Detect and annotate poses in images and videos
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Detect human poses in images
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Detect and visualize human poses in images and videos
ViTPose Transformers is a cutting-edge pose estimation tool designed to detect and annotate human poses in images and videos. Built using transformer-based architecture, it leverages advanced AI technology to deliver highly accurate results. The model is optimized for efficiency and scalability, making it suitable for both real-time and batch processing applications.
pip install vitpose-transformers
from vitpose import ViTPose, draw_kps
model = ViTPose()
img = cv2.imread("input.jpg")
results = model.detect(img)
output = draw_kps(img, results)
cv2.imwrite("output.jpg", output)
1. What devices does ViTPose Transformers support?
ViTPose Transformers is designed to work on CPUs, GPUs, and specialized hardware like TPUs, ensuring compatibility with a wide range of devices.
2. Can I use ViTPose Transformers for real-time video processing?
Yes, ViTPose Transformers is optimized for real-time video processing and can handle live webcam feeds with minimal latency.
3. Does ViTPose Transformers support multi-person pose estimation?
Yes, it supports multi-person pose estimation, detecting and annotating poses for multiple individuals in a single frame.