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Pose Estimation
ViTPose Transformers

ViTPose Transformers

Detect and annotate poses in images and videos

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ViTPose Transformers

Detect and visualize human poses in images and videos

1

What is ViTPose Transformers ?

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.

Features

  • Transformer-Based Architecture: Utilizes self-attention mechanisms for robust pose detection.
  • Real-Time Processing: Capable of processing video streams with minimal latency.
  • Multi-Person Support: Detects poses of multiple individuals in a single frame.
  • High Accuracy: Delivers precise keypoints detection even in complex scenarios.
  • Flexible Input: Supports images, videos, and webcam feeds.
  • Lightweight Model: Optimized for deployment on edge devices.

How to use ViTPose Transformers ?

  1. Install the Library: Use pip to install the package.
    pip install vitpose-transformers
    
  2. Import the Module: Import the necessary classes and functions.
    from vitpose import ViTPose, draw_kps
    
  3. Load the Model: Initialize the ViTPose model.
    model = ViTPose()
    
  4. Preprocess Input: Load and preprocess your input image or video.
    img = cv2.imread("input.jpg")
    
  5. Run Inference: Pass the input through the model to detect poses.
    results = model.detect(img)
    
  6. Process Results: Extract keypoints and visualize them.
    output = draw_kps(img, results)
    cv2.imwrite("output.jpg", output)
    

Frequently Asked Questions

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.

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