fromPILimportImage# 打开图片文件image=Image.open('image.jpg')# 读取图片image_data=image.load()# 获取图片的宽度和高度width,height=image.size# 调整图片大小new_width=width*2new_height=height*2resized_image=image.resize((new_width,new_height))# 保存图片resized_image.save('resized_image.jpg') 1...
图像缩放倍数resize操作 在Pillow库中,可以使用resize()函数来实现图像的缩放操作。该函数可以接受一个大小元组作为参数,表示缩放后的宽度和高度,也可以接受一个整数作为参数,表示缩放的倍数。 下面是一个简单的示例,演示如何使用Pillow库对图像进行缩放操作: fromPILimportImage# 打开图像文件img=Image.open('example.jp...
suffix:str=f"_{scale}_{nw}x{nh}"resize_name:str= name_file(image, suffix) _dir: Path = image.absolute().parent im.save(_dir/ resize_name)ifnotquiet:print(f"resized image saved to{resize_name}.")ifimages == []:print(f"No images found at search pattern '{pattern}'.")returnif...
然后，根据需要调整新图片的大小，例如将宽度和高度缩小一半。最后，使用 resize 函数调整图片大小，并使用...
使用Pillow时,可以使用Image.open()和resize()函数: fromPILimportImageimg = Image.open('original.jpg')resized = img.resize((224,224)) 要裁剪图像,可以使用img.crop(): width, height=img.sizesize=min(width, height)left=(width-size)/2top=(height-size)/2right=(width+size)/2bottom=(height+si...
typer.secho("Image Size Reduction Has Done Successfully! ", fg=typer.colors.GREEN) exit() 3.放大图片的尺寸 @app.command() defenlarge(path: str, factor: int): image = Image.open(path) resized_img = image.resize((round(image.size[0]*factor), round(image.size[1]*factor))) ...
下面利用python Image 库 resize函数,由一个大图,自动生成1x,2x,3x的素材照片; 1. 首先你的python环境要安装有Image库, 即PIL 没有安装的,下载源码http://effbot.org/downloads/Imaging-1.1.7.tar.gz 安装PIL: $tarxvfz Imaging-1.1.7.tar.gz
In this example, we download an image from a URL and save it assan_francisco.jpgin thedownloaded_images/directory. Check outPyTorch Resize Images 4. Using Matplotlib Matplotlib is a plotting library, but it can also be used to save images, especially when you’re working with plots and visu...
OpenCV Resize Image - We learn the syntax of cv2.resize() and how to use this function to resize a given image. We can use cv2.resize() function to upscale, downscale, or resize to a desired size (considering or not considering the aspect ratio).
It also performs two eager transformations that resize the video to a square and a small rectangle. Python cloudinary.uploader.upload_large("dog.mp4", resource_type = "video", public_id = "dog_closeup", chunk_size = 6000000, eager = [ { "width": 300, "height": 300, "crop": "...