当我将文本打印在图像上并且超出图像的框架时，如何在 OpenCV 中换行? [英] How to wrap text in OpenCV when I print it on an image and it exceeds the frame of the image?

问题描述

我有一个 1:1 比例的图像，我想确保如果文本超出图像的框架，它会被换行到下一行.我该怎么做?

I have a 1:1 ratio image and I want to make sure that if the text exceeds the frame of the image, it gets wrapped to the next line. How would I do it?

我正在考虑做一个 if-else 块，其中如果句子超过 x 个字符-> 换行"，但我不知道如何实现它.

I am thinking of doing an if-else block, where "if sentence exceeds x characters->new line" but I'm not sure how to implement it.

import numpy as np
import cv2

img = cv2.imread('images/1.png')
print(img.shape)

height, width, channel = img.shape

text_img = np.ones((height, width))
print(text_img.shape)
font = cv2.FONT_HERSHEY_SIMPLEX
text = "Lorem Ipsum "
textsize = cv2.getTextSize(text, font, 2, 2)[0]

font_size = 1
font_thickness = 2
for i, line in enumerate(text.split('\n')):

    textsize = cv2.getTextSize(line, font, font_size, font_thickness)[0]

    gap = textsize[1] + 10

    y = int((img.shape[0] + textsize[1]) / 2) + i * gap
    x = int((img.shape[1] - textsize[0]) / 2)

    cv2.putText(img, line, (x, y), font,
                font_size, 
                (0,0,0), 
                font_thickness, 
                lineType = cv2.LINE_AA)

cv2.imshow("Result Image", img)
cv2.waitKey(0)
cv2.destroyAllWindows()

推荐答案

您可以使用 textwrap 在 OpenCV 中对文本进行换行.

You can use textwrap to wrap text in OpenCV.

import numpy as np
import cv2
import textwrap 

img = cv2.imread('apple.png')
print(img.shape)

height, width, channel = img.shape

text_img = np.ones((height, width))
print(text_img.shape)
font = cv2.FONT_HERSHEY_SIMPLEX

text = "Lorem Ipsum dgdhswjkclyhwegflhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhvhasvcxsbvfajhskvfgsdj"
wrapped_text = textwrap.wrap(text, width=35)
x, y = 10, 40
font_size = 1
font_thickness = 2

for i, line in enumerate(wrapped_text):
    textsize = cv2.getTextSize(line, font, font_size, font_thickness)[0]

    gap = textsize[1] + 10

    y = int((img.shape[0] + textsize[1]) / 2) + i * gap
    x = int((img.shape[1] - textsize[0]) / 2)

    cv2.putText(img, line, (x, y), font,
                font_size, 
                (0,0,0), 
                font_thickness, 
                lineType = cv2.LINE_AA)

cv2.imshow("Result Image", img)
cv2.waitKey(0)
cv2.destroyAllWindows()

下面是不使用textwrap(运行你的代码)的输出图像:

Below is the output image without using textwrap(running your code):

以下是使用textwrap(我的代码)的输出图像:

Below is the output image using textwrap(my code):

您可以通过许多其他方法实现相同的目标，但 textwrap 无疑是 OpenCV 中实现此目的的一种方法，而且也很简单.

There are many other ways you can achieve the same but textwrap is certainly one way of doing so in OpenCV and is simple too.

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