{"id":20547971,"url":"https://github.com/aaditagarwal/activenet","last_synced_at":"2025-07-30T14:15:46.325Z","repository":{"id":106551643,"uuid":"289347023","full_name":"aaditagarwal/ActiveNet","owner":"aaditagarwal","description":"A pipeline which can detect levels of activeness in real-time, using a single RGB image of a target person","archived":false,"fork":false,"pushed_at":"2020-08-22T07:17:38.000Z","size":78367,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-01-16T16:23:34.474Z","etag":null,"topics":["computer-vision","machine-learning","notification-alert","openpose","pose-estimation"],"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/aaditagarwal.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":"2020-08-21T19:15:22.000Z","updated_at":"2021-11-06T10:29:04.000Z","dependencies_parsed_at":null,"dependency_job_id":"fb8b47fc-7764-49dd-b0c1-0a36b31389f1","html_url":"https://github.com/aaditagarwal/ActiveNet","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/aaditagarwal%2FActiveNet","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/aaditagarwal%2FActiveNet/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/aaditagarwal%2FActiveNet/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/aaditagarwal%2FActiveNet/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/aaditagarwal","download_url":"https://codeload.github.com/aaditagarwal/ActiveNet/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":242151662,"owners_count":20080137,"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","machine-learning","notification-alert","openpose","pose-estimation"],"created_at":"2024-11-16T02:11:28.746Z","updated_at":"2025-03-06T05:22:07.197Z","avatar_url":"https://github.com/aaditagarwal.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# ActiveNet\n\n## Abstract\nOur work builds on the idea to formulate a pipeline which can detect levels of activeness in real-time, using a single RGB image of a target person. It expands the aim to create a generalized solution which works under any/most configurations, be it in an interview, online class, security surveillance, et cetera.\\\nWe introduce a novel pose encoding technique, which encodes the 2-Dimensional keypoints extracted using Human Pose Estimation (HPE) algorithm.\\\nOur alerting mechanism is wrapped around the whole approach; it provides a solution to inhibit low-activeness by sending notification alerts to individuals involved.\n\n##### ActiveNet Multi-Stage Mechanism\n\u003cimg src=\"screenshots/ActiveNet_FlowChart.png\" width=\"700\"\u003e\n\n##### Alert Mechanism\n\u003cimg src=\"screenshots/Alert_System_FlowChart.png\" height=\"250\" \u003e\n\n## Hardware Requirements\nThe pipeline can be run on a CPU, as well as on a dedicated GPU. We recommend using a dedicated GPU to achieve our framerate of ~35fps with a single Nvidia GeForce GTX 1650 graphics card.\n\n## Dependencies Required\n1.\tAnaconda\n2.\tPython3\n3.\tPyTorch\n4.\tscikit-learn\n5.\tOpenCV\n\nNOTE: Dependencies can either be installed individually, or a GPU enabled Anaconda environment can be created from the environment file using the following instructions:\n\n## Execution Instructions\n```\nconda env create -f ActiveNet_Environment.yml\nconda activate ActiveNet\npython demo.py --source \u003cfilename or 0 for webcam\u003e\n```\nNOTE: To run the demo on CPU, add extra flag --cpu to the above command.\n\n#### Read [SLACK_WORKSPACE.md](SLACK_WORKSPACE.md) for information regarding the incoming webhooks.\n\n## Screenshots\n##### Above 75% Activeness Level Prediction\n\u003cimg src=\"screenshots/Above_75_1.png\" width=\"600\"\u003e\n\u003cimg src=\"screenshots/Above_75_2.png\" width=\"600\"\u003e\n\n##### Between 50% and 75% Activeness Level Prediction\n\u003cimg src=\"screenshots/Between_50_75_1.png\" width=\"600\"\u003e\n\n##### Between 25% and 50% Activeness Level Prediction\n\u003cimg src=\"screenshots/Between_25_50_2.png\" width=\"600\"\u003e\n\u003cimg src=\"screenshots/Between_25_50_1.png\" width=\"600\"\u003e\n\n##### Below 25% Activeness Level Prediction\n\u003cimg src=\"screenshots/Below_25_1.png\" width=\"600\"\u003e\n\u003cimg src=\"screenshots/Below_25_2.png\" width=\"600\"\u003e\n\n##### Notification Alert for Below 25% Activeness Level on Desktop\n\u003cimg src=\"screenshots/Slack_Workspace_Desktop.png\" width=\"600\"\u003e\n\n##### Notification Alert for Below 25% Activeness Level on Mobile Device\n\u003cimg src=\"screenshots/Slack_Workspace_Mobile.jpg\" height=\"500\"\u003e\n\n## Contributors\n1.\t[Aitik Gupta](https://github.com/aitikgupta)\\\n\tABV-IIITM, Gwalior\\\n\taitikgupta@gmail.com\n2.\t[Aadit Agarwal](https://github.com/aaditagarwal/)\\\n\tABV-IIITM, Gwalior\\\n\tagarwal.aadit99@gmail.com","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Faaditagarwal%2Factivenet","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Faaditagarwal%2Factivenet","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Faaditagarwal%2Factivenet/lists"}