Run 3D human pose estimation with images
Meta Llama3 8b with Llava Multimodal capabilities
Decode images to teacher model outputs
Generate depth map from an image
Answer queries and manipulate images using text input
Upload an image, detect objects, hear descriptions
Search images by text or upload
Detect ASL letters in images
Generate depth map from an image
Analyze fashion items in images with bounding boxes and masks
Simulate wearing clothes on images
Colorize grayscale images
Generate 3D depth map visualization from an image
GVHMR is an advanced AI tool designed for 3D human pose estimation. It processes images to estimate the 3D skeletal structure and joint positions of a human body, enabling applications in computer vision, robotics, and animation. GVHMR leverages cutting-edge AI technologies to deliver precise and realistic pose estimations.
• 3D Skeletal Modeling: Accurately estimates 3D joint positions and skeletal structure from 2D images.
• High Accuracy: Utilizes state-of-the-art algorithms for precise pose estimation.
• Real-Time Processing: Capable of processing images in real-time for applications requiring instantaneous feedback.
• Compatibility: Works with standard RGB images, ensuring versatility across different use cases.
• Customizable: Allows users to fine-tune parameters for specific tasks or environments.
• Integration Ready: Seamlessly integrates with other computer vision workflows and pipelines.
What type of images can GVHMR process?
GVHMR works with standard RGB images. Ensure the image is clear and contains a visible human figure for best results.
How accurate is GVHMR?
GVHMR delivers high accuracy due to its advanced algorithms, but accuracy may vary based on image quality, lighting conditions, and occlusions.
Can GVHMR be used for real-time applications?
Yes, GVHMR supports real-time processing, making it suitable for applications like motion capture, gaming, and interactive systems.