optimize-images | line interface utility | Computer Vision library

 by   victordomingos Python Version: 1.5.1 License: MIT

kandi X-RAY | optimize-images Summary

kandi X-RAY | optimize-images Summary

optimize-images is a Python library typically used in Artificial Intelligence, Computer Vision applications. optimize-images has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install optimize-images' or download it from GitHub, PyPI.

A command-line interface (CLI) utility written in pure Python to help you reduce the file size of images. This application is intended to be pure Python, with no special dependencies besides Pillow, therefore ensuring compatibility with a wide range of systems, including iPhones and iPads running Pythonista 3. If you don't have the need for such a strict dependency management, you will probably be better served by any several other image optimization utilities that are based on some well known external binaries. Some aditional features can be added which require the presence of other third-party packages that are not written in pure Python, but those packages and the features depending on them should be treated as optional. If you were just looking for the graphical user interface (GUI) version of this application, it's a separate project: Optimize Images X.
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            kandi-support Support

              optimize-images has a low active ecosystem.
              It has 191 star(s) with 38 fork(s). There are 6 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 8 open issues and 21 have been closed. On average issues are closed in 46 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of optimize-images is 1.5.1

            kandi-Quality Quality

              optimize-images has no bugs reported.

            kandi-Security Security

              optimize-images has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              optimize-images is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              optimize-images releases are available to install and integrate.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              Installation instructions, examples and code snippets are available.

            Top functions reviewed by kandi - BETA

            kandi has reviewed optimize-images and discovered the below as its top functions. This is intended to give you an instant insight into optimize-images implemented functionality, and help decide if they suit your requirements.
            • Optimize a batch of files
            • Downsize an image
            • Runs the optimizer
            • Optimize the image
            • File created event handler
            • Wait for the file to finish
            • Check if file is an image
            • Return the argument parser
            • Get the version information
            • Return supported image formats
            • Optimize a single image
            • Return requirement requirements
            Get all kandi verified functions for this library.

            optimize-images Key Features

            No Key Features are available at this moment for optimize-images.

            optimize-images Examples and Code Snippets

            No Code Snippets are available at this moment for optimize-images.

            Community Discussions

            QUESTION

            How can I resize and reshape images with python?
            Asked 2019-Oct-04 at 01:10

            I want to work with a bunch of images (100+) and I need to keep their aspect ratios (which varies between each other), but resize them to be a maximum of 1000x1000 and have a maximum file size of 100kb.

            I have tried the "optimize-images" package but I couldn't get the results I wanted because I couldn't be specific enough. I also tried resizing with imageio, but the size issue remains. I have read different sources and replies to similar issues, but have found no way of doing this.

            ...

            ANSWER

            Answered 2019-Oct-04 at 01:10

            You could use skimage library.

            Source https://stackoverflow.com/questions/58176648

            QUESTION

            gulp-imagemin is minifying SVG file down to 0kb
            Asked 2018-Jul-23 at 20:00

            I have a single SVG file that holds several tags that represent icons. It looks something like this:

            ...

            ANSWER

            Answered 2018-Jul-23 at 20:00

            Lol woops, I found this issue on the svgo/svgo plugin page that gulp-imagemin uses. It was noted that:

            is considered empty by itself, because it's not rendered. That's why it's being removed by default. You need to turn off removeUselessDefs as suggested above.

            So I added the following options to my task like so:

            Source https://stackoverflow.com/questions/51485953

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install optimize-images

            To install and run this application, you need to have a working Python 3.6+ installation. We try to keep the external dependencies at a minimum, in order to keep compatibility with different platforms, including Pythonista on iOS. At this moment, we require:.
            Pillow==8.2.0
            piexif==1.1.3
            watchdog==2.1.2

            Support

            Please refer to the above links if you want to know about all the options available in this application. For a quick intro, just to get a feeling of what it can do, please keep reading below.
            Find more information at:

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            Install
          • PyPI

            pip install optimize-images

          • CLONE
          • HTTPS

            https://github.com/victordomingos/optimize-images.git

          • CLI

            gh repo clone victordomingos/optimize-images

          • sshUrl

            git@github.com:victordomingos/optimize-images.git

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