{"id":27172902,"url":"https://github.com/jkl404/live-streaming-object-emotion-detection","last_synced_at":"2025-04-09T10:41:04.778Z","repository":{"id":258675485,"uuid":"529124745","full_name":"JKL404/Live-Streaming-Object-Emotion-Detection","owner":"JKL404","description":"Live Streaming Object Detection with OpenCV-Python and FastAPI","archived":false,"fork":false,"pushed_at":"2022-08-27T09:49:01.000Z","size":41242,"stargazers_count":7,"open_issues_count":0,"forks_count":1,"subscribers_count":1,"default_branch":"main","last_synced_at":"2024-10-20T04:18:17.272Z","etag":null,"topics":["emotion-detection","emotion-recognition","fastapi","object-detection","opencv-python","python3"],"latest_commit_sha":null,"homepage":"","language":"CSS","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/JKL404.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}},"created_at":"2022-08-26T05:20:12.000Z","updated_at":"2024-09-01T13:03:07.000Z","dependencies_parsed_at":"2024-10-20T04:28:31.758Z","dependency_job_id":null,"html_url":"https://github.com/JKL404/Live-Streaming-Object-Emotion-Detection","commit_stats":null,"previous_names":["jkl404/live-streaming-object-emotion-detection"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/JKL404%2FLive-Streaming-Object-Emotion-Detection","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/JKL404%2FLive-Streaming-Object-Emotion-Detection/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/JKL404%2FLive-Streaming-Object-Emotion-Detection/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/JKL404%2FLive-Streaming-Object-Emotion-Detection/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/JKL404","download_url":"https://codeload.github.com/JKL404/Live-Streaming-Object-Emotion-Detection/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":248023048,"owners_count":21034985,"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":["emotion-detection","emotion-recognition","fastapi","object-detection","opencv-python","python3"],"created_at":"2025-04-09T10:41:04.173Z","updated_at":"2025-04-09T10:41:04.767Z","avatar_url":"https://github.com/JKL404.png","language":"CSS","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Live Streaming Object/Emotion Detection with OpenCV-Python, Tensorflow and FastAPI\n\n## _JKL404_\n\n[![Build Status](https://travis-ci.org/joemccann/dillinger.svg?branch=master)]()\n\nOpenCV is the huge open-source library for computer vision, machine learning, and image processing and now it plays a major role in real-time operation which is very important in today’s systems. By using it, one can process images and videos to identify objects, faces, or even the handwriting of a human. This Project focuses on detecting objects.\n\nTensorFlow is a free and open-source software library for machine learning and artificial intelligence. It can be used across a range of tasks but has a particular focus on training and inference of deep neural networks.\n\n![Object Detection](https://neilyongyangnie.files.wordpress.com/2018/11/0_hmacefect2pyqoxf.jpg)\n\n## Features\n\n- Use machine learning to understand your images with industry-leading prediction accuracy\n- Train machine learning models that classify images by your custom labels\n- Detect objects and faces\n\n## Installation\n\n![Object Detection](https://s3-us-west-2.amazonaws.com/static.pyimagesearch.com/opencv-yolo/yolo_overpass_output.gif)\n\nInstall the dependencies and devDependencies and start the server.\n\n```sh\npip install -r requirements.txt\npython app.py\n```\n\nVerify the deployment by navigating to your server address in\nyour preferred browser.\n\n```sh\n127.0.0.1:8000\n```\n\n## Object List\n\nperson\n\nbicycle\n\ncar\n\nmotorbike\n\naeroplane\n\nbus\n\ntrain\n\ntruck\n\nboat\n\ntraffic light\n\nfire hydrant\n\nstop sign\n\nparking meter\n\nbench\n\nbird\n\ncat\n\ndog\n\nhorse\n\nsheep\n\ncow\n\nelephant\n\nbear\n\nzebra\n\ngiraffe\n\nbackpack\n\numbrella\n\nhandbag\n\ntie\n\nsuitcase\n\nfrisbee\n\nskis\n\nsnowboard\n\nsports ball\n\nkite\n\nbaseball bat\n\nbaseball glove\n\nskateboard\n\nsurfboard\n\ntennis racket\n\nbottle\n\nwine glass\n\ncup\n\nfork\n\nknife\n\nspoon\n\nbowl\n\nbanana\n\napple\n\nsandwich\n\norange\n\nbroccoli\n\ncarrot\n\nhot dog\n\npizza\n\ndonut\n\ncake\n\nchair\n\nsofa\n\npottedplant\n\nbed\n\ndiningtable\n\ntoilet\n\ntvmonitor\n\nlaptop\n\nmouse\n\nremote\n\nkeyboard\n\ncell phone\n\nmicrowave\n\noven\n\ntoaster\n\nsink\n\nrefrigerator\n\nbook\n\nclock\n\nvase\n\nscissors\n\nteddy bear\n\nhair drier\n\ntoothbrush\n\n## License\n\nMIT\n\n**Free Software, Hell Yeah!**\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjkl404%2Flive-streaming-object-emotion-detection","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fjkl404%2Flive-streaming-object-emotion-detection","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjkl404%2Flive-streaming-object-emotion-detection/lists"}