{"id":49425346,"url":"https://github.com/nobody-1321/pixelops","last_synced_at":"2026-04-29T09:04:32.571Z","repository":{"id":268831431,"uuid":"904930928","full_name":"Nobody-1321/PixelOps","owner":"Nobody-1321","description":"Image processing algorithms and implementations.","archived":false,"fork":false,"pushed_at":"2026-04-26T17:32:13.000Z","size":48424,"stargazers_count":8,"open_issues_count":1,"forks_count":4,"subscribers_count":1,"default_branch":"master","last_synced_at":"2026-04-26T19:19:14.169Z","etag":null,"topics":["image-processing","maths","opencv"],"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/Nobody-1321.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,"publiccode":null,"codemeta":null,"zenodo":null,"notice":null,"maintainers":null,"copyright":null,"agents":null,"dco":null,"cla":null}},"created_at":"2024-12-17T20:32:16.000Z","updated_at":"2026-04-26T17:32:17.000Z","dependencies_parsed_at":"2025-02-26T07:29:52.914Z","dependency_job_id":"7be983b3-7384-4738-855c-062407d87d83","html_url":"https://github.com/Nobody-1321/PixelOps","commit_stats":null,"previous_names":["nobody-1321/image-processing-examples","nobody-1321/learn-image-processing","nobody-1321/pixelops"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/Nobody-1321/PixelOps","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Nobody-1321%2FPixelOps","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Nobody-1321%2FPixelOps/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Nobody-1321%2FPixelOps/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Nobody-1321%2FPixelOps/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Nobody-1321","download_url":"https://codeload.github.com/Nobody-1321/PixelOps/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Nobody-1321%2FPixelOps/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":32418188,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-29T06:29:02.080Z","status":"ssl_error","status_checked_at":"2026-04-29T06:29:00.631Z","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","maths","opencv"],"created_at":"2026-04-29T09:04:24.433Z","updated_at":"2026-04-29T09:04:32.554Z","avatar_url":"https://github.com/Nobody-1321.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Image Processing\n\nThis repository is an early-stage image processing project written in Python.\n\nIt is still under active restructuring, so the current focus is on composing and organizing complete implementations rather than providing a finished public package or formal documentation.\n\nThe goal of this project is not to replace mature image processing libraries. The code is intentionally written in pure Python, which makes some optimizations harder and can limit execution speed compared with low-level implementations. Even so, the package aims to provide complete, practical techniques that can be used quickly in experiments and small workflows.\n\nWhere appropriate, the project uses `numba` to improve execution times in performance-sensitive routines.\n\n## Project Status\n\n- Early development version.\n- Internal structure is still being reorganized.\n- Package-level documentation is not available yet.\n- Examples are still the main place to explore features and experiment with implementations.\n\n## Repository Layout\n\n- `pixelops/`: core library code grouped by topic.\n- `examples/`: example implementations and usage experiments.\n- `tests/`: automated tests when available.\n- `data/`: input assets used by examples and experiments.\n- `benchmarks/`: scripts for measuring performance of selected algorithms.\n\n## Examples\n\nThe `examples/` folder contains implementation demos and work-in-progress scripts.\n\nThese examples are useful for:\n\n- exploring how an algorithm is implemented,\n- testing visual output,\n- comparing variants of the same idea,\n- iterating before code is promoted into the library.\n\n## Package\n\nThe library is being built incrementally and is not yet fully documented.\n\nIf you are using the package directly, inspect the source code inside `pixelops/` to understand the available functions and expected inputs.\n\n## Requirements\n\nThe project uses Python together with common scientific and image processing packages such as:\n\n- OpenCV\n- NumPy\n- Matplotlib\n- SciPy\n- Numba\n\nSome modules may also depend on optional packages for performance or specific algorithms.\n\n## Running Examples\n\nMost example scripts are designed to be executed directly with Python.\n\nTypical workflow:\n\n1. Install the required dependencies.\n2. Run the example script from the project root.\n3. Use the images in `data/` or adjust the input path in the script.\n\n## Development Notes\n\n- This project is being refactored in small steps.\n- Some files are experimental or temporary.\n- Naming and folder organization may change as the library matures.\n- Documentation will be expanded once the core structure stabilizes.\n\n## Contributing\n\nIf you are modifying the project, keep changes small and consistent with the existing style.\n\nWhen possible:\n\n- prefer readable implementations over premature optimization,\n- keep examples self-contained,\n- move stable code from `examples/` into `pixelops/` only when it is ready for reuse,\n- add tests alongside new reusable functionality.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnobody-1321%2Fpixelops","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fnobody-1321%2Fpixelops","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnobody-1321%2Fpixelops/lists"}