#let's write the text you want to put on the image text = 'This is a black silk beauty!' #org: Where you want to put the text org = (50,350) # write the text on the input image cv2.putText(imageText, text, org, fontFace = cv2.FONT_HERSHEY_COMPLEX, fontScale = 1.5, color...
# 加载图像文件image=cv2.imread('path/to/image.jpg') 1. 2. 请注意,你需要将'path/to/image.jpg'替换为实际的图像文件路径。 3. 图像写入 在加载图像后,我们可以开始进行图像写入操作了。下面是代码示例: # 创建一个用于写入图像的文件或数据流output_file='path/to/output.jpg'# 将图像写入到文件或数...
So, if we need to preserve the original image for some reason, we can simply copy it and write the text on the copy. This post explains how to copy an image. 1 cv2.putText(img, "My text", (0, 30), cv2.FONT_HERSHEY_SIMPLEX, 1.0, (0, 0, 0), 4) Now that we have drawn ...
file = open("recognized.txt", "a") # Apply OCR on the cropped image text = pytesseract.image_to_string(cropped) # Appending the text into file file.write(text) file.write("\n") # Close the file file.close python识别图片文字输出结果: 最终文本文件: 检测到的文本块:...
参考地址:https://opencv-python-tutorials.readthedocs.io/zh/latest/ 安装 pip install opencv-python import cv2 as cv 以下所有内容来自上边连接中整理,使用中参考上边连接中的文档 图片 import cv2 as cv from matplotlib import pyplot as plt def image(): # 以灰度方式打开图片 img = cv.imread('C:\...
本书基于成熟的OpenCV库,采用Python语言,通过大量的实际应用示例,介绍图像处理和计算机视觉算法。书中的示例以最近几年的最新科研进展为主,如人脸识别、目标跟踪、二维码识别、手势识别等。读者通过这些实用示例可以快速透彻理解算法理论,同时提高将理论应用于实践的能力。 本书提供配套的源代码,方便读者学习实践。本书可...
原文:Mastering OpenCV 4 with Python 协议:CC BY-NC-SA 4.0 译者:飞龙 本文来自【ApacheCN 计算机视觉 译文集】,采用译后编辑(MTPE)流程来尽可能提升效率。 当别人说你没有底线的时候,你最好真的没有;当别人说你做过某些事的时候,你也最好真的做
示例:Python OpenCV 显示图像 Python 3 # Python code to read image import cv2 # To read image from disk, we use # cv2.imread function, in below method, img = cv2.imread("geeks.png", cv2.IMREAD_COLOR) # Creating GUI window to display an image on screen ...
('image',img)#显示图片(图片名称,源图片)cv2.waitKey(0)#等待按下‘0’cv2.destroyAllWindows()#释放所有窗口”“”#导入matplotlib.pyplot'''plt.imshow(img,cmap='gray', interpolation='bicubic')plt.plot([50,100],[80,100],'c',linewidth=5)plt.show()'''cv2.imwrite('watchgray.png',img)#...
img=cv2ImgAddText(img,name,x+10,y-10) frame=cv.resize(img,(1280, 720)) writer.write(frame) cv.imshow('result',img) def name(): path = r'D:\python\opencv\jm' #names = [] imagePaths=[os.path.join(path,f) for f in os.listdir(path)] ...