img = cv2.cvtColor(np.asarray(img_PIL), cv2.COLOR_RGB2BGR) return img# 读入图片src = cv.imread('add_text_to_image.jpg')## # 调用cv.putText()添加文字# start=time.time()# text = "Your are so beautiful! 记得覅"AddText = src.copy()## cv.putText(AddText, text, (200, 100),...
三、图像绘制文字支持中文 使用cv2.putText()绘制文字默认不支持中文,我们使用PIL库来写中文,代码如下: 代码语言:javascript 代码运行次数:0 运行 AI代码解释 #-*-coding:utf-8-*-importcv2import numpyasnpfromPILimportImage,ImageDraw,ImageFont defcv2ImgAddText(img,text,left,top,textColor=(0,255,0),text...
4))plt.plot([1,2,3,4,5])sht_2.pictures.add(fig,name='MyPlot',update=True)...
0),50)print(name)# 绘制置信度src_img=cv2ImgAddText(src_img,confidence,x+5,y+h-30,(255,0...
使用cv2.putText()绘制文字默认不支持中文,我们使用PIL库来写中文,代码如下: # -*- coding: utf-8 -*- import cv2 import numpy as np from PIL import Image, ImageDraw, ImageFont def cv2ImgAddText(img, text, left, top, textColor=(0, 255, 0), textSize=20): ...
def cv2_img_add_text(img, text, coordinate, text_color=(0, 255, 0), text_size=20): img = Image.fromarray(cv2.cvtColor(img, cv2.COLOR_BGR2RGB)) # 创建一个可以在给定图像上绘图的对象 draw = ImageDraw.Draw(img) # 字体的格式 # path_to_ttf = r"res/1637502741931078.ttc" path_to_...
draw.text((110,70),u'程程',(0,0,0),font=newfont) 四、数据库文字回填 #!/usr/bin/python#-*- coding: UTF-8 -*-importosfromPILimportImage,ImageFont,ImageDrawimportpymysqlimportsysimportdatetimeimportcv2 reload(sys) sys.setdefaultencoding('utf8')defDrawID(): ...
(1000, 100), interpolation=cv2.INTER_CUBIC) # dsize=（2*width,2*height）cv2.imwrite(path+str(i)+filename, res)ax.add_patch(plt.Rectangle((bbox[], bbox[1]),bbox[2] -bbox[],bbox[3] -bbox[1], fill=False,edgecolor='red', linewidth=3.5) )ax.text(bbox[], bbox[1]...
ders=detector(img,1)win.set_image(img)win.add_overlay(ders)dlib.hit_enter_to_continue() 2.2 face_recognition 库的安装与实例解析 face_recognition 库是基于 dlib 进行了二次封装,号称世界上最简洁的人脸识别库。 训练数据集:Labeled Faces in the Wild,13000 多人脸作为训练数据集,识别效果取决于样本的...
image = cv2.imread(str(inputImage)) qrCodeDetector = cv2.QRCodeDetector() decodedText, points, _ = qrCodeDetector.detectAndDecode(image) qr_data = decodedText.split(",") print("qr data from fucntion: {}".format(qr_data)) if points is not None: ...