Showing 1-20 of 154 projects
YOLO models for computer vision tasks
Real-time multi-person keypoint detection for body, face, hands, and foot
Production-ready WiFi-based dense human pose estimation system for real-time full-body tracking through walls.
2D/3D face analysis with AI
A TypeScript library for face detection and face recognition in the browser and Node.js using TensorFlow.js.
A set of Jupyter Notebooks that combine Grounding DINO, Segment Anything, and Stable Diffusion for automatic detection, segmentation, and generation of anything in images.
A low-budget password strength estimation library written in CoffeeScript.
PaddleDetection is an open-source object detection toolkit based on the PaddlePaddle deep learning framework, supporting various computer vision tasks.
Automated cloud cost estimation for Terraform in Go.
Statsmodels is a Python library for statistical modeling and econometrics, providing tools for data analysis and prediction.
A real-time and accurate full-body multi-person pose estimation and tracking system written in Python.
Effortless data labeling with AI support from Segment Anything and other powerful models.
A fast and accurate code counter with complexity calculations and COCOMO estimates, written in Go.
A powerful multi-object tracking library with modular SOTA tracking modules for segmentation, detection, and pose estimation.
A foundation model for monocular depth estimation that leverages large-scale unlabeled data.
A highly capable foundation model for monocular depth estimation, a key component in computer vision.
OpenFace is a state-of-the-art tool for facial landmark detection, head pose estimation, facial action unit recognition, and eye-gaze estimation.
CenterNet is a Python library for object detection, 3D detection, and pose estimation using center point detection.
OpenMMLab Pose Estimation Toolbox and Benchmark for developers working on computer vision and AI-powered applications.
An open-source toolkit for computer vision tasks, supporting a wide range of deep learning models and applications.
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