{"id":15637964,"url":"https://github.com/rizwanmunawar/yolov5-object-tracking","last_synced_at":"2025-04-05T21:08:03.303Z","repository":{"id":62347436,"uuid":"535270517","full_name":"RizwanMunawar/yolov5-object-tracking","owner":"RizwanMunawar","description":"YOLOv5 Object Tracking + Detection + Object Blurring + Streamlit Dashboard Using OpenCV, PyTorch and Streamlit","archived":false,"fork":false,"pushed_at":"2025-02-08T07:48:20.000Z","size":4362,"stargazers_count":114,"open_issues_count":4,"forks_count":25,"subscribers_count":2,"default_branch":"main","last_synced_at":"2025-03-29T20:05:57.822Z","etag":null,"topics":["computer-vision","object-detection","object-tracking","streamlit-dashboard","yolov5"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"agpl-3.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/RizwanMunawar.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":".github/FUNDING.yml","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},"funding":{"github":null,"patreon":null,"open_collective":null,"ko_fi":null,"tidelift":null,"community_bridge":null,"liberapay":null,"issuehunt":null,"lfx_crowdfunding":null,"polar":null,"buy_me_a_coffee":"muhammadrizwanm","thanks_dev":null,"custom":null}},"created_at":"2022-09-11T11:01:43.000Z","updated_at":"2025-03-11T04:13:02.000Z","dependencies_parsed_at":"2024-08-02T01:17:47.447Z","dependency_job_id":"f90756b3-e764-41b7-8994-19a1de46738b","html_url":"https://github.com/RizwanMunawar/yolov5-object-tracking","commit_stats":{"total_commits":19,"total_committers":2,"mean_commits":9.5,"dds":"0.21052631578947367","last_synced_commit":"822775161f65f5bc483bbb724f7ad3bff0e58a0f"},"previous_names":[],"tags_count":1,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/RizwanMunawar%2Fyolov5-object-tracking","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/RizwanMunawar%2Fyolov5-object-tracking/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/RizwanMunawar%2Fyolov5-object-tracking/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/RizwanMunawar%2Fyolov5-object-tracking/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/RizwanMunawar","download_url":"https://codeload.github.com/RizwanMunawar/yolov5-object-tracking/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":247399877,"owners_count":20932876,"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","object-detection","object-tracking","streamlit-dashboard","yolov5"],"created_at":"2024-10-03T11:16:21.714Z","updated_at":"2025-04-05T21:08:03.277Z","avatar_url":"https://github.com/RizwanMunawar.png","language":"Python","funding_links":["https://buymeacoffee.com/muhammadrizwanm"],"categories":[],"sub_categories":[],"readme":"# yolov5-object-tracking\n\n### New Features\n- YOLOv5 Object Tracking Using Sort Tracker\n- Added Object blurring Option\n- Added Support of Streamlit Dashboard\n- Code can run on Both (CPU \u0026 GPU)\n- Video/WebCam/External Camera/IP Stream Supported\n\n### Pre-Requsities\n- Python 3.9 (Python 3.7/3.8 can work in some cases)\n\n### Steps to run Code\n1 - Clone the repository\n```\ngit clone https://github.com/RizwanMunawar/yolov5-object-tracking.git\n```\n\n2 - Goto the cloned folder.\n```\ncd yolov5-object-tracking\n```\n\n3 - Create a virtual envirnoment (Recommended, If you dont want to disturb python packages)\n```\n### For Linux Users\npython3 -m venv yolov5objtracking\nsource yolov5objtracking/bin/activate\n\n### For Window Users\npython3 -m venv yolov5objtracking\ncd yolov5objtracking\ncd Scripts\nactivate\ncd ..\ncd ..\n```\n\n4 - Upgrade pip with mentioned command below.\n```\npip install --upgrade pip\n```\n\n5 - Install requirements with mentioned command below.\n```\npip install -r requirements.txt\n```\n\n6 - Run the code with mentioned command below.