3DObjectTracking VS Dlib

Compare 3DObjectTracking vs Dlib and see what are their differences.

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3DObjectTracking Dlib
1 33
599 13,031
1.5% -
3.3 8.2
11 months ago 5 days ago
C++ C++
MIT License Boost Software License 1.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

3DObjectTracking

Posts with mentions or reviews of 3DObjectTracking. We have used some of these posts to build our list of alternatives and similar projects.

Dlib

Posts with mentions or reviews of Dlib. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-06-06.

What are some alternatives?

When comparing 3DObjectTracking and Dlib you can also consider the following projects:

MocapNET - 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

mlpack - mlpack: a fast, header-only C++ machine learning library

ANMS-Codes - Efficient adaptive non-maximal suppression algorithms for homogeneous spatial keypoint distribution

Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration

mediapipe - Cross-platform, customizable ML solutions for live and streaming media.

Boost - Super-project for modularized Boost

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

Face Recognition - The world's simplest facial recognition api for Python and the command line

PoseEstimationForMobile - :dancer: Real-time single person pose estimation for Android and iOS.

OpenCV - Open Source Computer Vision Library

Caffe - Caffe: a fast open framework for deep learning.

javascript-algorithms - 📝 Algorithms and data structures implemented in JavaScript with explanations and links to further readings