ncnnRay

ncnnRay

QuantScientist

ncnnRay++ is a CMake based integration of raylib and the very popular Tencent ncnn Deep Learning library. ncnn is written in C++ and designed (but not only) for edge computing devices. The project depends on the Vulkan SDK (Vulakn is Khronos' API for Graphics and Compute on GPUs).

48 Stars
6 Forks
48 Watchers
C Language
Cost to Build
$63.72M
Market Value
$86.21M

Growth over time

1 data points  ·  2021-08-07 → 2021-08-07
Stars Forks Watchers
💬

How do you feel about this project?

Ask AI about ncnnRay

Question copied to clipboard

What is the QuantScientist/ncnnRay GitHub project? Description: "ncnnRay++ is a CMake based integration of raylib and the very popular Tencent ncnn Deep Learning library. ncnn is written in C++ and designed (but not only) for edge computing devices. The project depends on the Vulkan SDK (Vulakn is Khronos' API for Graphics and Compute on GPUs).". Written in C. Explain what it does, its main use cases, key features, and who would benefit from using it.

Question is copied to clipboard — paste it after the AI opens.

How to clone ncnnRay

Clone via HTTPS

git clone https://github.com/QuantScientist/ncnnRay.git

Clone via SSH

[email protected]:QuantScientist/ncnnRay.git

Download ZIP

Download master.zip

Found an issue?

Report bugs or request features on the ncnnRay issue tracker:

Open GitHub Issues