on_the_fly | package contains code accompanying the manuscript | Machine Learning library

 by   ahendriksen Python Version: paper-release License: Non-SPDX

kandi X-RAY | on_the_fly Summary

kandi X-RAY | on_the_fly Summary

on_the_fly is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Pytorch, Tensorflow applications. on_the_fly has no bugs, it has no vulnerabilities, it has build file available and it has low support. However on_the_fly has a Non-SPDX License. You can download it from GitHub.

This package contains code accompanying the manuscript of "On-the-Fly machine learning for improving image resolution in tomography".
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            kandi-support Support

              on_the_fly has a low active ecosystem.
              It has 6 star(s) with 0 fork(s). There are 1 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              on_the_fly has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of on_the_fly is paper-release

            kandi-Quality Quality

              on_the_fly has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              on_the_fly has a Non-SPDX License.
              Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

            kandi-Reuse Reuse

              on_the_fly releases are available to install and integrate.
              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 on_the_fly and discovered the below as its top functions. This is intended to give you an instant insight into on_the_fly implemented functionality, and help decide if they suit your requirements.
            • Find images in path specification
            • Sort a list
            • Load a stack of images
            • Load images
            • Calculate the index of a mask in a vg
            • Computes the extents and shape of the grid
            • Wrapper for bicubicubic
            • Process flexray data
            • Process input file
            • Reconstruct a tomcat region
            • Save the network to file
            • Reconstruct a simulation
            • Reconstruct a flexray from a Proj
            Get all kandi verified functions for this library.

            on_the_fly Key Features

            No Key Features are available at this moment for on_the_fly.

            on_the_fly Examples and Code Snippets

            Running the examples
            Pythondot img1Lines of Code : 28dot img1License : Non-SPDX (NOASSERTION)
            copy iconCopy
            examples
            ├── cone_foam_fast
            │   ├── cone_balls_spec.txt
            │   ├── geometries
            │   └── Makefile
            ├── cone_foam_full
            │   ├── cone_balls_spec.txt
            │   ├── geometries
            │   └── Makefile
            └── cone_foam_j  
            Installing
            Pythondot img2Lines of Code : 16dot img2License : Non-SPDX (NOASSERTION)
            copy iconCopy
            conda create -n otf python=3.6
            source activate otf
            conda install -c astra-toolbox/label/dev  -c aahendriksen -c pytorch -c conda-forge -c owlas \
                    msd_pytorch=0.5.1 \
                    cudatoolkit=9.0 \
                    flexdata \
                    tomopy \
                    dxchan  
            Testing
            Pythondot img3Lines of Code : 7dot img3License : Non-SPDX (NOASSERTION)
            copy iconCopy
            make test/output-unet-B/.dirstamp
            make test/output-unet-A1/.dirstamp
            make test/output-unet-A9/.dirstamp
            make test/output-msd-B/.dirstamp
            make test/output-msd-A1/.dirstamp
            make test/output-msd-A9/.dirstamp
            make test/output-bicubic/.dirstamp
              

            Community Discussions

            Trending Discussions on on_the_fly

            QUESTION

            on-the-fly substitution of `Option>>>`
            Asked 2021-Jun-27 at 09:32

            Suppose I have an object video_source: Option>>> and I pass it to a thread:

            ...

            ANSWER

            Answered 2021-Jun-25 at 05:38

            First, you are correct that T cannnot be a trait like GetVideo; traits are not types. However, T can be dyn GetVideo.

            Second, your aliases have generic parameters, so they should be reflected as such in the function signature:

            Source https://stackoverflow.com/questions/68124777

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

            Vulnerabilities

            No vulnerabilities reported

            Install on_the_fly

            It takes a few steps to setup On the fly machine learning for improving image resolution in tomography on your machine. We recommend installing Anaconda package manager for Python 3.

            Support

            If you have any issues, questions, or remarks, then please open an issue on GitHub.
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            https://github.com/ahendriksen/on_the_fly.git

          • CLI

            gh repo clone ahendriksen/on_the_fly

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            git@github.com:ahendriksen/on_the_fly.git

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