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just their pointers\r\n    \r\n    GIT_LFS_SKIP_SMUDGE=1 git clone https://huggingface.co/spaces/prithivMLmods/YOLOX-CPU\r\n\r\n🚨 New Release: Ultralytics 8.2.51\r\n🍺Live Space for Demo : prithivMLmods/YOLOX-CPU, Duplicate the Space to avoid queuing issues.\r\n\r\n## Sample Demo \r\n![alt text](docs/YOLO.gif)\r\n\r\n👉🏻For HPC, use A100/T4 under controlled conditions.\r\n👉🏻Speed Estimation, Object Counting, Distance Calculation, Workout Monitoring, Heatmaps\r\n\r\nUltralytics dropped the YOLOv8 - #Ultralytics 8.2.51 🔥, YOLOv8 is designed to be fast, accurate, and easy to use, making it an excellent choice for a wide range of object detection and tracking, instance segmentation, image classification and pose estimation tasks.\r\n\r\n🔗 https://pypi.org/project/ultralytics/8.2.51/\r\n\r\n    🚀More Features You can try:\r\n    ✅ Classes selection support added\r\n    ✅ Live FPS display in the sidebar\r\n    ✅ Webcam and video support added\r\n    ✅ Confidence and NMS threshold option to modify.\r\n    ✅ Segmentation, detection, and pose models support added.\r\n\r\n🙀Ultralytics Live inference: https://docs.ultralytics.com/guides/streamlit-live-inference/\r\n\r\n    from ultralytics import solutions\r\n    solutions.inference()\r\n    ### Make sure to run the file using command `streamlit run \u003cfile-name.py\u003e`\r\n\r\n⚡yolo streamlit-predict\r\n\r\n👉🏻Advantages of Live Inference\r\n\r\n    ☑️ Seamless Real-Time Object Detection: Streamlit combined with YOLOv8 enables real-time object detection directly from your webcam feed. This allows for immediate analysis and insights, making it ideal for applications requiring instant feedback.\r\n    ☑️Efficient Resource Utilization: YOLOv8 optimized algorithm ensure high-speed processing with minimal computational resources.\r\n    \r\n🙀Ultralytics feature Models: https://docs.ultralytics.com/models/, Ultralytics new Solutions: https://docs.ultralytics.com/solutions/\r\n\r\n## Demo Screenshot 1\r\n\r\n![alt text](docs/ui3.png)\r\n\r\n## Demo Screenshot 2\r\n\r\n![alt text](docs/ui4.png)\r\n\r\n## Working Demo Gif 3\r\n\r\n![alt text](models/demo.gif)\r\n\r\n👉🏻Official Documentation:\r\nUltralytics YOLOv8 Documentation: Refer to the official YOLOv8 documentation for comprehensive guides and insights on various computer vision tasks and projects. 🔗 https://docs.ultralytics.com/ .\r\n\r\n.\r\n\r\n.\r\n\r\n.@prithivmlmods\r\n\r\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fprithivsakthiur%2Fyolox-cpu","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fprithivsakthiur%2Fyolox-cpu","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fprithivsakthiur%2Fyolox-cpu/lists"}