Python img4web4/10/2023 ![]() ![]() ![]() Also third party software (like image upload forms in web apps) must allow and handle such file formats which won't happen very often. Such new file formats may provide additional advantages but they need to be supported by for example web browsers if you want to publish an image on the web. Photographs will usually use JPEG, but there are newer formats on the rise like WebP. If needed you can extract Exif data and save it independently of derived image files that have been stripped of it. Removing Exif tags reduces image size a bit but you loose all information about the image. It can be shown by apps that can read Exif data. ![]() By default this data is not visible when viewing such image. Images can also have Exif metadata attached to it - like brand and model of used DSLR, lens and exposure settings. Converting data from 16-bit to 8-bit reduces it size but it’s then less suitable for processing and will likely loose some data during conversion (note that monitors for the most part are 8-bit displays). Also TIFF stores data as 16-bit integers where as JPEG uses 8-bit integers. TIFF is a lossless file format while JPEG uses compression algorithms to vastly decrease file size at the expense of quality. Using additional, much smaller thumbnail is also a common practice. If a user is uploading a TIFF from a DSLR then such image can be converted to JPEG, resized if large and then Exif metadata could be dropped. The very basic thing a website can do is to publish an image in best suited file format and keeping a limit to image dimensions. For a site with multiple images this may be crucial for achieving good conversion ratio of customers or lower bounce rate of users reading a website. Smaller images load faster, consume less data cap and give functional website quicker. Optimizing images for usage on website is quite an important task. All for saving bandwidth and decreasing time needed to load all elements of a webpage.īut what if we have an image that is ready to be posted on a web page by a user that isn't an expert? What tools can we use to automatically optimize uploaded images? In this article I'll go over few Python and service based solutions for image optimization. Image can be converted to different file formats, resized and so on. If you want a feature in PyIMG4, but cannot implement it yourself or want some hints on how to do that, open an issue with label "enhancement".Įxplain if possible the API you would like to have (e.g., give examples of function calls, payload creations, etc.).Image optimization is a broad topic. If you're not sure whether a behavior is a bug or not, submit an issue and ask, don't be shy! If you have installed PyIMG4 through a package manager (from your Linux or BSD system, from PyPI, etc.), please get and install the current development code, and check that the bug still exists before submitting an issue. There is a label "question" that you can use for that. It is OK so submit issues to ask questions (more than OK, encouraged). | # | TYPE = | VERSION = 0x0 | DATA = 'MANIFEST' | SIGNATURE = None | CERTIFICATES = None | MANP = None | DATA = 'MANIFEST' How to contributeĬontributors are essential to PyIMG4 (as they are to most open source projects).ĭrop us a line if you want to contribute. | # | MAGIC = | TYPE = | DESCRIPTION = | DATA = 'BLOB' | KBAG = None From img4 import * > p = IMG4( IM4M = IM4M( DATA = 'MANIFEST'), IM4P = IM4P( DATA = 'BLOB')) ![]()
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