webcamoid VS MocapNET

Compare webcamoid vs MocapNET and see what are their differences.

webcamoid

Webcamoid is a full featured and multiplatform webcam suite. (by webcamoid)

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 (by FORTH-ModelBasedTracker)
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webcamoid MocapNET
12 2
2,187 804
1.0% 1.0%
9.3 6.9
25 days ago 3 months ago
C++ C++
GNU General Public License v3.0 only GNU General Public License v3.0 or later
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webcamoid

Posts with mentions or reviews of webcamoid. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-04-21.

MocapNET

Posts with mentions or reviews of MocapNET. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-01-23.

What are some alternatives?

When comparing webcamoid and MocapNET you can also consider the following projects:

pyvirtualcam - 🎥 Send frames to a virtual camera from Python

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

akvcam - akvcam, virtual camera for Linux

tensorflow - An Open Source Machine Learning Framework for Everyone

webcam-capture - The goal of this project is to allow integrated or USB-connected webcams to be accessed directly from Java. Using provided libraries users are able to read camera images and detect motion. Main project consist of several sub projects - the root one, which contains required classes, build-in webcam driver compatible with Windows, Linux and Mac OS, which can stream images as fast as your camera can serve them (up to 50 FPS). Main project can be used standalone, but user is able to replace build-in driver with different one - such as OpenIMAJ, GStreamer, V4L4j, JMF, LTI-CIVIL, FMJ, etc.

ncnn - ncnn is a high-performance neural network inference framework optimized for the mobile platform

Pion WebRTC - Pure Go implementation of the WebRTC API

gestures2anything - Use your webcam to identify gestures and trigger any script