Question

我有一个调整给定图像大小的功能。但是，我想做的是在其中使用for循环，这样，我就可以根据需要调整图像的大小并将其保存在其他变量中。

这里有来自opencv的图像读取代码。

image1 = cv2.imread(test1.jpg)
image2 = cv2.imread(test2.jpg)

下面是图像尺寸调整功能。当前，它需要image1，调整其大小，然后将其保存到img1。如何使用for循环，以便我可以传递image1，image2，image3等，并将其分别保存到img1，img2，img3.....。

def image_resize(image1, 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) = image1.shape[:2]

    # if both the width and height are None, then return the
    # original image
    width is None and height is None:
        return image1

    # 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(image1, dim, interpolation = inter)

    # return the resized image
    return resized

img1 = image_resize(image1, height = 500)

问这可能是愚蠢的问题。但是我是这个编程领域的新手。因此，将不胜感激。

Answer 1

这里是使用for循环的一种方法，假设您有10张图像作为示例。

说明：：创建一个空列表resized_images来存储调整大小后的图像。假设您有10张图像分别命名为test1.jpg，test2.jpg，test3.jpg，依此类推。您使用索引i遍历10个值，然后在for循环中使用imread读取图像并调用该函数。现在，该函数的返回值存储在名为resized_images的列表中，您以后可以访问该列表。 'test%s.jpg' %i是动态读取具有变量名的不同图像的方法。

现在，所有图像调整大小后，您可以访问第一个调整大小的图像为resized_images[0]，第二个调整大小的图像访问为resized_images[1]，依此类推。 python中的索引从0开始，因此使用索引[0]访问第一个图像。

def image_resize(image, width = None, height = None, inter = cv2.INTER_AREA):
    dim = None
    (h, w) = image.shape[:2]

    if width is None and height is None:
        return image

    if width is None:
        r = height / float(h)
        dim = (int(w * r), height)
    else:
        r = width / float(w)
        dim = (width, int(h * r))

    resized = cv2.resize(image, dim, interpolation = inter)
    return resized

resized_images = []
number_of_images = 10

for i in range(1, number_of_images+1):
    image = cv2.imread('test%s.jpg' %i)
    img = image_resize(image, height = 500)
    resized_images.append(img)

Answer 2

创建字典并定义图像细节，将其传递给函数image_resize并使用循环会有所帮助。
这是示例代码

def image_resize(image1, 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) = image1.shape[:2]

        # if both the width and height are None, then return the
        # original image
        if width is None and height is None:
            return image1

        # 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(image1, dim, interpolation = inter)

        # return the resized image
        return resized

resized_images = []
#here image_name is name of the images,
# in image_width/image_height add width/height according to image 

obj = { image: [image_name],
       width :[image_width],
       height:[image_heights],
       inter =cv2.INTER_AREA
       }

def fun(obj):
    for i in obj:
        for j in i:
            img = image_resize(i['image'][j],i['width'][j],i['height'][j],i['inter'])
            resized_image.append(img)

fun(obj)

在python opencv中使用for循环的最佳方法是什么，将其输出（图像）保存在多个变量中？

2 个答案: