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7 best C++ Coding Assessment libraries in 2022

by Open Weaver kits ✔ Updated: May 13, 2022

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

C++ star image 25772 Version:v1.7.0

License: Others (Non-SPDX)

OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation

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openposeby CMU-Perceptual-Computing-Lab

C++ star image 25772 Version:v1.7.0 License: Others (Non-SPDX)

OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
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caffe_rtposeby CMU-Perceptual-Computing-Lab

C++ star image 350 Version:Current

License: Others (Non-SPDX)

Realtime C++ code for multi-person pose estimation

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caffe_rtposeby CMU-Perceptual-Computing-Lab

C++ star image 350 Version:Current License: Others (Non-SPDX)

Realtime C++ code for multi-person pose estimation
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invokerby ivan-sincek

C++ star image 280 Version:v5.6

License: Permissive (MIT)

Penetration testing utility and antivirus assessment tool.

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invokerby ivan-sincek

C++ star image 280 Version:v5.6 License: Permissive (MIT)

Penetration testing utility and antivirus assessment tool.
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MocapNETby FORTH-ModelBasedTracker

C++ star image 571 Version:Current

License: Others (Non-SPDX)

We 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

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MocapNETby FORTH-ModelBasedTracker

C++ star image 571 Version:Current License: Others (Non-SPDX)

We 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
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PRiMEStereoMatchby PRiME-project

C++ star image 194 Version:Current

License: Others (Non-SPDX)

A 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.

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PRiMEStereoMatchby PRiME-project

C++ star image 194 Version:Current License: Others (Non-SPDX)

A 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.
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stereo_sparse_depth_fusionby ShreyasSkandanS

C++ star image 136 Version:Current

License: Strong Copyleft (GPL-3.0)

ICRA 2019 | Repository for "Real Time Dense Depth Estimation by Fusing Stereo with Sparse Depth Measurements" | OpenCV, C++

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stereo_sparse_depth_fusionby ShreyasSkandanS

C++ star image 136 Version:Current License: Strong Copyleft (GPL-3.0)

ICRA 2019 | Repository for "Real Time Dense Depth Estimation by Fusing Stereo with Sparse Depth Measurements" | OpenCV, C++
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monodepth-cppby yan99033

C++ star image 89 Version:Current

License: Permissive (MIT)

Tensorflow C++ implementation for single-image depth estimation (Monodepth)

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monodepth-cppby yan99033

C++ star image 89 Version:Current License: Permissive (MIT)

Tensorflow C++ implementation for single-image depth estimation (Monodepth)
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