Hello trend,
This is Satya Mallick from LearnOpenCV.com.
There's a new kid on the block for Human Pose Estimation - YOLOv7 Pose. In today's information packed post we will be comparing YOLOv7 Pose with the popular pose estimation model provided by Mediapipe. Check out one such result below:
Did you notice how mediapipe failed to detect the person? We were surprized by this result as well and obviously wanted to dig deeper and find out if the new YOLOv7 pose model beats mediapipe on different types of videos.
We ran multiple experiments to compare them and found some interesting patterns. To name a few, we checked how the 2 methods perform under various conditions like:
- Occlusion
- Low Light
- Scale Variations
- Difficult Poses
- Dancing
- Swimming and more. . .
Do we have a mediapipe killer? Check out the blog post to find out the comparison results 👉
| YOLOv7 vs Mediapipe for Pose Estimation |
We have provided scripts to run YOLOv7 as well as mediapipe that you can check out from the link below. If you like our resources, do star us on GitHub to say thanks!
| Download Code (GitHub) |
Secret: Mediapipe Python solutions doesn't support multi person pose estimation but YOLOv7 does.
Do you know of a better Pose Estimation method that we should consider comparing mediapipe and yolov7 with? Reply to the email and we'll add it to our pipeline.
Cheers!
Satya
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