{"id":20880116,"url":"https://github.com/michprac/actor_detection__yolo_model","last_synced_at":"2026-04-29T05:38:51.253Z","repository":{"id":157194608,"uuid":"631218864","full_name":"Michprac/Actor_detection__YOLO_model","owner":"Michprac","description":"Diploma project, generating a YOLO model, recognizing people using YOLO, Maixduino microcontroller","archived":false,"fork":false,"pushed_at":"2024-07-01T15:34:23.000Z","size":4706,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-12-28T22:57:40.171Z","etag":null,"topics":["embedded-systems","micropython","recognition-neural-network","yolo"],"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/Michprac.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":"2023-04-22T10:15:02.000Z","updated_at":"2024-07-01T15:34:27.000Z","dependencies_parsed_at":"2024-01-04T22:44:52.076Z","dependency_job_id":"b248c194-5304-4a41-bb22-2f2ea3e0b886","html_url":"https://github.com/Michprac/Actor_detection__YOLO_model","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/Michprac/Actor_detection__YOLO_model","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Michprac%2FActor_detection__YOLO_model","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Michprac%2FActor_detection__YOLO_model/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Michprac%2FActor_detection__YOLO_model/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Michprac%2FActor_detection__YOLO_model/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Michprac","download_url":"https://codeload.github.com/Michprac/Actor_detection__YOLO_model/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Michprac%2FActor_detection__YOLO_model/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":32412890,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-29T05:20:56.964Z","status":"ssl_error","status_checked_at":"2026-04-29T05:19:54.749Z","response_time":110,"last_error":"SSL_read: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"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":["embedded-systems","micropython","recognition-neural-network","yolo"],"created_at":"2024-11-18T07:19:04.798Z","updated_at":"2026-04-29T05:38:51.238Z","avatar_url":"https://github.com/Michprac.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Device for detecting a specific person based on the YOLO model\n\nGenerated model name is model-20565.nncase__MAIXHUB_TOM_CRUISE_MODEL_200_images\n\nThe project was created using the maixhub.com page.\nThe main goal of this work was to test the possibility of face detection technology on the Kendryte K210 chip.\n\nThe chip Kendryte K210 can be programmed on the microPython language. \n\nThe neural network that was used in this project is YOLOv2. To make a model you need have a dataset of the person you have chosen. In my case that was Tom Cruise. In addition, I made later model for detecting 2 persons. On the images below you can see results of detection.\n\n# Images\n\u003cp float=\"left\"\u003e\n  \u003cimg src =\"model_one_actor_v2.png\" width=\"400\" \u003e\n  \u003cimg src =\"/model_two_actors_v2.png\" width=\"410\" \u003e\n\u003c/p\u003e\n\n# Box\nThe casing was also designed to connect all the components together. The designed housing also includes a place for a 9V battery and a hole for the screen:\n\n\u003cp align = \"center\"\u003e\n  \u003cimg src =\"Zaprojektowana_obudowa.PNG\" width=\"500\" \u003e\n\u003c/p\u003e\n\n\n\n# Testing the model with different image filters\nAlso I made some kind of analysis of working of this system under influence of external factors. Below you can see some graphs. \n\nFor example on this graph you can see how different types of transformations of image can influence on detection:\n\n\u003cimg src =\"/Laplacian_fixed.png\" \u003e\n\nOn this graph you can see how the brightness of the displayed actor's photo affects the probability of detection:\n\n\u003cimg src =\"/Jansosc_przykladowy_numer2.png\" \u003e\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmichprac%2Factor_detection__yolo_model","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmichprac%2Factor_detection__yolo_model","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmichprac%2Factor_detection__yolo_model/lists"}