3DObjectTracking
Dlib
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 |
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3DObjectTracking
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6DOF Object Pose Estimation usable for Unity
Hey, just to let you know if you're interested I'm implementing this now: https://github.com/DLR-RM/3DObjectTracking/tree/master/RBGT
Dlib
- Modern Image Processing Algorithms Implementation in C
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[Cpp] Une assez grande liste de bibliothèques graphiques C ++
dlib
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32 years old. HRT in April or May. Things I can do to maximize results and what to expect.
The apparent gender estimates from photos are using dlib, and I really ought to get what I'm doing cleaned up in such a way that other people can use it easily.
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What are some C++ projects with high quality code that I can read through?
I really like dlib's code https://github.com/davisking/dlib
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C++ for machine learning
Additionally, C++ may be used for extremely high levels of optimization even for cloud-based ML. Dlib and Kaldi are C++ libraries used as dependencies in Python codebases for computer vision and audio processing, for example. So if your application requires you to customize any functions similar to those libraries, then you'll need C++ knowhow.
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What programming language should I learn after C++ for Audio DSP?
If you know C++, you don't need anything else. Go and learn APIs for C++ libraries. If you're into DSP, why not study Dlib?.
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Exponential vs linear progress?
The data is mostly in this spreadsheet. The apparently facial gender estimates are made with Dlib. The mental health assessments are from Beck's Depression Inventory and the Snaith-Hamilton Pleasure Scale. The graph is made with gnuplot.
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Flutter OpenCV and dlib for face detector & recognition
The plugin uses dlib library with a very fast HOG detector for both face recognition and detector following the relative examples.
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How long after starting HRT did facial recognition not recognize you?
The dlib facial recognition model thinks that I am now a distance of about 0.3 from where I started, which is far enough to start getting many false positive matches, but still within the design intent that different pictures of the same individual will be within 0.6 of each other.
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Does hrt effect facial recognition software?
Dlib's face recognition module thinks that I am about 0.25 units away from where I started; its design intent is that distinct individuals will be 0.6 or more apart, although in practice other people start showing up around 0.3.
What are some alternatives?
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