grid_dir: C:/Users/rd_de/kneronyolov5/ai_training/detection/yolov5/generate_npy/
grid20_path: C:/Users/rd_de/kneronyolov5/ai_training/detection/yolov5/generate_npy/20_640x640.npy
grid40_path: C:/Users/rd_de/kneronyolov5/ai_training/detection/yolov5/generate_npy/40_640x640.npy
grid80_path: C:/Users/rd_de/kneronyolov5/ai_training/detection/yolov5/generate_npy/80_640x640.npy


yolov5_dir: C:/Users/rd_de/kneronyolov5/yolov5
path: C:/Users/rd_de/golfaceyolov5/yolov5/runs/train/exp24/weights/best.pt
yaml_path: C:/Users/rd_de/golfaceyolov5/yolov5/models/yolov5s-noupsample.yaml
pt_path: C:/Users/rd_de/golfaceyolov5/yolov5/weights/for520best.pt
onnx_export_file: C:/Users/rd_de/golfaceyolov5/yolov5/runs/train/exp24/weights/best.onnx

input_w: 640
input_h: 640

nc: 4
names: ['100', '1000', '50', '500']


#nc: 6
#names: ['Break circuit', 'bulge', 'foreign object', 'scratch', 'short circuit', 'white spot']