https://github.com/prithivsakthiur/yolox-cpu

Ultralytics, YOLO v8 - Computer Vision
https://github.com/prithivsakthiur/yolox-cpu

counting heatmap-visualization inference object object-detection speedestimation tensorflow ultralytics video videointelligence workout-tracker yolo yolov8

Last synced: 3 months ago
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Ultralytics, YOLO v8 - Computer Vision

• Host: GitHub
• URL: https://github.com/prithivsakthiur/yolox-cpu
• Owner: PRITHIVSAKTHIUR
• License: apache-2.0
• Created: 2024-07-09T02:28:37.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2024-07-10T02:54:20.000Z (about 1 year ago)
• Last Synced: 2025-03-14T11:51:13.815Z (7 months ago)
• Topics: counting, heatmap-visualization, inference, object, object-detection, speedestimation, tensorflow, ultralytics, video, videointelligence, workout-tracker, yolo, yolov8
• Language: Python
• Homepage: https://huggingface.co/spaces/prithivMLmods/YOLOX-CPU
• Size: 65.8 MB
• Stars: 3
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

          
---

title: YOLOX CPU

emoji: 🍺

colorFrom: green

colorTo: gray

sdk: gradio

sdk_version: 4.37.2

app_file: app.py

pinned: false

license: creativeml-openrail-m

short_description: Ultralytics | YOLO v8

header: mini

---

Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

![alt text](docs/ui.gif)

Space Link : https://huggingface.co/spaces/prithivMLmods/YOLOX-CPU

    

    # Make sure you have git-lfs installed (https://git-lfs.com)

    git lfs install

    

    git clone https://huggingface.co/spaces/prithivMLmods/YOLOX-CPU

    

    # If you want to clone without large files - just their pointers

    

    GIT_LFS_SKIP_SMUDGE=1 git clone https://huggingface.co/spaces/prithivMLmods/YOLOX-CPU

🚨 New Release: Ultralytics 8.2.51

🍺Live Space for Demo : prithivMLmods/YOLOX-CPU, Duplicate the Space to avoid queuing issues.

## Sample Demo 

![alt text](docs/YOLO.gif)

👉🏻For HPC, use A100/T4 under controlled conditions.

👉🏻Speed Estimation, Object Counting, Distance Calculation, Workout Monitoring, Heatmaps

Ultralytics 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.

🔗 https://pypi.org/project/ultralytics/8.2.51/

    🚀More Features You can try:

    ✅ Classes selection support added

    ✅ Live FPS display in the sidebar

    ✅ Webcam and video support added

    ✅ Confidence and NMS threshold option to modify.

    ✅ Segmentation, detection, and pose models support added.

🙀Ultralytics Live inference: https://docs.ultralytics.com/guides/streamlit-live-inference/

    from ultralytics import solutions

    solutions.inference()

    ### Make sure to run the file using command `streamlit run `

⚡yolo streamlit-predict

👉🏻Advantages of Live Inference

    ☑️ 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.

    ☑️Efficient Resource Utilization: YOLOv8 optimized algorithm ensure high-speed processing with minimal computational resources.

    

🙀Ultralytics feature Models: https://docs.ultralytics.com/models/, Ultralytics new Solutions: https://docs.ultralytics.com/solutions/

## Demo Screenshot 1

![alt text](docs/ui3.png)

## Demo Screenshot 2

![alt text](docs/ui4.png)

## Working Demo Gif 3

![alt text](models/demo.gif)

👉🏻Official Documentation:

Ultralytics YOLOv8 Documentation: Refer to the official YOLOv8 documentation for comprehensive guides and insights on various computer vision tasks and projects. 🔗 https://docs.ultralytics.com/ .

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.@prithivmlmods