draw=ImageDraw.Draw(img) # 字体的格式 font_style= ImageFont.truetype("simfang.ttf", text_size, encoding="utf-8") # 绘制文本 draw.text((left, top), text, text_color, font=font_style) # 转换回OpenCV格式returncv2.cvtColor(np.asarray(img), cv2.COLOR_RGB2BGR) D:\PycharmProjects\python...
importcv2#加载背景图片bk_img = cv2.imread("background.jpg")#在图片上添加文字信息cv2.putText(bk_img,"Hello World", (100,300), cv2.FONT_HERSHEY_SIMPLEX,0.7,(255,255,255), 1, cv2.LINE_AA)#显示图片cv2.imshow("add_text",bk_img) cv2.waitKey()#保存图片cv2.imwrite("add_text.jpg",bk...
cv2.putText不支持非ascii字符。Try to use PIL to draw NO-ASCII(such Chinese) on the image....
img = cv2.dilate(cv2.erode(img, kernel=kernel, iterations=1), kernel=kernel, iterations=1) # 闭运算 img = cv2.erode(cv2.dilate(img, kernel=kernel, iterations=1), kernel=kernel, iterations=1) #或 opening = cv2.morphologyEx(img, cv2.MORPH_OPEN, kernel) closing = cv2.morphologyEx(img,...
# draw green text on the image# 在图像上绘制绿色文本output=image.copy()cv2.putText(output,"OpenCV + Never Say Die!!!",(10,25),cv2.FONT_HERSHEY_SIMPLEX,0.7,(0,255,0),2)cv2.imshow("Text",output)cv2.waitKey(0) OpenCV的putText函数负责在图像上绘制文本。让我们看看所需的参数: ...
cv2.waitKey(0) (2)C++ // 导入依赖 #include <opencv2/opencv.hpp> #include <iostream> // 命名空间 using namespace std; using namespace cv; int main() { // 读取图像 Mat img = imread("sample.jpg"); // 显示图像 imshow("Original Image", img); ...
import cv2output = image.copy()cv2.rectangle(output, (2600, 800), (4100, 2400), (0, 255, 255), 10)viewImage(output,"Doggo with a rectangle on his face") 矩形框函数接收5个参数: 第一个参数是图像 第二个参数是x1, y1 ——对应左上角 ...
fontScale = 1 fontThickness = 1 # make sure font thickness is an integer, if not, the OpenCV functions that use this may crash fontThickness = int(fontThickness) upperLeftTextOriginX = int(imageWidth * 0.05) upperLeftTextOriginY = int(imageHeight * 0.05) textSize, baseline = cv2.get...
7cv2.putText(img=image,text='What a beautiful girl!',8org=(x,y),9fontFace=cv2.FONT_HERSHEY_TRIPLEX,10fontScale=1,color=(0,0,255))11cv2.imshow('add text on image',image)1213cv2.waitKey()14cv2.destroyAllWindows() 运行结果如下图: ...
cv2.imshow("Image", image) cv2.waitKey(0) 深度是通道数——在我们的例子中是3,因为我们正在使用3个颜色通道:蓝色,绿色和红色(RGB)。 print输出宽、高、深度: width=600, height=322, depth=3 cv2.waitKey(0):等待按键,这一点很重要,否则我们的图像显示和消失的速度将比我们看到图像还要快 ...