7 best C++ Coding Assessment libraries in 2024
by marketing.admin@openweaver.com 
Updated: Mar 14, 2023
Guide Kit
C++ is a general-purpose programming language used for many different types of applications, from system software to games. It has often been called "the fastest language in the world," as well as one of the most flexible and powerful languages in existence. C++ was first developed by Bjarne Stroustrup in 1979 at Bell Labs. C++ is an object-oriented programming (OOP) language, which means that it allows to build classes and objects to represent real-world objects and then adds behavior to these objects. C++ is a great programming language for creating high-performance applications. It is the most widely used programming language in the world and is used in many industries including gaming, finance, and internet technologies. Popular C++ Coding Assessment open source libraries among developers include: openpose - Realtime multiperson keypoint detection library; caffe_rtpose - Realtime C code for multiperson pose estimation; invoker - Penetration testing utility and antivirus assessment tool.
openposeby CMU-Perceptual-Computing-Lab
27295 Version:v1.7.0OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
openposeby CMU-Perceptual-Computing-Lab
C++ 27295 Version:v1.7.0 License: Others (Non-SPDX)
caffe_rtposeby CMU-Perceptual-Computing-Lab
350 Version:CurrentRealtime C++ code for multi-person pose estimation
caffe_rtposeby CMU-Perceptual-Computing-Lab
C++ 350 Version:Current License: Others (Non-SPDX)
invokerby ivan-sincek
285 Version:v5.7.2Penetration testing utility and antivirus assessment tool.
invokerby ivan-sincek
C++ 285 Version:v5.7.2 License: Permissive (MIT)
MocapNETby FORTH-ModelBasedTracker
662 Version:CurrentWe present MocapNET, a real-time method that estimates the 3D human pose directly in the popular Bio Vision Hierarchy (BVH) format, given estimations of the 2D body joints originating from monocular color images. Our contributions include: (a) A novel and compact 2D pose NSRM representation. (b) A human body orientation classifier and an ensemble of orientation-tuned neural networks that regress the 3D human pose by also allowing for the decomposition of the body to an upper and lower kinematic hierarchy. This permits the recovery of the human pose even in the case of significant occlusions. (c) An efficient Inverse Kinematics solver that refines the neural-network-based solution providing 3D human pose estimations that are consistent with the limb sizes of a target person (if known). All the above yield a 33% accuracy improvement on the Human 3.6 Million (H3.6M) dataset compared to the baseline method (MocapNET) while maintaining real-time performance
MocapNETby FORTH-ModelBasedTracker
C++ 662 Version:Current License: Others (Non-SPDX)
PRiMEStereoMatchby PRiME-project
194 Version:CurrentA heterogeneous and fully parallel stereo matching algorithm for depth estimation, implementing a local adaptive support weight (ADSW) Guided Image Filter (GIF) cost aggregation stage. Developed in both C++ and OpenCL.
PRiMEStereoMatchby PRiME-project
C++ 194 Version:Current License: Others (Non-SPDX)
stereo_sparse_depth_fusionby ShreyasSkandanS
136 Version:CurrentICRA 2019 | Repository for "Real Time Dense Depth Estimation by Fusing Stereo with Sparse Depth Measurements" | OpenCV, C++
stereo_sparse_depth_fusionby ShreyasSkandanS
C++ 136 Version:Current License: Strong Copyleft (GPL-3.0)
monodepth-cppby yan99033
89 Version:CurrentTensorflow C++ implementation for single-image depth estimation (Monodepth)
monodepth-cppby yan99033
C++ 89 Version:Current License: Permissive (MIT)