{"id":21606108,"url":"https://github.com/bwconrad/video-content-search","last_synced_at":"2025-06-20T03:40:11.967Z","repository":{"id":239669438,"uuid":"629179536","full_name":"bwconrad/video-content-search","owner":"bwconrad","description":"Search the content of a video with a text or image query","archived":false,"fork":false,"pushed_at":"2023-04-20T19:25:31.000Z","size":1981,"stargazers_count":11,"open_issues_count":1,"forks_count":3,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-04-11T04:05:04.953Z","etag":null,"topics":["computer-vision","deep-learning","video-search"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/bwconrad.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","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}},"created_at":"2023-04-17T19:40:09.000Z","updated_at":"2025-01-08T23:10:58.000Z","dependencies_parsed_at":"2024-05-14T00:18:11.561Z","dependency_job_id":"15bd3bf5-6a0a-4671-a77c-92ba3fc1dfe3","html_url":"https://github.com/bwconrad/video-content-search","commit_stats":null,"previous_names":["bwconrad/video-content-search"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/bwconrad/video-content-search","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/bwconrad%2Fvideo-content-search","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/bwconrad%2Fvideo-content-search/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/bwconrad%2Fvideo-content-search/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/bwconrad%2Fvideo-content-search/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/bwconrad","download_url":"https://codeload.github.com/bwconrad/video-content-search/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/bwconrad%2Fvideo-content-search/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":260874781,"owners_count":23075901,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","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","deep-learning","video-search"],"created_at":"2024-11-24T20:19:11.343Z","updated_at":"2025-06-20T03:40:06.951Z","avatar_url":"https://github.com/bwconrad.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Video Content Search\n[![Hugging Face Spaces](https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Spaces-blue)](https://huggingface.co/spaces/bwconrad/video-content-search)\n\nAn application for searching videos to find frames that match a text or image query. This application utilizes ConvNext CLIP models from [OpenCLIP](https://github.com/mlfoundations/open_clip) to compare video frames with the feature representation of a user text or image query.\n\n\u003cp align=\"center\"\u003e\n\u003cimg src=\"assets/text-search-ui.png\" width=\"100%\" style={text-align: center;}/\u003e\n\u003cimg src=\"assets/image-search-ui.png\" width=\"100%\" style={text-align: center;}/\u003e\n\u003c/p\u003e\n\n## Requirements\n- Python 3.8+\n- `pip install -r requirements`\n\n## Usage\n#### Web App\nThe application is available in the Hugging Face Space [here](https://huggingface.co/spaces/bwconrad/video-content-search).\n\nOr you can run it locally by doing the following:\n1. Run `python video-search-app.py` and open the given URL in a browser. \n2. Select either the \"Text Query Search\" or \"Image Query Search\" tab.\n3. Upload your video and write a text query or upload a query image.\n4. Adjust the parameters and click submit.\n\n- __Note__: The web app can have performance issues with long videos (more than a few minutes). Instead use the notebook for longer videos.\n\n#### Notebook\n[`video-search-notebook.ipynb`](video-search-notebook.ipynb) provides an alternate UI with a few extra features.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbwconrad%2Fvideo-content-search","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fbwconrad%2Fvideo-content-search","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbwconrad%2Fvideo-content-search/lists"}