{"id":16937233,"url":"https://github.com/tancnle/docker-darknet","last_synced_at":"2025-04-11T19:09:33.501Z","repository":{"id":147468453,"uuid":"181125320","full_name":"tancnle/docker-darknet","owner":"tancnle","description":"YOLO Image Dectection with Darknet","archived":false,"fork":false,"pushed_at":"2020-05-17T13:16:58.000Z","size":437,"stargazers_count":20,"open_issues_count":0,"forks_count":10,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-03-25T15:02:17.467Z","etag":null,"topics":["docker","object-detection","yolo"],"latest_commit_sha":null,"homepage":"","language":"Dockerfile","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"wtfpl","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/tancnle.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}},"created_at":"2019-04-13T05:26:26.000Z","updated_at":"2025-01-02T13:38:32.000Z","dependencies_parsed_at":null,"dependency_job_id":"b86dcaaf-a765-46ba-8488-b05cbadb15b0","html_url":"https://github.com/tancnle/docker-darknet","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/tancnle%2Fdocker-darknet","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tancnle%2Fdocker-darknet/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tancnle%2Fdocker-darknet/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tancnle%2Fdocker-darknet/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/tancnle","download_url":"https://codeload.github.com/tancnle/docker-darknet/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":248465341,"owners_count":21108244,"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":["docker","object-detection","yolo"],"created_at":"2024-10-13T20:59:04.878Z","updated_at":"2025-04-11T19:09:33.496Z","avatar_url":"https://github.com/tancnle.png","language":"Dockerfile","funding_links":[],"categories":[],"sub_categories":[],"readme":"# YOLO Object Detection with Darknet\n\n![Docker Automated build](https://img.shields.io/docker/cloud/automated/tancnle/darknet-yolo.svg?style=popout-square)\n![Docker Cloud Build Status](https://img.shields.io/docker/cloud/build/tancnle/darknet-yolo.svg?style=popout-square)\n\nA convenient way to do object detection using YOLOv3/YOLOv4 model via Docker.\n\n## Usage\n\nRun object detection on an image\n\n```bash\n# YOLO v3\ndocker run --volume ${PWD}/output:/output \\\n           --interactive --rm tancnle/darknet-yolo:3 \u003c interesting.png\n\n# YOLO v4\ndocker run --volume ${PWD}/output:/output \\\n           --interactive --rm tancnle/darknet-yolo:4 \u003c interesting.png\n```\n\nView the image with polygon-bounding boxes\n\n```bash\nopen output/prediction.png\n```\n\n## Example Output\n\n| Original | YOLO v3 | YOLO v4 |\n| :-: | :-: | :-: |\n| ![original](https://github.com/tancnle/docker-darknet/raw/master/examples/storefront.jpg) | ![YOLO v3](https://github.com/tancnle/docker-darknet/raw/master/examples/detected-storefront.jpg) | ![YOLO v4](https://github.com/tancnle/docker-darknet/raw/master/examples/detected-storefront-v4.jpg) |\n\n```bash\n# YOLO v3\nLoading weights from yolov3.weights...Done!\n/tmp/image: Predicted in 19.697341 seconds.\npottedplant: 98%\nbicycle: 89%\nbicycle: 73%\n\n# YOLO v4\nLoading weights from yolov4.weights...mini_batch = 1, batch = 8, time_steps = 1, train = 0\nnms_kind: greedynms (1), beta = 0.600000\nnms_kind: greedynms (1), beta = 0.600000\nnms_kind: greedynms (1), beta = 0.600000\nDone! Loaded 162 layers from weights-file\nNot compiled with OpenCV, saving to predictions.png instead\n\n seen 64, trained: 32032 K-images (500 Kilo-batches_64)\n/tmp/image: Predicted in 22087.479000 milli-seconds.\npottedplant: 98%\nbicycle: 38%\nbicycle: 47%\nbicycle: 53%\nperson: 55%\nperson: 67%\n```\n\n## References\n* YOLO: Real-Time Object Detection (https://pjreddie.com/darknet/yolo/)\n* Darknet (https://github.com/pjreddie/darknet)\n* Darknet (https://github.com/AlexeyAB/darknet)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftancnle%2Fdocker-darknet","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ftancnle%2Fdocker-darknet","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftancnle%2Fdocker-darknet/lists"}