Detect and pose estimate people in images and videos
Small Space to test ViTPose
Detect 3D object poses in images
Detect and annotate poses in images and videos
Draw hand and pose landmarks on live webcam feed
Detect objects and poses in images
Transform pose in an image using another image
Generate pose estimates for humans, vehicles, and animals in images
Estimate camera poses from two images
Detect human poses in videos
Visualize pose-format components and points.
Track body poses using a webcam
Analyze your squat form with real-time feedback
ViTPose Transformers is a state-of-the-art pose estimation model designed to detect and estimate the poses of people in images and videos. It leverages the power of Vision Transformers (ViT) to achieve high accuracy and efficient processing. This tool is particularly useful for applications requiring real-time pose detection and analysis.
• Real-Time Processing: Capable of processing images and videos in real-time for immediate pose estimation.
• High Accuracy: Utilizes Vision Transformer architecture to deliver precise pose detection even in complex scenarios.
• Multi-Person Support: Detects and estimates poses for multiple individuals in a single frame.
• Versatility: Works seamlessly with images, videos, and live camera feeds.
• Integration Friendly: Compatible with popular libraries like OpenCV for easy integration into existing projects.
What is the primary function of ViTPose Transformers?
ViTPose Transformers is designed to detect human poses in images and videos by identifying keypoints such as shoulders, elbows, knees, and ankles. It is optimized for real-time performance and accuracy.
Can ViTPose Transformers handle multiple people in a single image?
Yes, ViTPose Transformers supports multi-person pose estimation, making it suitable for scenes with multiple individuals.
Do I need special hardware to run ViTPose Transformers?
No, ViTPose Transformers can run efficiently on standard computing hardware, though a GPU is recommended for faster processing.