{"id":13644462,"url":"https://github.com/Daheer/Driving-Environment-Detector","last_synced_at":"2025-04-21T10:33:29.642Z","repository":{"id":38372396,"uuid":"503439993","full_name":"Daheer/Driving-Environment-Detector","owner":"Daheer","description":"Detecting road objects using YOLO CNN Architecture","archived":false,"fork":false,"pushed_at":"2023-11-20T08:19:27.000Z","size":7115,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2024-11-09T17:41:52.175Z","etag":null,"topics":["computer-vision","deep-learning","detection","tensorflow","yolov2"],"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/Daheer.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":"2022-06-14T16:34:35.000Z","updated_at":"2022-08-28T11:46:02.000Z","dependencies_parsed_at":"2024-08-02T01:28:24.898Z","dependency_job_id":null,"html_url":"https://github.com/Daheer/Driving-Environment-Detector","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/Daheer%2FDriving-Environment-Detector","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Daheer%2FDriving-Environment-Detector/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Daheer%2FDriving-Environment-Detector/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Daheer%2FDriving-Environment-Detector/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Daheer","download_url":"https://codeload.github.com/Daheer/Driving-Environment-Detector/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":250040464,"owners_count":21365109,"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","deep-learning","detection","tensorflow","yolov2"],"created_at":"2024-08-02T01:02:05.421Z","updated_at":"2025-04-21T10:33:25.078Z","avatar_url":"https://github.com/Daheer.png","language":"Python","funding_links":[],"categories":["Object Detection Applications"],"sub_categories":[],"readme":"# Driving-Environment-Detector\n\n**Driving-Environment-Detector** recognizes everyday road objects on a road scene. It is based on the You Only Look Once CNN Architecture, specifically the YOLO v2 Darknet 19. \n\n![Yolo v2 Darknet 19](images/yolo_v2_darknet19.png \"Yolo v2 Darknet 19\")\n\n# Model Architecture Plot\n\n[Click to view full architecture](images/yolo_model_architecture.png)\n\n![Yolo Driving Environment Model Architecture](images/yolo_model_architecture_short.png \"Yolo Driving Environment Model Architecture\")\n\n# Built Using\n\n- [Python](https://www.python.org)\n- [Tensorflow](https://www.tensorflow.org)\n- [OpenCV](https://opencv.org/)\n- Others\n\n# Prerequisites and Installation\n\n\u003cul\u003e\n    \u003cdiv\u003e \u003cli\u003e \u003ca href = 'https://www.python.org'\u003e Python \u003c/a\u003e \u003c/li\u003e\n        \n    python driving_environment_detector.py\n        \n\u003c/div\u003e\n\u003c/ul\u003e\n\n# Project Structure\n\n```\n.\n├── README.md\n├── FiraMono-Medium.otf\n├── SIL Open Font License.txt\n├── Images\n│   ├── sample.png\n│   ├── yolo_model_architecture_short.png\n│   ├── yolo_model_architecture.png\n│   ├── yolo v2 darknet19.png\n│   ├── sample_input.png\n│   └── sample_input.png\n├── model data\n│   ├── variables\n│   │   ├── anchors.txt\n│   │   ├── coco_classes.txt\n│   │   ├── pascal_classes.txt\n│   │   ├── saved_model.pb\n│   │   └── yolo_anchors.txt\n│   └── yad2k\n│   │   ├── __pycache__\n│   │   ├── models\n│   │   └── utils\n│   │   │   └── util.py\n├── .gitattributes\n├── driving_environment_detector_voila.ipynb\n├── driving_environment_detector.ipynb\n├── driving_environment_detector.py\n└── requirements.txt\n```\n\n# Usage\n\n\u003e Simply place your video covering a road scene in the top directory. Run the installation code, sip\nsome coffee or take a walk depending on the legth of your video :). When completed, the new video \ncan be found in out/output_video.mp4\n\n# Demo\n\nSample Input               |  Sample Output\n:-------------------------:|:-------------------------:\n![](images/sample_input.png) |  ![](images/sample_output.png)\n\n# References\n\n- [SlimDeblurGAN-Based Motion Deblurring and Marker Detection for Autonomous Drone Landing - Scientific Figure on ResearchGate.](https://www.researchgate.net/figure/YOLOv2-backbone-convolutional-neural-networks-CNN-architecture-The-backbone-network-is_fig3_342941568)\n- [Convolutional Neural Netwokrs](https://www.coursera.org/learn/convolutional-neural-networks/home/)\n\n# Contact\n\nDahir Ibrahim (Deedax Inc) - http://instagram.com/deedax_inc \u003cbr\u003e\nEmail - suhayrid@gmail.com \u003cbr\u003e\nYouTube - https://www.youtube.com/channel/UCqvDiAJr2gRREn2tVtXFhvQ \u003cbr\u003e\nProject Link - https://github.com/Daheer/Driving-Environment-Detector \u003cbr\u003e\nTwitter - https://twitter.com/DeedaxInc\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FDaheer%2FDriving-Environment-Detector","html_url":"https://awesome.ecosyste.ms/projects/github.com%2FDaheer%2FDriving-Environment-Detector","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FDaheer%2FDriving-Environment-Detector/lists"}