download_url":"https://codeload.github.com/AceCoooool/interview-computer-vision/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":240331313,"owners_count":19784644,"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":["computer-vision","interview","summary"],"created_at":"2024-11-09T17:17:00.662Z","updated_at":"2025-02-23T14:45:11.701Z","avatar_url":"https://github.com/AceCoooool.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"# interview-computer-vision\n计算机视觉方向知识点总结。\n\n### 1. 数字图像处理\n\n详见：[image process](Image/README.md)\n\n\u003e 这部分很多内容是来学校课程的ppt\n\n### 2. 机器学习基础\n\n详见：[machine learning](ML/README.md)\n\n\u003e 更\"全面的\"内容见：[机器学习基石和技法](https://github.com/AceCoooool/MLF-MLT)\n\n### 3. 深度学习基础\n\n详见：[deep learning](DL/README.md)\n\n\u003e 更\"全面的\"内容见：[MLDS-Note](https://github.com/AceCoooool/MLDS-Note)\n\n### 4. 去噪网络\n\n详见：[denoise](Denoise/README.md)\n\n\u003e 更多去噪论文：[Denoise Summary](https://github.com/wenbihan/reproducible-image-denoising-state-of-the-art)\n\n### 5. 目标检测\n\n详见：[object detection](Detection/README.md)\n\n### 6. 实例分割\n\n详见：[semantic segmentation](Segmentation/README.md)\n\n## 说明\n\n1. 里面很多内容直接参考其他人的一些笔记（个人比较懒），如果有任何**侵权或者未注明出处**请联系我，会删掉或注明出处（非常抱歉，由于很多是很久以前的笔记，不一定记得住标明）\n\n2. 希望这里面的内容对您有帮助，请勿用于任何商业用途～\n\n3. 欢迎pull issue和pull requests\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Facecoooool%2Finterview-computer-vision","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Facecoooool%2Finterview-computer-vision","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Facecoooool%2Finterview-computer-vision/lists"}