Darknet
Darknet on OpenCL Convolutional Neural Networks on OpenCL on Intel & NVidia & AMD & Mali GPUs for macOS & GNU/Linux & Windows & FreeBSD
Install / Use
/learn @sowson/DarknetREADME
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.
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