1 | initial version |
imutils.resize()
evaluate width onlybut not height. Imutils never used height all times. While OpenCV used both width and height or either height or width.
Here is imutils.py:
def resize(image, width = None, height = None, inter = cv2.INTER_AREA):
# initialize the dimensions of the image to be resized and grab the image size
dim = None
(h, w) = image.shape[:2]
# if both the width and height are None, then return the original image
if width is None and height is None:
return image
# check to see if the width is None
if width is None:
# calculate the ratio of the height and construct the dimensions
r = height / float(h)
dim = (int(w * r), height)
# otherwise, the height is None
else:
# calculate the ratio of the width and construct the dimensions
r = width / float(w)
dim = (width, int(h * r))
# resize the image
resized = cv2.resize(image, dim, interpolation = inter)
# return the resized image
return resized
2 | No.2 Revision |
imutils.resize()
evaluate width only but not height. Imutils never used height all times. While OpenCV used both width and height or either height or width.
Here is imutils.py:
def resize(image, width = None, height = None, inter = cv2.INTER_AREA):
# initialize the dimensions of the image to be resized and grab the image size
dim = None
(h, w) = image.shape[:2]
# if both the width and height are None, then return the original image
if width is None and height is None:
return image
# check to see if the width is None
if width is None:
# calculate the ratio of the height and construct the dimensions
r = height / float(h)
dim = (int(w * r), height)
# otherwise, the height is None
else:
# calculate the ratio of the width and construct the dimensions
r = width / float(w)
dim = (width, int(h * r))
# resize the image
resized = cv2.resize(image, dim, interpolation = inter)
# return the resized image
return resized