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This article mainly introduces "Python PIL library for target detection method is what", in daily operation, I believe many people in Python PIL library for target detection method is what the problem is, Xiaobian consulted all kinds of information, sorted out simple and easy to use operation method, I hope to answer "Python PIL library for target detection method is what" doubts help! Next, please follow the small series to learn together!

Experimental code display:

from PIL import Image,ImageFont, ImageDrawimport numpy as npimport colorsysimage = Image.open("bryant.jpg")class_names = \["aeroplane", "bicycle", "bird", "boat", "bottle", "bus", "car", "cat", "chair", "cow", "diningtable", "dog", "horse", "motorbike", "person", "pottedplant", "sheep", "sofa", "train", "tvmonitor"]hsv_tuples = [(x / len(class_names), 1., 1.) for x in range(len(class_names))] #Get different colors in hsv format = list(map(lambda x: colorsys.hsv_to_rgb(*x), hsv_tuples)) #Get different colors in rgb format colors = list (map(lambda x: (int(x[0] * 255), int (x[1] * 255), int (x[2] * 255)),colors) #Adjust the chromaticity of the corresponding border of different categories by hsv format font = ImageFont.truetype (font='simhei. ttf', size=np.floor(3e-2 * 1000 + 0.5). atype ('int 32')) #Get font # label = '{} {:.2f}'.format ('linmazi', 0.982)label = '{} {:.2f}'.format ('Lin Pozi ', 0.982)draw = ImageDraw.Draw(image) label_size = draw.textsize (label, font)print ('label_size:',label_size) # label_size: (165, 29)label = label.encode('utf-8')# print(label)for i in range(8):#Make the rectangle thicker draw.rectangle ([100+i, 150+i, 300-i, 600-i],outline=colors[class_names.index('car')])draw.rectangle ([400, 350, 500, 600],outline=colors[class_names.index('tvmonitor')],width=8)draw.rectangle ([600, 350, 750, 600],outline=colors[class_names.index('motorbike')],width=8,fill=colors[class_names.index ('diningtable')] #used to fill)# draw.text([600, 350], str(label,'UTF-8'), fill=(0, 0, 0), font=font)draw.text([600, 50], label.decode(), fill=(255, 0, 0), font=font)image.show()

Console output:

Copyright (C) Microsoft Corporation. All rights reserved. Trying the new Cross-Platform PowerShell https://aka.ms/pscore6 took 1017 milliseconds to load personal and system profiles. (base) PS C:\Users\chenxuqi\Desktop\News4cxq\test4cxq\news> conda activate ssd4pytorch2_2_0(ssd4pytorch2_2_0) PS C:\Users\chenxuqi\Desktop\News4cxq\test4cxq\news> & 'D:\Anaconda3\envs\ssd4pytorch2_2_0\python.exe' 'c:\Users\chenxuqi\.vscode\extensions\ms-python.python-2020.12.424452561\pythonFiles\lib\python\debugpy\launcher' '53058' '--' 'c:\Users\chenxuqi\Desktop\News4cxq\test4cxq\news\test15.py'label_size: (165, 29)(ssd4pytorch2_2_0) PS C:\Users\chenxuqi\Desktop\News4cxq\test4cxq\news>

Screenshot of running results:

Program artwork:

At this point, the study of "What is the method used by Python PIL library for target detection" is over, hoping to solve everyone's doubts. Theory and practice can better match to help everyone learn, go and try it! If you want to continue learning more relevant knowledge, please continue to pay attention to the website, Xiaobian will continue to strive to bring more practical articles for everyone!

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