Ultralytics YOLO27, YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking
- ultralytics
- yolov8
- yolo
- deep-learning
Repository Index
60,121 visible repositories in the index
1–24 of 38 · Most stars
State-of-the-art 2D and 3D Face Analysis Project
- face-recognition
- face-detection
- mxnet
- face-alignment
Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
- object-detection
- instance-segmentation
- faster-rcnn
- mask-rcnn
Statsmodels: statistical modeling and econometrics in Python
- python
- statistics
- econometrics
- data-analysis
X-AnyLabeling: A lightweight, efficient, and unified cross-platform desktop application for annotating text, image, video, point cloud and multimodal data, combining versatile built-in tools with state-of-the-art AI models and flexible multi-format export.
[NeurIPS 2024] Depth Anything V2. A More Capable Foundation Model for Monocular Depth Estimation
- monocular-depth-estimation
Real-Time and Accurate Full-Body Multi-Person Pose Estimation&Tracking System
- pose-estimation
- posetracking
- tracking
- gpu
[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation
- depth-estimation
- image-synthesis
- metric-depth-estimation
- monocular-depth-estimation
OpenMMLab Pose Estimation Toolbox and Benchmark.
- pose-estimation
- human-pose
- pytorch
- hrnet
Object detection, 3D detection, and pose estimation using center point detection:
Python SDK for AI agent monitoring, LLM cost tracking, benchmarking, and more. Integrates with most LLMs and agent frameworks including CrewAI, Agno, OpenAI Agents SDK, Langchain, Autogen, AG2, and CamelAI
Gluon CV Toolkit
Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals incl. humans
- behavior-analysis
- deep-learning
- pose-estimation
- feature-detectors
ECCV2022 - Real-Time Intermediate Flow Estimation for Video Frame Interpolation
- video-interpolation
- computer-vision
- slomo-filter
- deep-learning
LightGlue: Local Feature Matching at Light Speed (ICCV 2023)
- deep-learning
- image-matching
- pose-estimation
- transformers
An advanced, unified platform for code quality, architectural metrics, and Agile analytics. Features Python AST parsing, Java static analysis (code smells), and interactive project health dashboards built with Streamlit.
- agile
- code-analysis
- dashboard
- data-visualization
Visual localization made easy with hloc
- deep-learning
- visual-localization
- feature-matching
- image-retrieval
SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)
- deep-learning
- feature-matching
- pose-estimation
- graph-neural-networks
MapAnything: Universal Feed-Forward Metric 3D Reconstruction
- 3d-reconstruction
- ai
- calibration
- depth-completion
Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman filter, Unscented Kalman filter, g-h (alpha-beta), least squares, H Infinity, smoothers, and more. Has companion book 'Kalman and Bayesian Filters in Python'.
A procedural Blender pipeline for photorealistic training image generation
- blender-pipeline
- segmentation
- depth-images
- camera-positions
[CVPR 2024 Highlight] FoundationPose: Unified 6D Pose Estimation and Tracking of Novel Objects
pySLAM is a hybrid Python/C++ Visual SLAM pipeline supporting monocular, stereo, and RGB-D cameras. It provides a broad set of modern local and global feature extractors, multiple loop-closure strategies, a volumetric reconstruction module, integrated depth-prediction models, and semantic segmentation capabilities for enhanced scene understanding.
- 3d-reconstruction
- depth-prediction
- feature-matching
- global-features
Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks