OpenMLDB is an open-source machine learning database that provides a feature platform computing consistent features for training and inference.
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Updated
Jan 9, 2025 - C++
OpenMLDB is an open-source machine learning database that provides a feature platform computing consistent features for training and inference.
A cross-platform video structuring (video analysis) framework. If you find it helpful, please give it a star: ) 跨平台的视频结构化(视频分析)框架,觉得有帮助的请给个星星 : )
The Munich Open-Source Large-Scale Multimedia Feature Extractor
Desbordante is a high-performance data profiler that is capable of discovering many different patterns in data using various algorithms. It also allows to run data cleaning scenarios using these algorithms. Desbordante has a console version and an easy-to-use web application.
SuperPoint and SuperGlue with TensorRT. Deploy with C++.
The hottest High Dynamic Range (HDR) Library
T-LOAM: Truncated Least Squares Lidar-only Odometry and Mapping in Real-Time
💎 "Marker-less Augmented Reality" with OpenCV and OpenGL.
Fast and robust algorithm to extract edges in unorganized point clouds
Direct Graphical Models (DGM) C++ library, a cross-platform Conditional Random Fields library, which is optimized for parallel computing and includes modules for feature extraction, classification and visualization.
A C++ Qt GUI desktop program to calculate Harris, FAST, SIFT and SURF image features with OpenCV
Integrate SuperPoint and LightGlue into OpenCV image stitching or Matching algorithm
A system for identifying latent fingerprints. Created at Michigan State University by Anil K. Jain, Kai Cao, Dinh-Luan Nguyen, and Cori Tymoszek.
ezSIFT: An easy-to-use standalone SIFT library written in C/C++
feature detector and descriptor for spherical panorama
B-SHOT : A Binary Feature Descriptor for Fast and Efficient Keypoint Matching on 3D Point Clouds
Easy-to-Use C++ Computer Vision Library
Face-authentication system enterely written on C++ with OpenCV and Qt third party library. Face-antispoofing procedure is included.
🎒 Bag of Visual words (BoW) approach for object classification and detection in images together with SIFT feature extractor and SVM classifier.
An automatic and non-domain-specific image morphing algorithm that doesn't require manual keypoints
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