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/yolov5git
path: C:/Users/rd_de/yolov5git/runs/train/exp29735/weights/best.pt
yaml_path: C:/Users/rd_de/yolov5git/models/yolov5s.yaml
pt_path: C:/Users/rd_de/yolov5git/weights/for720best.pt
onnx_export_file: C:/Users/rd_de/yolov5git/runs/train/exp29735/weights/best.onnx

input_w: 640
input_h: 640

nc: 4
names: ['car', 'greenery', 'person', 'tree']