{"id":49923023,"url":"https://github.com/omigutin/thermal_tracker","last_synced_at":"2026-05-16T21:40:25.198Z","repository":{"id":355641197,"uuid":"1228658668","full_name":"omigutin/thermal_tracker","owner":"omigutin","description":"Thermal object tracking system for infrared video. Supports manual target selection, automatic detection, OpenCV/NN-based processing stages, tracking, target recovery, configurable dev GUI, and headless runtime for future Orange Pi / shared-memory deployment.","archived":false,"fork":false,"pushed_at":"2026-05-12T08:01:58.000Z","size":5257,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":0,"default_branch":"main","last_synced_at":"2026-05-12T10:08:03.783Z","etag":null,"topics":["computer-vision","infrared","neural-network","object-tracking","opencv","orange-pi","python","shared-memory","target-tracking","thermal-imaging","video-processing","yolo"],"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/omigutin.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,"zenodo":null,"notice":null,"maintainers":null,"copyright":null,"agents":null,"dco":null,"cla":null}},"created_at":"2026-05-04T08:35:16.000Z","updated_at":"2026-05-12T08:02:02.000Z","dependencies_parsed_at":null,"dependency_job_id":null,"html_url":"https://github.com/omigutin/thermal_tracker","commit_stats":null,"previous_names":["omigutin/thermal_tracker"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/omigutin/thermal_tracker","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/omigutin%2Fthermal_tracker","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/omigutin%2Fthermal_tracker/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/omigutin%2Fthermal_tracker/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/omigutin%2Fthermal_tracker/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/omigutin","download_url":"https://codeload.github.com/omigutin/thermal_tracker/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/omigutin%2Fthermal_tracker/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":33120037,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-16T18:38:32.183Z","status":"ssl_error","status_checked_at":"2026-05-16T18:38:29.903Z","response_time":115,"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":["computer-vision","infrared","neural-network","object-tracking","opencv","orange-pi","python","shared-memory","target-tracking","thermal-imaging","video-processing","yolo"],"created_at":"2026-05-16T21:40:24.423Z","updated_at":"2026-05-16T21:40:25.193Z","avatar_url":"https://github.com/omigutin.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Thermal Tracker\n\nThermal Tracker — это проект для сопровождения объектов на тепловизионном видео.\n\nЕсли говорить просто: система получает видеокадры, ищет на них нужный объект, удерживает его в фокусе и сообщает результат оператору.\n\n## С чего начать\n\n1. Прочитайте [Быстрый старт](docs/quick_start.md).\n2. Посмотрите [Режимы запуска](docs/run_modes.md).\n3. Для настройки качества перейдите в [Пресеты](docs/presets.md).\n4. Чтобы понять внутреннюю логику, откройте [Стадии обработки](docs/stages.md).\n\n## Основные документы\n\n- [Быстрый старт](docs/quick_start.md)\n- [Режимы запуска](docs/run_modes.md)\n- [Конфигурация](docs/configuration.md)\n- [Пресеты](docs/presets.md)\n- [Стадии обработки](docs/stages.md)\n- [Сценарии](docs/scenarios.md)\n- [IRST-трекинг](docs/irst_tracking.md)\n- [Архитектура](docs/architecture.md)\n- [Структура проекта](docs/project_structure.md)\n- [Термины](docs/terminology.md)\n- [Диагностика проблем](docs/troubleshooting.md)\n\n## Коротко о составе проекта\n\n- `src/thermal_tracker/core` — логика обработки кадров, трекинга и восстановления цели.\n- `src/thermal_tracker/server` — серверный запуск, gateway и runtime worker.\n- `src/thermal_tracker/client` — desktop-интерфейс и web-клиент.\n\n## Лицензия\n\nMIT.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fomigutin%2Fthermal_tracker","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fomigutin%2Fthermal_tracker","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fomigutin%2Fthermal_tracker/lists"}