Darknet on OpenCL Convolutional Neural Networks on OpenCL on Intel & NVidia & AMD & Mali GPUs for macOS & GNU/Linux & Windows & FreeBSD
197
stars
453
commits
C
primary language
Oct 28, 2025
updated
README
Darknet v1.1.1 — AI CNN Computer Vision Engine
See also new iChess.io v12.27!!!
📄 This work is described in the scientific paper: https://doi.org/10.1002/cpe.6936
📦 Platform Support
- ✅ macOS (Intel / Apple Silicon)
- ✅ Ubuntu Linux 20.04+
- ⚠️ Windows 10/11 (experimental OpenCL build)
Windows Build Guide:
https://iblog.isowa.io/2021/11/20/darknet-on-opencl-on-windows-11-x64
🧠 Training & Optimization Tips
-
Run from RAMDisk to reduce disk wear and speed up training/inference:
- Linux:
sudo mount -t tmpfs -o size=4096M tmpfs /your/ramdisk - macOS:
diskutil erasevolume HFS+ "ramdisk" $(hdiutil attach -nomount ram://8388608)
- Linux:
-
Replace clBLAS with CLBlast for improved GEMM performance:
git apply patches/clblast.patch
🔗 Related Projects
- Darknet-vNext — CUDA-enhanced variant
- YOLO on OpenCL
📽️ Demos & Videos
🙏 Acknowledgements
Created by Piotr Sowa — AI researcher, GPU software engineer, and creator of iChess.io. More information and tutorials at iBlog.isowa.io.
For citations, academic usage, or collaboration inquiries, feel free to reach out via GitHub or LinkedIn.
Contributors
Similar repos
Languages
C
94.9%
Python
2.1%
CMake
1.5%
Darknet on OpenCL Convolutional Neural Networks on OpenCL on Intel & NVidia & AMD & Mali GPUs for macOS & GNU/Linux & Windows & FreeBSD
197
stars
453
commits
C
primary language
Oct 28, 2025
updated
README
Darknet v1.1.1 — AI CNN Computer Vision Engine
See also new iChess.io v12.27!!!
📄 This work is described in the scientific paper: https://doi.org/10.1002/cpe.6936
📦 Platform Support
- ✅ macOS (Intel / Apple Silicon)
- ✅ Ubuntu Linux 20.04+
- ⚠️ Windows 10/11 (experimental OpenCL build)
Windows Build Guide:
https://iblog.isowa.io/2021/11/20/darknet-on-opencl-on-windows-11-x64
🧠 Training & Optimization Tips
-
Run from RAMDisk to reduce disk wear and speed up training/inference:
- Linux:
sudo mount -t tmpfs -o size=4096M tmpfs /your/ramdisk - macOS:
diskutil erasevolume HFS+ "ramdisk" $(hdiutil attach -nomount ram://8388608)
- Linux:
-
Replace clBLAS with CLBlast for improved GEMM performance:
git apply patches/clblast.patch
🔗 Related Projects
- Darknet-vNext — CUDA-enhanced variant
- YOLO on OpenCL
📽️ Demos & Videos
🙏 Acknowledgements
Created by Piotr Sowa — AI researcher, GPU software engineer, and creator of iChess.io. More information and tutorials at iBlog.isowa.io.
For citations, academic usage, or collaboration inquiries, feel free to reach out via GitHub or LinkedIn.
Similar repos
Contributors
Languages
C
94.9%
Python
2.1%
CMake
1.5%