Refactor argparser printing to print_args() (#4850)

* Refactor argparser printing to `print_args()`

* Cleanup

val.py

@@ -24,7 +24,7 @@ from models.experimental import attempt_load
 from utils.datasets import create_dataloader
 from utils.general import coco80_to_coco91_class, check_dataset, check_img_size, check_requirements, \
     check_suffix, check_yaml, box_iou, non_max_suppression, scale_coords, xyxy2xywh, xywh2xyxy, set_logging, \
-    increment_path, colorstr
+    increment_path, colorstr, print_args
 from utils.metrics import ap_per_class, ConfusionMatrix
 from utils.plots import output_to_target, plot_images, plot_val_study
 from utils.torch_utils import select_device, time_sync
@@ -295,7 +295,7 @@ def run(data,
 
 
 def parse_opt():
-    parser = argparse.ArgumentParser(prog='val.py')
+    parser = argparse.ArgumentParser()
     parser.add_argument('--data', type=str, default='data/coco128.yaml', help='dataset.yaml path')
     parser.add_argument('--weights', nargs='+', type=str, default='yolov5s.pt', help='model.pt path(s)')
     parser.add_argument('--batch-size', type=int, default=32, help='batch size')
@@ -319,12 +319,12 @@ def parse_opt():
     opt.save_json |= opt.data.endswith('coco.yaml')
     opt.save_txt |= opt.save_hybrid
     opt.data = check_yaml(opt.data)  # check YAML
+    print_args(FILE.stem, opt)
     return opt
 
 
 def main(opt):
     set_logging()
-    print(colorstr('val: ') + ', '.join(f'{k}={v}' for k, v in vars(opt).items()))
     check_requirements(requirements=FILE.parent / 'requirements.txt', exclude=('tensorboard', 'thop'))
 
     if opt.task in ('train', 'val', 'test'):  # run normally