suicide-barbie
Tuna_ab
| suicide-barbie | Tuna_ab | |
|---|---|---|
| 1 | 1 | |
| 76 | 2 | |
| - | - | |
| 0.0 | 0.0 | |
| over 3 years ago | about 3 years ago | |
| C++ | C++ | |
| MIT License | - |
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.
suicide-barbie
Tuna_ab
What are some alternatives?
ppsspp - A PSP emulator for Android, Windows, Mac and Linux, written in C++. Want to contribute? Join us on Discord at https://discord.gg/5NJB6dD or just send pull requests / issues. For discussion use the forums at forums.ppsspp.org.
source-sdk-bullet-physics - Bullet Physics Injection for Source SDK 2013
DeSmuME-PSP - A Nintendo DS emulator for PlayStation Portable.
CrossWindow-Demos - 🥪 Examples of how to use CrossWindow for things like rendering graphics, listening to events, etc.
pendulum - ROS, ROS2, real-time, control, pendulum
x64dbg - An open-source user mode debugger for Windows. Optimized for reverse engineering and malware analysis.
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