4 个仓库
Awesome GitHub RepositoriesKeypoint Visualizers
Visualizes detected keypoints and descriptor matches on an image for debugging or presentation.
Distinct from Keypoint Detection: Distinct from Keypoint Detection: focuses on visualization of detected keypoints and matches rather than the detection algorithms themselves.
Explore 4 awesome GitHub repositories matching artificial intelligence & ml · Keypoint Visualizers. Refine with filters or upvote what's useful.
Awesome Keypoint Visualizers GitHub Repositories
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- mvig-sjtu/alphapose
MVIG-SJTU/AlphaPose
8,583在 GitHub 上查看AlphaPose 是一个深度学习姿态估计框架和 PyTorch 计算机视觉库，旨在检测和追踪图像及视频中的人体、面部、手部和足部关键点。它提供了一套用于骨骼姿态估计和多人姿态追踪的系统。 该项目实现了三维人体姿态重建工具，可从二维图像数据生成关节位置和人体网格形状。它还包含一个多人姿态追踪器，能够在连续的视频帧中保持多人的身份识别。 该框架涵盖了广泛的计算机视觉功能，包括多人关键点定位、人体运动追踪以及三维人体网格重建。
Finds and marks keypoints for the human body, face, hands, and feet across multiple people in images.
Python - shimat/opencvsharp
shimat/opencvsharp
6,011在 GitHub 上查看OpenCVSharp is a .NET library that wraps native OpenCV functions, providing C# developers with access to OpenCV's computer vision capabilities through an API that mirrors the native C/C++ style. It serves as a managed wrapper for image processing, feature detection, object detection, and image manipulation tasks, while also handling automatic disposal of unmanaged OpenCV resources like Mat objects to prevent memory leaks in .NET applications. The library enables keypoint detection and descriptor extraction using algorithms such as AKAZE, BRISK, or FAST, with brute-force or FLANN-based matchin
Visualizes detected keypoints and descriptor matches on images for debugging or presentation purposes.
C#computer-visiondotnetdotnetstandard - zhec/realtime_multi-person_pose_estimation
ZheC/Realtime_Multi-Person_Pose_Estimation
5,123在 GitHub 上查看这是一个专为实时人体关键点检测设计的多人姿态估计框架。它作为自底向上的人体姿态估计器，无需单独的人员检测器即可识别场景中所有人的骨骼关节。 该系统利用卷积神经网络模型生成用于姿态分析的热图和向量场。它特别实现了部件亲和场（Part Affinity Fields）来编码肢体的位置和方向，从而允许模型将单个关节连接成完整的骨架。 该项目涵盖了计算机视觉运动分析和深度学习姿态分析，从图像和视频数据中提取人体部位的空间坐标。
Simultaneously identifies and marks anatomical keypoints for multiple individuals in a scene.
Jupyter Notebookcaffecomputer-visioncpp11 - vincentqyw/image-matching-webui
Vincentqyw/image-matching-webui
1,283在 GitHub 上查看This project is a web-based platform designed for benchmarking, visualizing, and evaluating computer vision algorithms focused on image feature extraction and matching. It provides a unified interface to compare the performance and accuracy of different models by processing image pairs or live video streams. The system distinguishes itself through a modular architecture that allows users to define custom processing pipelines and register external algorithms via configuration files. It incorporates geometric verification techniques to refine visual data and improve the precision of detected co
Provides a visual interface for displaying and comparing detected keypoints and descriptor matches between image pairs.
Pythonaspanformerdeep-learningfeature-matching
