Official YOLOv7 Pose vs MediaPipe | Full comparison of real-time Pose Estimation | Which is Faster?
69.4 هزار بار بازدید -
2 سال پیش
-
YOLOv7 Pose estimation vs. MediaPipe:
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:
📚 Blog post Link: https://learnopencv.com/yolov7-pose-v...
🎵 YOLO Master Class Playlist:
YOLO Master Class: Master The Vision
🖥️ On our blog - https://learnopencv.com we also share tutorials and code on topics like Image Processing, Image Classification, Object Detection, Face Detection, Face Recognition, YOLO, Segmentation, Pose Estimation, and many more using OpenCV(Python/C++), PyTorch, and TensorFlow.
🤖 Learn from the experts on AI: Computer Vision and AI Courses
YOU have an opportunity to join the over 5300+ (and counting) researchers, engineers, and students that have benefited from these courses and take your knowledge of computer vision, AI, and deep learning to the next level.🤖
https://opencv.org/courses
#️⃣ Connect with Us #️⃣
📝 Linkedin: LinkedIn: satyamallick
📱 Twitter: Twitter: LearnOpenCV
🔊 Facebook: https://www.facebook.com/profile.php?...
📸 Instagram: Instagram: learnopencv
🔗 Reddit: Reddit: spmallick
🔖Hashtags🔖
#mediapipe #Yolov7 #poseestimation #machinelearning #objectdetection #deeplearning #computervision #learnopencv #opencv
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:
📚 Blog post Link: https://learnopencv.com/yolov7-pose-v...
🎵 YOLO Master Class Playlist:
YOLO Master Class: Master The Vision
🖥️ On our blog - https://learnopencv.com we also share tutorials and code on topics like Image Processing, Image Classification, Object Detection, Face Detection, Face Recognition, YOLO, Segmentation, Pose Estimation, and many more using OpenCV(Python/C++), PyTorch, and TensorFlow.
🤖 Learn from the experts on AI: Computer Vision and AI Courses
YOU have an opportunity to join the over 5300+ (and counting) researchers, engineers, and students that have benefited from these courses and take your knowledge of computer vision, AI, and deep learning to the next level.🤖
https://opencv.org/courses
#️⃣ Connect with Us #️⃣
📝 Linkedin: LinkedIn: satyamallick
📱 Twitter: Twitter: LearnOpenCV
🔊 Facebook: https://www.facebook.com/profile.php?...
📸 Instagram: Instagram: learnopencv
🔗 Reddit: Reddit: spmallick
🔖Hashtags🔖
#mediapipe #Yolov7 #poseestimation #machinelearning #objectdetection #deeplearning #computervision #learnopencv #opencv
2 سال پیش
در تاریخ 1401/08/23 منتشر شده
است.
69,428
بـار بازدید شده