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YOLOv7 Pose estimation vs. MediaPipe: Comparison for Human Pose Estimation.
In this video, we make an extensive comparison of YOLOv7-Pose vs. MediaPipe
Our Conclusion:
-YOLOv7 is a multi-person detection framework. MediaPipe can not beat YOLOv7 in this category.
-MediaPipe is observed to be producing good results on low-resolution inputs compared to YOLOv7.
-It is faster than YOLOv7 on CPU inference.
-MediaPipe is also comparatively good at detecting far-away objects (persons in our case). However, when it comes to occlusion, YOLOv7 wins.
-Moreover, YOLOv7 can harness the power of GPU.
In this video, you will get answers to the following questions
✅What is YOLOv7 Pose?
✅What is MediaPipe Pose?
✅How is YOLOv7 Pose different from MediaPipe?
✅How YOLOv7 Pose compares to MediaPipe?
❓FAQ
How does human Pose Estimation work?
What is MediaPipe Pose Estimation?
Can MediaPipe detect multiple people?
What is human pose estimation?
⭐️ Time Stamps:⭐️
0:00-00:30: Introduction
00:30-01:22: What is Human Pose Estimation
01:22-01:50: Applications of Human Pose Estimation
01:50-01:58: Popular Algorithms of Human Pose Estimation
01:58-03:18: What is YOLO Pose
03:18-03:35: YOLO Pose Architecture
03:35-03:46: YOLOv7 Architecture
03:46-04:04: MediaPipe
04:04-04:09: YOLOv7-Pose vs MediaPipe
04:09- 08:01: Result Comparison between YOLOv7-Pose and MediaPipe
08:01- 09:09: Summary
Resources:
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