{"id":26332628,"url":"https://github.com/prajwalamte/image-filters-using-python","last_synced_at":"2026-07-14T23:31:50.190Z","repository":{"id":187306635,"uuid":"625602613","full_name":"PrajwalAmte/Image-Filters-using-Python","owner":"PrajwalAmte","description":"Applying different filters to image using OpenCV, Numpy and Matplotlib libraries of Python","archived":false,"fork":false,"pushed_at":"2023-04-10T04:04:32.000Z","size":195,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-10-17T06:49:48.743Z","etag":null,"topics":[],"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/PrajwalAmte.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":"2023-04-09T16:11:04.000Z","updated_at":"2023-04-10T04:07:17.000Z","dependencies_parsed_at":"2023-08-09T20:50:23.229Z","dependency_job_id":null,"html_url":"https://github.com/PrajwalAmte/Image-Filters-using-Python","commit_stats":null,"previous_names":["prajwalamte/image-filters-using-python"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/PrajwalAmte/Image-Filters-using-Python","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/PrajwalAmte%2FImage-Filters-using-Python","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/PrajwalAmte%2FImage-Filters-using-Python/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/PrajwalAmte%2FImage-Filters-using-Python/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/PrajwalAmte%2FImage-Filters-using-Python/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/PrajwalAmte","download_url":"https://codeload.github.com/PrajwalAmte/Image-Filters-using-Python/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/PrajwalAmte%2FImage-Filters-using-Python/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":35483857,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-26T15:22:16.424Z","status":"online","status_checked_at":"2026-07-14T02:00:06.603Z","response_time":114,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"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":[],"created_at":"2025-03-15T23:29:43.066Z","updated_at":"2026-07-14T23:31:50.177Z","avatar_url":"https://github.com/PrajwalAmte.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Image Filtering Using OpenCV\n\nA Python application for applying various image filters to images using computer vision techniques. This project was created during 2nd year of Engineering as part of a coursework assignment.\n\n## Project Overview\n\nThis program demonstrates fundamental image processing concepts using OpenCV, including kernel-based filtering and color space transformations. It provides an interactive CLI interface for applying different effects to images.\n\n## Features\n\n- **Multiple Filter Effects**: Apply various artistic and processing filters\n  - **Emboss**: Creates a 3D embossed effect\n  - **Sharpen**: Enhances edges and details\n  - **Blur**: Applies Gaussian blur with customizable intensity\n  - **Sepia**: Adds a warm, vintage tone\n- **Interactive CLI**: Simple menu-driven interface\n- **Side-by-side Comparison**: View original and filtered images together\n- **Real-time Visualization**: Uses Matplotlib for immediate feedback\n\n## Requirements\n\n- Python 3.7+\n- OpenCV (`opencv-python`)\n- Matplotlib\n- NumPy\n- Seaborn\n\n## Installation\n\n1. Clone the repository to your local machine:\n```bash\ngit clone https://github.com/yourusername/Image-Filters-using-Python.git\ncd Image-Filters-using-Python\n```\n\n2. Install the required dependencies:\n```bash\npip install -r requirements.txt\n```\n\nOr install manually:\n```bash\npip install opencv-python matplotlib numpy seaborn\n```\n\n## Usage\n\n1. Place your image file in the project directory (update filename in `main.py` if needed)\n2. Run the program:\n```bash\npython main.py\n```\n\n3. Select a filter from the menu:\n   - Enter `1` for Emboss\n   - Enter `2` for Sharpen\n   - Enter `3` for Blur\n   - Enter `4` for Sepia\n\n4. The filtered image will be displayed in a new window alongside the original\n\n## Sample Outputs\n\n### Original Image\n![Original Image](examples/original.png)\n\n### Filter Results\n\n| Emboss | Sharpen |\n|--------|---------|\n| ![Emboss](examples/emboss.png) | ![Sharpen](examples/sharpen.png) |\n\n| Blur | Sepia |\n|------|-------|\n| ![Blur](examples/blur.png) | ![Sepia](examples/sepia.png) |\n\n## Code Structure\n\n- `main.py`: Main application with all filter implementations\n- Filter functions use NumPy kernels and OpenCV's `filter2D()` and transformation functions\n- Modular design allows easy addition of new filters\n\n## Learning Outcomes\n\nThis project helped me understand:\n- Image processing fundamentals and kernel-based filtering\n- Color space conversions (BGR to RGB)\n- OpenCV library usage and APIs\n- Python best practices (type hints, docstrings, error handling)\n\nFor more details, see [Learning.md](Learning.md)\n\n## License\n\nThis project is open source and available under the MIT License.\n\n\n\n\n\n\n\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fprajwalamte%2Fimage-filters-using-python","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fprajwalamte%2Fimage-filters-using-python","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fprajwalamte%2Fimage-filters-using-python/lists"}