![]() As usual, imgp assumes the current directory as the source unless you specify a different source. If you enter imgp at the command line without specifying any other parameters, the help page ( Figure 1) loads with a list of all the options for manipulating the size or orientation of an image. The tests were run on a PC with a Ryzen 7 3700X CPU with 32GB RAM. The image sizes ranged from around 2 to 5MB, with a total size of 215.7MB. To test out imgp's capabilities, we tried out various imgp command-line options on 65 vacation photos taken with a smartphone. You can also rotate the image clockwise by a freely selectable angle, optimize images to save space, convert PNG to JPEG, delete Exif metadata, and more. Using imgp's options, you can resize image files by specifying a percentage or a resolution. (Jana is also the developer of another useful tool, googler ). The nnn terminal file manager, also developed by Jana, offers batch conversion using imgp as a script. If your distribution ships with an older version of imgp, install the packages from GitHub for DEB and RPM-based distributions or build the package from the source code. The current version 2.8 is available on Arch Linux, CentOS, Debian Testing and Unstable, Devuan, Fedora, openSUSE Leap 15.3, Ubuntu 21.04, and others. To install imgp on a current distribution, you can simply use the package manager in most cases. In testing on an external hard disk with a USB 2 connection, Jana claims to have converted 8,823 images of different resolutions (with a total size of 4.5GB) to a resolution of 1366x1000 pixels in about eight minutes, with the resulting total size dropping to 897MB. On processors that support single instruction, multiple data (SIMD), you can use Pillow-SIMD as an alternative to further speed up processing. The developer, Arun Prakash Jana, achieves this through multicore processing, an adaptive algorithm, and the Python Pillow library. The command-line tool, formerly known as imgd and written in Python, provides functions for resizing images in JPEG and PNG formats, as well as converting from PNG to JPEG, rotating the images, and removing metadata.Įven with thousands of files, imgp does its job at lightning speed. With a large number of images, a batch processing tool such as imgp comes in handy. Optimizing the images can save bandwidth on the network and space on the storage medium. If the images use the original camera resolution, they could severely slow down or even paralyze a website populated with this data. ![]() This example uses pathlib to loop through all files in a folder.Suppose you have hundreds or even thousands of photos that you want to present on a web page. )įor example, the script below shows how to resize all images in your folder called “input” to have a maximum width and height of 512 pixels and preserve the aspect of the image and save them with the same name as JPEG format in 300 dpi in “output” folder. resize(, ) # Then, save the resized image resized_im. # Load image im = Image.open(input_img_path) # Smaller image/ preserve the aspect of the image resized_im = im.thumbnail(, ) # Or Resize image to exact specified size resized_im = im. After that, you can use thumbnail command to smaller the image size down to the specified max-width or max-height value and preserve the aspect of the image. You can loop through each image file in folder using pathlib or os then use Pillow to load the image. Now, let’s see some real examples: Real practice Write support is less extensive, but most common interchange and presentation formats are supported. Over 30 different file formats can be identified and read by the library. The Pillow supports a wide variety of raster file formats. Do some operation # - 3 - im = Image.save(" output_path") Support formats
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