{"id":25849231,"url":"https://github.com/ankhoa1212/computer-vision","last_synced_at":"2026-05-01T23:32:45.235Z","repository":{"id":279381491,"uuid":"938608284","full_name":"ankhoa1212/computer-vision","owner":"ankhoa1212","description":"This is a repository of computer vision techniques used on live video feed.","archived":false,"fork":false,"pushed_at":"2025-09-30T06:16:56.000Z","size":1319,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-11-27T14:56:05.124Z","etag":null,"topics":["cli","computer-vision","opencv","python"],"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/ankhoa1212.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":"2025-02-25T08:14:39.000Z","updated_at":"2025-09-30T06:16:59.000Z","dependencies_parsed_at":"2025-09-30T08:17:03.467Z","dependency_job_id":"d66ee328-e657-4270-9a05-b80d844543b7","html_url":"https://github.com/ankhoa1212/computer-vision","commit_stats":null,"previous_names":["ankhoa1212/computer-vision"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/ankhoa1212/computer-vision","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ankhoa1212%2Fcomputer-vision","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ankhoa1212%2Fcomputer-vision/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ankhoa1212%2Fcomputer-vision/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ankhoa1212%2Fcomputer-vision/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/ankhoa1212","download_url":"https://codeload.github.com/ankhoa1212/computer-vision/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ankhoa1212%2Fcomputer-vision/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":32517222,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-30T13:12:12.517Z","status":"online","status_checked_at":"2026-05-01T02:00:05.856Z","response_time":64,"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":["cli","computer-vision","opencv","python"],"created_at":"2025-03-01T11:28:17.243Z","updated_at":"2026-05-01T23:32:45.211Z","avatar_url":"https://github.com/ankhoa1212.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Computer Vision\n\nThis repository contains code for computer vision techniques on live video feed.\n\n## Table of Contents\n- [Installation](#installation)\n- [Usage](#usage)\n- [Techniques](#techniques)\n\n## Installation\nPython3 is required to run this program. It can be installed from [here](https://www.python.org/downloads/) if needed.\n\nTo avoid dependency conflicts, it is recommended to use a virtual environment. You can create and activate one using the following commands:\n\nOn Windows:\n```\npython -m venv venv\nvenv\\Scripts\\activate\n```\n\nOn macOS/Linux:\n```\npython3 -m venv venv\nsource venv/bin/activate\n```\nTo install the necessary dependencies, run:\n```\npip install -r requirements.txt\n```\nA video apparatus (such as a webcam) will be needed to run the program. A phone can also be used by using the [DroidCam app](https://droidcam.app/)\n## Usage\nTo run the code, you can use the following command:\n```\npython main.py \u003cmethod_name\u003e\n```\nMultiple methods can also be run in succession:\n```\npython main.py \u003cmethod_name_1\u003e \u003cmethod_name_2\u003e\n```\n### Running the object_detection script\n\n#### Prerequisites\nBefore running the `object_detection.py` script, navigate to the object_detection folder\n\n1. Navigate to the `object_detection` folder using the following command:\n    ```bash\n    cd object_detection\n    ```\n2. Install the dependencies from `object_detection_requirements.txt`\n    ```bash\n    pip install -r object_detection_requirements.txt\n    ```\n\n3. **Run the Script**:\n    Execute the `object_detection` script using:\n    ```bash\n    python object_detection.py\n    ```\n\n\n## Techniques\nThis repository includes implementations of the following computer vision techniques:\n- color masking\n- contours\n- sobel filter\n- laplacian filter\n- convolutional neural network\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fankhoa1212%2Fcomputer-vision","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fankhoa1212%2Fcomputer-vision","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fankhoa1212%2Fcomputer-vision/lists"}