{"id":20962181,"url":"https://github.com/sarvesh30112002/gridhtm---anomaly-detection","last_synced_at":"2026-04-16T15:02:35.869Z","repository":{"id":209031298,"uuid":"723064789","full_name":"Sarvesh30112002/GridHTM---Anomaly-Detection","owner":"Sarvesh30112002","description":"This project explores the potential of the Hierarchical Temporal Memory (HTM) algorithm for this purpose, aiming to address challenges such as noise, concept drift, and unknown anomalies. We propose a specialized variant, \"Grid HTM,\" designed to enhance video anomaly detection, making it more adaptive and reliable. ","archived":false,"fork":false,"pushed_at":"2023-11-24T15:57:26.000Z","size":17,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-01-20T00:53:43.245Z","etag":null,"topics":["grid","gridhtm","htm"],"latest_commit_sha":null,"homepage":"","language":"Python","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/Sarvesh30112002.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}},"created_at":"2023-11-24T15:40:51.000Z","updated_at":"2024-05-06T08:03:08.000Z","dependencies_parsed_at":"2023-12-10T11:44:32.531Z","dependency_job_id":null,"html_url":"https://github.com/Sarvesh30112002/GridHTM---Anomaly-Detection","commit_stats":{"total_commits":7,"total_committers":1,"mean_commits":7.0,"dds":0.0,"last_synced_commit":"7522a649194db042b65cd65078d1bfbb976ce946"},"previous_names":["sarvesh30112002/gridhtm---anomaly-detection"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Sarvesh30112002%2FGridHTM---Anomaly-Detection","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Sarvesh30112002%2FGridHTM---Anomaly-Detection/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Sarvesh30112002%2FGridHTM---Anomaly-Detection/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Sarvesh30112002%2FGridHTM---Anomaly-Detection/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Sarvesh30112002","download_url":"https://codeload.github.com/Sarvesh30112002/GridHTM---Anomaly-Detection/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":243358306,"owners_count":20277995,"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":["grid","gridhtm","htm"],"created_at":"2024-11-19T02:23:59.338Z","updated_at":"2025-12-27T19:59:17.405Z","avatar_url":"https://github.com/Sarvesh30112002.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# GridHTM---Anomaly-Detection\n\n# Grid HTM - Used VIRAT Dataset\n![](clip.gif)\n\nThis repo depends on htm.core (https://github.com/htm-community/htm.core)\n\n###Setup\nTo clone the repo and htm.core:\n```commandline\ngit submodule update --init --recursive\n```\nTo build and install htm.core, which requires cmake and more (see https://github.com/htm-community/htm.core):\n\n(default)\n```commandline\ncd htm.core/\npython setup.py install --user --force\n```\n(Anaconda)\n```commandline\ncd htm.core/\npython setup.py install\n```\n### Running\nTo run:\n```commandline\npython main.py segmentedVideoFile settingsFile -o outputName\n```\nWhere `segmentedVideoFile` is the path to a segmented video file (unless code is modified, it can only contain one class of objects) and\n`settingsFile` is the path to a settings json file, see `surveillance_experiment_params.json` for an example.\n`outputName` is the name of the resulting output files that are generated.\n\n\nHelp:\n```commandline\npython main.py -h\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsarvesh30112002%2Fgridhtm---anomaly-detection","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsarvesh30112002%2Fgridhtm---anomaly-detection","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsarvesh30112002%2Fgridhtm---anomaly-detection/lists"}