{"id":20458319,"url":"https://github.com/asifdotexe/open-see-wee","last_synced_at":"2026-04-26T20:32:09.520Z","repository":{"id":249614481,"uuid":"830629391","full_name":"Asifdotexe/open-see-wee","owner":"Asifdotexe","description":"Repository for storing all my code written while playing around with and learning OpenCV","archived":false,"fork":false,"pushed_at":"2025-11-24T05:56:00.000Z","size":25642,"stargazers_count":1,"open_issues_count":2,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-11-27T23:54:43.825Z","etag":null,"topics":["computer-vision","image-analysis","opencv","video-analysis"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","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/Asifdotexe.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":"2024-07-18T16:38:05.000Z","updated_at":"2024-10-08T10:27:26.000Z","dependencies_parsed_at":"2024-09-06T08:44:06.869Z","dependency_job_id":"e8679c42-6f2f-45ea-836c-12c1135ad5bd","html_url":"https://github.com/Asifdotexe/open-see-wee","commit_stats":null,"previous_names":["asifdotexe/open-see-wee"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/Asifdotexe/open-see-wee","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Asifdotexe%2Fopen-see-wee","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Asifdotexe%2Fopen-see-wee/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Asifdotexe%2Fopen-see-wee/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Asifdotexe%2Fopen-see-wee/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Asifdotexe","download_url":"https://codeload.github.com/Asifdotexe/open-see-wee/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Asifdotexe%2Fopen-see-wee/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":32312255,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-26T19:15:34.056Z","status":"ssl_error","status_checked_at":"2026-04-26T19:15:15.467Z","response_time":129,"last_error":"SSL_read: 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":["computer-vision","image-analysis","opencv","video-analysis"],"created_at":"2024-11-15T12:11:55.353Z","updated_at":"2026-04-26T20:32:09.515Z","avatar_url":"https://github.com/Asifdotexe.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Computer Vision through OpenCV\n\nWelcome to the **Computer Vision through OpenCV** tutorial! This repository contains a collection of Python scripts and resources designed to teach you the fundamental concepts of Computer Vision using the OpenCV library.\n\n## Project Structure\n\nThe tutorials are organized into modules, each focusing on a specific area of Computer Vision.\n\n### [01. Basics \u0026 IO](tutorials/01_basics_and_io/README.md)\nLearn the essentials: reading images and videos, understanding dimensions, resizing, cropping, and basic geometric transformations like rotation and translation.\n\n### [02. Image Filtering](tutorials/02_image_filtering/README.md)\nExplore techniques to enhance images, including blurring, sharpening, and noise reduction using various filters (Gaussian, Median, Bilateral).\n\n### [03. Morphological Transformations](tutorials/03_morphological_transformations/README.md)\nUnderstand morphological operations like Erosion, Dilation, Opening, and Closing, and their applications in image processing.\n\n### [04. Edge Detection](tutorials/04_edge_detection/README.md)\nDiscover methods to detect edges in images using operators like Canny, Sobel, and Laplacian.\n\n### [05. Arithmetic \u0026 Logic](tutorials/05_arithmetic_and_logic/README.md)\nLearn how to perform arithmetic (addition, subtraction) and bitwise operations on images, essential for masking and blending.\n\n### [06. Histograms \u0026 Intensity Transforms](tutorials/06_histograms_and_intensity_transforms/README.md)\nAnalyze image histograms and apply intensity transformations like Histogram Equalization and Power Law transforms to adjust contrast and brightness.\n\n### [07. Image Features \u0026 Segmentation](tutorials/07_image_features_and_segmentation/README.md)\nDive into advanced topics like image segmentation and feature detection/matching (Harris Corners, ORB, BRISK).\n\n### [08. Video Analysis](tutorials/08_video_analysis/README.md)\nWork with video streams: object tracking (CamShift), background subtraction, and video processing.\n\n### [09. Compression](tutorials/09_compression/README.md)\nUnderstand image compression techniques.\n\n## How to Use\n1.  Navigate to a module folder (e.g., `tutorials/01_basics_and_io`).\n2.  Read the `README.md` to understand the concepts.\n3.  Run the Python scripts to see the code in action.\n    *   Note: You may need to adjust image paths in the scripts if you run them directly, as the directory structure has changed. Ideally, run scripts from inside their respective folders.\n\n## Environment Setup\n\nThis project uses [Poetry](https://python-poetry.org/) for dependency management which ensures a reproducible environment.\n\n1.  **Install Poetry**: If you haven't already, install Poetry by following the [official guide](https://python-poetry.org/docs/#installation).\n\n2.  **Install Dependencies**: Navigate to the project root and run:\n    ```bash\n    poetry install\n    ```\n\n3.  **Run Scripts**: You can execute scripts within the Poetry environment using `poetry run`. For example:\n    ```bash\n    poetry run python tutorials/01_basics_and_io/image_rotation.py\n    ```\n    Alternatively, spawn a shell within the environment:\n    ```bash\n    poetry shell\n    python tutorials/01_basics_and_io/image_rotation.py\n    ```","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fasifdotexe%2Fopen-see-wee","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fasifdotexe%2Fopen-see-wee","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fasifdotexe%2Fopen-see-wee/lists"}