To show a PIL image in Jupyter Notebook: Use the Image.open() method from the Pillow module to open the image file. Use the display() function from the IPython.display module to show the image. main.py from PIL import Image from IPython.display import display pil_image = Image.open('...
im_path = r'F:\Jupyter Notebook\csv_time_datetime_PIL\rabbit.jpg'im = Image.open(im_path) width, height = im.size# 宽高print(im.size, width, height)# 格式,以及格式的详细描述print(im.format, im.format_description) im.save(r'C:\Users\Administrator\Desktop\rabbit_copy.jpg') im.show...
im_path = r'F:\\Jupyter Notebook\\csv_time_datetime_PIL\\rabbit.jpg' im = Image.open(im_path) width, height = im.size#宽高 print(im.size, width, height)#格式,以及格式的详细描述 print(im.format, im.format_description) im.save(r'C:\\Users\\Administrator\\Desktop\\rabbit_copy.jpg...
1.2 使用PIL.Image打开图片 1、Image打开图片使用的内部方法open; 2、im.size=(1920, 1080) ,1920是width,1080是height 3、使用plt.imshow()方法显示图片,我在pycharm中运行始终没有显示,但在jupyter可以显示,暂时不知道为啥 import numpy as np from PIL import Image import matplotlib.pyplot as plt path = ...
im=Image.open('house.webp')im.show() The code sample assumes that you have the followinghouse.webpimage in the same directory as your Python script. You can right-click on the image and select"Save image as"to download it. Here is the output of running the file withpython main.py. ...
importpsutil #查询系统进程库fromPILimportImage #图片操作库importtime im=Image.open(r"D:\desktop\untitled.png") #打开文件 process_list=[]forprocinpsutil.process_iter(): #迭代获取进程 process_list.append(proc)print(process_list) im.show() #展示图片forprocinpsutil.process_iter():ifnotprocinpr...
在OpenCV4的版本当中并不需要创建一个窗体再去显示了,inshow这个函数会自动检测是否有这个窗体,如果没有就新建一个这个名称的窗体并且在这个窗体上显示图片 注意:在jupyter的文件当中使用inshow还在显示出来一个窗体,所以更简易使用: img2 = img[:,:,::-1] # 转化图像到RGB ...
show(img1) 5 NameError: name 'Image' is not defined 图片缩放 In [18] #打开图片 img1 = Image.open('/home/aistudio/work/123.jpg') plt.imshow(img1) plt.show(img1) width,height = img1.size #缩放 img2_resize_result = img1.resize((int(width*0.3),int(height*0.3)),Image.ANTI...
image=Image.open("plane.jpg")image.show()img=cv2.cvtColor(numpy.asarray(image),cv2.COLOR_RGB2BGR)cv2.imshow("OpenCV",img)cv2.waitKey() 4、使用pytorch读取一张图片并进行分类预测 需要注意两个问题: 输入要转换为:[1,channel,H,W] 对输入的图像进行数据增强时要求是PIL.Image格式的 ...
# Display the image: # result_img.show() # Note: please comment this line when hand in. # If you are running on a server, use # result.save('test.jpg') # and copy the file to local or use Jupyter Notebook to render. # End of TODO return result_img Example #29...