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
Nov 7, 2024 - 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.
The hottest High Dynamic Range (HDR) Library
SuperPoint and SuperGlue with TensorRT. Deploy with C++.
T-LOAM: Truncated Least Squares Lidar-only Odometry and Mapping in Real-Time
💎 "Marker-less Augmented Reality" with OpenCV and OpenGL.
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.
Fast and robust algorithm to extract edges in unorganized point clouds
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
Face-authentication system enterely written on C++ with OpenCV and Qt third party library. Face-antispoofing procedure is included.
Easy-to-Use C++ Computer Vision Library
🎒 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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