imageflow | performance image manipulation for web servers | Computer Vision library

 by   imazen Rust Version: v2.0.0-preview4 License: AGPL-3.0

kandi X-RAY | imageflow Summary

kandi X-RAY | imageflow Summary

imageflow is a Rust library typically used in Artificial Intelligence, Computer Vision applications. imageflow has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has medium support. You can download it from GitHub.

imageflow_tool examples --generate - creates an examples directory with JSON jobs and invocation scripts.
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              imageflow has a medium active ecosystem.
              It has 3942 star(s) with 134 fork(s). There are 72 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 24 open issues and 242 have been closed. On average issues are closed in 610 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of imageflow is v2.0.0-preview4

            kandi-Quality Quality

              imageflow has 0 bugs and 0 code smells.

            kandi-Security Security

              imageflow has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              imageflow code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              imageflow is licensed under the AGPL-3.0 License. This license is Strong Copyleft.
              Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

            kandi-Reuse Reuse

              imageflow releases are available to install and integrate.
              Installation instructions are not available. Examples and code snippets are available.
              It has 398 lines of code, 2 functions and 7 files.
              It has low code complexity. Code complexity directly impacts maintainability of the code.

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            imageflow Key Features

            No Key Features are available at this moment for imageflow.

            imageflow Examples and Code Snippets

            No Code Snippets are available at this moment for imageflow.

            Community Discussions

            QUESTION

            How can a generator (ImageDataGenerator) run out of data?
            Asked 2021-May-19 at 16:39

            Lets start with a folder containing 1000 images.

            Now if we use no generator and batch_size = 10 and steps_per_epoch = 100 we will have used every picture as 10 * 100 = 1000. So increasing steps_per_epoche will (rightfully) result in the error:

            tensorflow:Your input ran out of data; interrupting training. Make sure that your dataset or generator can generate at least steps_per_epoch * epochs batches (in this case, 10000 batches)

            On the other hand using a generator will result in endless batches of images:

            ...

            ANSWER

            Answered 2021-May-19 at 16:39

            How can a generator (ImageDataGenerator) run out of data?

            As far as I know, it creates a tf.data.Dataset from the generator, which does not run infinitely, that's why you see this behaviour when fitting.

            If it was an infinite dataset, then you had to specify steps_per_epoch.

            Edit: If you don't specify steps_per_epoch then the training will stop when number_of_batches >= len(dataset) // batch_size. It is done in every epoch.

            For to inspect what really happens under the hood you can check the source. As it can be seen a tf.data.Dataset is created and that handles batch and epoch iteration actually.

            Source https://stackoverflow.com/questions/67603949

            QUESTION

            Using ImageFlow Server with multiple Azure Containers
            Asked 2021-Jan-20 at 04:58

            I am currently evaluating ImageFlow Server (https://github.com/imazen/imageflow-dotnet-server) to determine if it will meet the needs of a project that I am working on. Working through the documentation, I was able to get the ImageFlow Server connected to Azure Storage using the following:

            ...

            ANSWER

            Answered 2021-Jan-20 at 04:58

            QUESTION

            Keras - flow_from_directory: How to get number of samples in each category?
            Asked 2021-Jan-08 at 16:53

            Is there a way in Keras how to get count of images within each category when using ImageDataGenerator? Let's say I have train folder with 3 subfolders (classes) and each containing some number of images.

            ...

            ANSWER

            Answered 2021-Jan-08 at 16:53

            As far as my knowledge there is no built-in approach to this.

            You can try with collections module.

            Source https://stackoverflow.com/questions/65632501

            QUESTION

            .Net Core - Resizing images using Imageflow
            Asked 2020-Aug-25 at 05:12

            I'm trying to resize images using Imageflow's query string API in my .net core application. I have installed Imageflow.Server. My Configure Method looks like this:

            ...

            ANSWER

            Answered 2020-Jul-24 at 23:22

            This could be a permissions issue. If on-disk permissions do not allow the user account running the app to access the folder, it will fail.

            Source https://stackoverflow.com/questions/62894772

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

            Vulnerabilities

            No vulnerabilities reported

            Install imageflow

            You can download it from GitHub.
            Rust is installed and managed by the rustup tool. Rust has a 6-week rapid release process and supports a great number of platforms, so there are many builds of Rust available at any time. Please refer rust-lang.org for more information.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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