gui1984's starred repositories
live-de-python
Repositório das lives de python semanais
retroarch_system
Compilation of BIOSes for various emulation platforms
beetle-saturn-libretro
Standalone port of Mednafen Saturn to the libretro API.
installers
Retropie auto-installer scripts for homebrew games
RetroPie-Extra
A collection of unofficial scripts for adding more emulators/ports/games to RetroPie.
BinarytoDecimal
Binary to Decimal Converter Mobile App With KivyMD
KivyMDBuilder
Drag and drop components, and turn designs into real application screens in minutes instead of hours. Take advantage of the various widgets and their properties to build elaborate and beautiful apps.
X360Advance
External Arduino gyroscope & pedals for any Xbox compatible gamepads / Внешний Arduino гироскоп и педали для Xbox совместимых геймпадов
Folders.py
Implementation of the Folders📂 esoteric programming language, a language with no code and just folders.
PrimerToolsUnity
Tool used for producing Primer YouTube videos
primerpython
code that makes videos for this: youtube.com/c/primerlearning
CoreObjectiveFunctions
The Core Objective Functions are the solution to the Control Problem. They will result in a benevolent and trustworthy AGI.
BackgroundMattingV2
Real-Time High-Resolution Background Matting
RobustVideoMatting
Robust Video Matting in PyTorch, TensorFlow, TensorFlow.js, ONNX, CoreML!
anbox-playstore-installer
Install script that automates installation of googles playstore in anbox
DeepFaceLive
Real-time face swap for PC streaming or video calls
NLCA_CURIE_Discord
Raven experiment entirely with CURIE engine
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