Detect human poses in images
Analyze body and leg angles in images
Analyze images to detect human poses
Combine and match poses from two videos
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Estimate human poses in images
Track body poses using a webcam
Synthpose Markerless MoCap VitPose
Transform pose in an image using another image
Showcasing Yolo, enabling human pose detection
Generate pose estimates for humans, vehicles, and animals in images
Mediapipe, OpenCV, CVzone simple pose detection
Evaluate and pose a query image based on marked keypoints and limbs
Poser TF is a TensorFlow-based application designed for pose estimation. It detects human poses in images by identifying keypoints such as shoulders, elbows, wrists, hips, knees, and ankles. This tool is useful for analyzing human movements, animating characters, or enhancing fitness and health applications.
• Human Pose Detection: Accurately identifies and labels body keypoints in images. • Keypoint Estimation: Provides detailed coordinates for each detected joint. • Multi-Person Support: Detects poses of multiple individuals in a single image. • High Accuracy: Leveraging cutting-edge TensorFlow models ensures reliable results. • Flexible Input: Supports various image formats and resolutions. • Customizable Settings: Adjust detection thresholds and model parameters for specific use cases.
What is pose estimation?
Pose estimation is the process of identifying and locating body keypoints (e.g., shoulders, knees) in images or videos. It is widely used in applications like fitness tracking, animation, and surveillance.
How accurate is Poser TF?
Poser TF leverages advanced TensorFlow models to deliver high accuracy. However, results may vary depending on image quality, lighting, and occlusions.
Can Poser TF handle multiple people in one image?
Yes, Poser TF supports multi-person pose detection, making it suitable for analyzing group activities or crowded scenes.