Object Detection and Hand Pose Estimation with Python

سرفصل های دوره

1. Welcome

1. Start

2. Introduction - Hand Pose Estimation with MediaPipe and Python

1. Introduction

3. How it Works - Hand Pose Estimation with MediaPipe and Python

1. How it Works

4. Install Anaconda and Jupyter - Hand Pose Estimation with MediaPipe and Python

1. Install Anaconda and Jupyter Notebook

5. Install and Import Dependencies - Hand Pose Estimation with MediaPipe and Python

1. Install and Import Dependencies

6. Make Detections in Real Time - Hand Pose Estimation with MediaPipe and Python

1. Make Detections in Real Time

7. Applying MediaPipe Hand Pose - Hand Pose Estimation with MediaPipe and Python

1. Applying MediaPipe Hand Pose

8. Rendering Using OpenCV - Hand Pose Estimation with MediaPipe and Python

1. Rendering Using OpenCV

9. Applying Styling to Detections- Hand Pose Estimation with MediaPipe and Python

1. Applying Styling to MediaPipe Detections

10. Horizontally Flipping Images - Hand Pose Estimation with MediaPipe and Python

1. Horizontally Flipping Images using OpenCV

11. Save Images using OpenCV - Hand Pose Estimation with MediaPipe and Python

1. Save Images using OpenCV

12. Introduction - 3D Object Detection with MediaPipe and OpenCV, Python

1. Introduction

13. Import and Explanations - 3D Object Detection with MediaPipe and OpenCV, Python

1. Import and Explanation Operations

14. Apply Object Detection - 3D Object Detection with MediaPipe and OpenCV, Python

1. Applying 3D Object Detection

15. Conclusion - 3D Object Detection with MediaPipe and OpenCV, Python

1. Conclusion

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تولید کننده: Udemy