\n```\n#for detection only\npython ob_detect.py --weights yolov5s.pt --source \"your video.mp4\"\n\n#for detection of specific class (person)\npython ob_detect.py --weights yolov5s.pt --source \"your video.mp4\" --classes 0\n\n#for object detection + object tracking\npython obj_det_and_trk.py --weights yolov5s.pt --source \"your video.mp4\"\n\n#for object detection + object tracking + object blurring\npython obj_det_and_trk.py --weights yolov5s.pt --source \"your video.mp4\" --blur-obj\n\n#for object detection + object tracking + object blurring + different color for every bounding box\npython obj_det_and_trk.py --weights yolov5s.pt --source \"your video.mp4\" --blur-obj --color-box\n\n#for object detection + object tracking of specific class (person)\npython obj_det_and_trk.py --weights yolov5s.pt --source \"your video.mp4\" --classes 0\n```\n\n7 - Output file will be created in the working-dir/runs/detect/exp with original filename\n\n### Streamlit Dashboard\n- If you want to run detection on streamlit app (Dashboard), you can use mentioned command below.\n\n\u003cb\u003eNote:\u003c/b\u003e Make sure, to add video in the \u003cb\u003eyolov5-object-tracking\u003c/b\u003e folder, that you want to run on streamlit dashboard. Otherwise streamlit server will through an error.\n```\npython -m streamlit run app.py\n```\n\n\u003ctable\u003e\n  \u003ctr\u003e\n    \u003ctd\u003eYOLOv5 Object Detection\u003c/td\u003e\n    \u003ctd\u003eYOLOv5 Object Tracking\u003c/td\u003e\n    \u003ctd\u003eYOLOv5 Object Tracking + Object Blurring\u003c/td\u003e\n    \u003ctd\u003eYOLOv5 Streamlit Dashboard\u003c/td\u003e\n  \u003c/tr\u003e\n  \u003ctr\u003e\n    \u003ctd\u003e\u003cimg src=\"https://user-images.githubusercontent.com/62513924/189525324-9aaf4b60-9336-41c3-8a27-8722bb7da731.png\"\u003e\u003c/td\u003e\n     \u003ctd\u003e\u003cimg src=\"https://user-images.githubusercontent.com/62513924/189525332-1e84b4d5-ae4e-4c1b-9498-0ec1d4ad4bd7.png\"\u003e\u003c/td\u003e\n     \u003ctd\u003e\u003cimg src=\"https://user-images.githubusercontent.com/62513924/189525328-f85ef474-e964-4d79-8f75-78ad4e5397d4.png\"\u003e\u003c/td\u003e\n     \u003ctd\u003e\u003cimg src=\"https://user-images.githubusercontent.com/62513924/189525342-8d4d81f4-5e3a-45aa-9972-5f5de1c72159.png\"\u003e\u003c/td\u003e\n  \u003c/tr\u003e\n \u003c/table\u003e\n\n### References\n - https://github.com/ultralytics/yolov5\n - https://github.com/abewley/sort\n \n### My Medium Articles\n1. [YOLOv7 Training on Custom Data](https://medium.com/augmented-startups/yolov7-training-on-custom-data-b86d23e6623) – Guide to training YOLOv7 on custom datasets.\n2. [Roadmap for Computer Vision Engineer](https://medium.com/augmented-startups/roadmap-for-computer-vision-engineer-45167b94518c) – A step-by-step career guide for aspiring computer vision engineers.\n3. [YOLOR or YOLOv5: Which One is Better?](https://medium.com/augmented-startups/yolor-or-yolov5-which-one-is-better-2f844d35e1a1) – Comparative analysis of YOLOR vs. YOLOv5 for model selection.\n4. [Train YOLOR on Custom Data](https://medium.com/augmented-startups/train-yolor-on-custom-data-f129391bd3d6) – Instructions for customizing YOLOR on unique datasets.\n5. [Develop an Analytics Dashboard Using Streamlit](https://medium.com/augmented-startups/develop-an-analytics-dashboard-using-streamlit-e6282fa5e0f) – Tutorial on building data dashboards with Streamlit.\n6. [Jetson Nano in Computer Vision Solutions](https://medium.com/augmented-startups/jetson-nano-is-rapidly-involving-in-computer-vision-solutions-5f588cb7c0db) – Insight on Jetson Nano's role in embedded AI projects.\n7. [How Computer Vision Products Help in Warehouses](https://chr043416.medium.com/how-can-computer-vision-products-help-in-warehouses-aa1dd95ec79c) – Overview of computer vision applications in warehouse efficiency.\n\nFor more details, you can reach out to me on [Medium](https://chr043416.medium.com/) or can connect with me on [LinkedIn](https://www.linkedin.com/in/muhammadrizwanmunawar/)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frizwanmunawar%2Fyolov5-object-tracking","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Frizwanmunawar%2Fyolov5-object-tracking","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frizwanmunawar%2Fyolov5-object-tracking/lists"}