in lib/datasets/image_processor.py [0:0]
def random_short_side_scale_jitter_list(images, min_size,
max_size, boxes=None):
size = int(round(1.0 / np.random.uniform(1.0 / max_size, 1.0 / min_size)))
height = images[0].shape[0]
width = images[0].shape[1]
if ((width <= height and width == size)
or (height <= width and height == size)):
return images, boxes
new_width = size
new_height = size
if width < height:
new_height = int(math.floor((float(height) / width) * size))
if boxes is not None:
boxes = boxes * float(new_height) / height
else:
new_width = int(math.floor((float(width) / height) * size))
if boxes is not None:
boxes = boxes * float(new_width) / width
return [cv2.resize(image, (new_width, new_height),
interpolation=getattr(cv2, cfg.INTERPOLATION)
).astype(np.float32)
for image in images], boxes