Matthius 
LightNet is an artificial intelligence neural network library Inspired by Darknet and YOLOv7 github C library, this implementation can run most of the darknet including YOLO models nativly and self dependently no external libraries required.
- Currently training & inference runs on CPU , however i have notice that inference runs faster than the Optimized C CPU implementation
- Optionally, using
-dOPENBLASor-dMKL( Custom options in Lazarus-Ide for example ) will enable “libopenblas” or “Intel’s Math Kernel Library” which is further optimized for CPU, however, on lazarus no significant improvement was noticed. - Before running the test make sure that yolov7.weights file is placed next to the test project executable.
- Other .weights models should work (check “cfg” folder)
- More Examples coming soon
French
LightNet est une intelligence artificielle en réseaux de neurones insiprée de Darknet et de Yolo V7.
