{"id":22845449,"url":"https://github.com/r3dacted42/dip-filter-thresh-gui","last_synced_at":"2026-04-29T17:37:45.171Z","repository":{"id":230838532,"uuid":"780158301","full_name":"r3dacted42/dip-filter-thresh-gui","owner":"r3dacted42","description":"assignment made for a digital image processing course","archived":false,"fork":false,"pushed_at":"2025-03-24T17:18:01.000Z","size":994,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-03-24T18:29:18.674Z","etag":null,"topics":["image-processing","opencv","pyqt5"],"latest_commit_sha":null,"homepage":"","language":"Python","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/r3dacted42.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,"roadmap":null,"authors":null,"dei":null}},"created_at":"2024-03-31T21:22:19.000Z","updated_at":"2025-03-24T17:18:05.000Z","dependencies_parsed_at":"2024-04-16T17:07:07.778Z","dependency_job_id":null,"html_url":"https://github.com/r3dacted42/dip-filter-thresh-gui","commit_stats":null,"previous_names":["priyanshagrahari/dip-filter-thresh-gui","r3dacted42/dip-filter-thresh-gui"],"tags_count":1,"template":false,"template_full_name":null,"purl":"pkg:github/r3dacted42/dip-filter-thresh-gui","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/r3dacted42%2Fdip-filter-thresh-gui","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/r3dacted42%2Fdip-filter-thresh-gui/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/r3dacted42%2Fdip-filter-thresh-gui/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/r3dacted42%2Fdip-filter-thresh-gui/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/r3dacted42","download_url":"https://codeload.github.com/r3dacted42/dip-filter-thresh-gui/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/r3dacted42%2Fdip-filter-thresh-gui/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":32437103,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-29T17:34:55.123Z","status":"ssl_error","status_checked_at":"2026-04-29T17:34:45.749Z","response_time":110,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.6:443 state=error: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"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":["image-processing","opencv","pyqt5"],"created_at":"2024-12-13T03:17:18.848Z","updated_at":"2026-04-29T17:37:45.154Z","avatar_url":"https://github.com/r3dacted42.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Image Filtering and Thresholding using OpenCV and PyQt5\n\n## Supported operations\n\n### Filtering  \nIncludes the following kernels for filtering:\n1. Identity\n2. Edge\n3. Sharpen\n4. Blur (average and gaussian)\n6. Custom - enter any matrix and apply onto image\n\n### Thresholding\nIncludes the following thresholding methods:\n1. Global - manually set threshold\n2. Adaptive (mean and gaussian)\n3. Otsu (direct and with gaussian blur)\n\n## How to use\n\n### Method 1 - download release and run (Windows only)  \nyou'll find it on the right side of the git repo page\n\n### Method 2 - run in python virtualenv  \n1. set up the venv `python -m venv .venv`\n2. activate the venv using one of the appropriate scripts inside the `.venv/Scripts/` directory\n3. install the required dependencies `pip install -r requirements.txt`\n4. finally, run it using `python main.py`\n\n#### To build using PyInstaller\n`pyinstaller --name='\u003cwhatever you want\u003e' --windowed --onefile --add-data \"undo-arrow.png;.\" main.py`\n\n## Screenshots\n\n- First launch  \n\u003cimg src=\"https://github.com/r3dacted42/dip-filter-thresh-gui/blob/master/screenshots/0.png?raw=true\"\u003e\n\n- After loading an image  \n\u003cimg src=\"https://github.com/r3dacted42/dip-filter-thresh-gui/blob/master/screenshots/1.png?raw=true\"\u003e\n\n- Applying edge filter  \n\u003cimg src=\"https://github.com/r3dacted42/dip-filter-thresh-gui/blob/master/screenshots/2.png?raw=true\"\u003e\n\n- Applying gaussian adaptive thresholding  \n\u003cimg src=\"https://github.com/r3dacted42/dip-filter-thresh-gui/blob/master/screenshots/3.png?raw=true\"\u003e\n\n- After a few iterations of otsu's thresholding  \n\u003cimg src=\"https://github.com/r3dacted42/dip-filter-thresh-gui/blob/master/screenshots/4.png?raw=true\"\u003e\n\n## Credits\n\n- Undo Arrow Icon - \u003ca href=\"https://www.flaticon.com/free-icons/reset\" title=\"reset icons\"\u003eReset icons created by Freepik - Flaticon\u003c/a\u003e, [Icon used](https://www.flaticon.com/free-icon/undo-arrow_82004)\n- Anime in the screenshots - [Kaguya sama](https://myanimelist.net/anime/37999/Kaguya-sama_wa_Kokurasetai__Tensai-tachi_no_Renai_Zunousen) :)\n\n## Disclaimer\n\nThis was made within a day for an assignment, may have bugs, though i've tried to smash any i could find. Any bug reports and feature suggestions are welcome.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fr3dacted42%2Fdip-filter-thresh-gui","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fr3dacted42%2Fdip-filter-thresh-gui","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fr3dacted42%2Fdip-filter-thresh-gui/lists"}