we will use PIL library to write text on image. i will share with you two simple examples, one will simply add text on the image, and in another example, we will add text with a custom font family. so let's see both examples one by one. Example 1: You need to take the "sample...
本文的 Stack Overflow 网址:https://stackoverflow.com/questions/50854235/how-to-draw-chinese-text-on-the-image-using-cv2-puttextcorrectly-pythonopen 1importcv22fromPILimportImageFont, ImageDraw, Image3importnumpy as np45#读取彩色图片,注意,这里一定要是彩色图片,不然会报 :function takes exactly 1 ar...
importpytesseractfromPILimportImage # 读取图片 im=Image.open('sentence.png')# 识别文字,并指定语言 string=pytesseract.image_to_string(im,lang='chi_sim')print(string) 在识别时,我们设置lang='chi_sim',也就是把语言设置为简体中文,只有当你的tessdata目录下有简体中文包该设置才会生效。下面是我们用来识...
5 Image.eval(f,i) -- applying a function f to each pixel of image i 6 Image.merge(mode,bandList) --Creates a multi-band image from a sequence of single-band images of equal size 以下是Image对象的全部方法: The ImageDraw Module 支持2D图像The ImageDraw module provide basic 2D graphics ...
Python之PIL库中的ImageDraw对象提示 ‘ImageFont‘ object has no attribute ‘getmask2‘,程序员大本营,技术文章内容聚合第一站。
此Python脚本使用Python图像库(PIL)来调整图像大小和裁剪图像。它有助于为不同的显示分辨率或特定目的准备图像。 9.2为图像添加水印 代码语言:javascript 代码运行次数:0 运行 AI代码解释 ``` # Python script to add watermarks to images from PIL import Image from PIL import ImageDraw from PIL import ImageFo...
from PIL import ImageGrab, Image,ImageFont,ImageDraw t_capture = 60 # 最长抓屏时间 frame = 5 # 每秒帧数 sleepTime = 1.0 / frame # 抓屏休眠时间 def word_to_image(): """ 绘制最后一帧,提示观众播放完毕 """ text1 = r"The End !" ...
f.write(data) f.close() def openfile(): file_path=askopenfilename() img =CV2.imread(file_path) HSV =CV2.cvtColor(img,CV2.COLOR_BGR2HSV) CV2.imshow('image', img) CV2.setMouseCallback("image", getposBgr) CV2.waitKey(0)
图像对象 Image– from file or newly created 所有的图片操作必须有一个操作对象,例如Pil提供open(filename)进行这个过程,此后,一切关于图片的操作均基于这个对象。有以下几种创建image对象的方式: 1 Image.open(f) >>>importImage >>> >>> Im = Image.open("lena.jpg") ...
PIL_img = Image.open(imagePath).convert('L') # convert it to grayscale img_numpy = np.array(PIL_img,'uint8') id = int(os.path.split(imagePath)[-1].split(".")[1]) faces = detector.detectMultiScale(img_numpy) for (x,y,w,h) in faces: ...