↓ 21 callersMethod__init__(self, c1, c2, n=1, shortcut=True, g=1, e=0.5)
yolov5/models/common.py:129
↓ 6 callersFunctioncheck_version(current='0.0.0', minimum='0.0.0', name='version ', pinned=False, hard=False, verbose=False)
yolov5/utils/general.py:270
↓ 6 callersFunctionletterbox(im, new_shape=(640, 640), color=(114, 114, 114), auto=True, scaleFill=False, scaleup=True, stride=32)
yolov5/utils/augmentations.py:91
↓ 5 callersMethoddisplay(self, pprint=False, show=False, save=False, crop=False, render=False, save_dir=Path(''))
yolov5/models/common.py:585
↓ 4 callersFunctionsave_one_box(xyxy, im, file='image.jpg', gain=1.02, pad=10, square=False, BGR=False, save=True)
yolov5/utils/plots.py:470
↓ 3 callersMethodbox_label(self, box, label='', color=(128, 128, 128), txt_color=(255, 255, 255))
yolov5/utils/plots.py:94
↓ 3 callersFunctioncreate_dataloader(path, imgsz, batch_size, stride, single_cls=False, hyp=None, augment=False, cache=False, pad=0.0,
yolov5/utils/datasets.py:94
↓ 3 callersFunctionplot_mc_curve(px, py, save_dir='mc_curve.png', names=(), xlabel='Confidence', ylabel='Metric')
yolov5/utils/metrics.py:324
↓ 3 callersFunctionrandom_perspective(im, targets=(), segments=(), degrees=10, translate=.1, scale=.1, shear=10, perspective=0.0,
yolov5/utils/augmentations.py:124