我正在使用 python 3 和最新版本的 openCV。我正在尝试使用提供的调整大小功能调整图像大小,但调整大小后图像非常失真。代码:
import cv2
file = "/home/tanmay/Desktop/test_image.png"
img = cv2.imread(file , 0)
print(img.shape)
cv2.imshow('img' , img)
k = cv2.waitKey(0)
if k == 27:
cv2.destroyWindow('img')
resize_img = cv2.resize(img , (28 , 28))
cv2.imshow('img' , resize_img)
x = cv2.waitKey(0)
if x == 27:
cv2.destroyWindow('img')
原始图像为 480 x 640(RGB 因此我通过 0 使其变为灰度)
有什么办法可以调整它的大小并避免使用 OpenCV 或任何其他库的失真?我打算制作一个手写数字识别器,并且我已经使用 MNIST 数据训练了我的神经网络,因此我需要图像为 28x28。
最佳答案
您可以在下面尝试。该函数将保持原始图像的纵横比。
def image_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
这是一个示例用法。
image = image_resize(image, height = 800)
希望这会有所帮助。
关于python - 调整图像大小而不失真 OpenCV,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/44650888/