in training/dataset/transforms.py [0:0]
def get_size_with_aspect_ratio(image_size, size, max_size=None):
w, h = image_size
if max_size is not None:
min_original_size = float(min((w, h)))
max_original_size = float(max((w, h)))
if max_original_size / min_original_size * size > max_size:
size = max_size * min_original_size / max_original_size
if (w <= h and w == size) or (h <= w and h == size):
return (h, w)
if w < h:
ow = int(round(size))
oh = int(round(size * h / w))
else:
oh = int(round(size))
ow = int(round(size * w / h))
return (oh, ow)