LFFN | Tensorflow code for our paper Lightweight Feature Fusion | Computer Vision library

 by   qibao77 Python Version: Current License: No License

kandi X-RAY | LFFN Summary

kandi X-RAY | LFFN Summary

LFFN is a Python library typically used in Artificial Intelligence, Computer Vision, Deep Learning, Pytorch, Tensorflow applications. LFFN has no bugs, it has no vulnerabilities and it has low support. However LFFN build file is not available. You can download it from GitHub.

Tensorflow code for our paper "Lightweight Feature Fusion Network for Single Image Super-Resolution" (SPL2019)
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            kandi-support Support

              LFFN has a low active ecosystem.
              It has 11 star(s) with 2 fork(s). There are 2 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 4 open issues and 0 have been closed. On average issues are closed in 356 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of LFFN is current.

            kandi-Quality Quality

              LFFN has no bugs reported.

            kandi-Security Security

              LFFN has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              LFFN does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
              OutlinedDot
              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              LFFN releases are not available. You will need to build from source code and install.
              LFFN has no build file. You will be need to create the build yourself to build the component from source.
              Installation instructions are not available. Examples and code snippets are available.

            Top functions reviewed by kandi - BETA

            kandi has reviewed LFFN and discovered the below as its top functions. This is intended to give you an instant insight into LFFN implemented functionality, and help decide if they suit your requirements.
            • Train the model
            • Evaluate the given test_filenames
            • Restore a model
            • Runs the test case
            • Runs the model
            • Perform an evaluation on an image
            • Build the graph
            • Multipy Module
            • Implements the SFFM module
            • Create a spindle block
            • Build an input image
            • Resample an image using pil
            • Set image alignment
            • Convert two images to RGB
            • Convert an RGB image to RGB
            • Upsample weight matrix
            • Upsample filter
            • Build the training optimizer
            • Adds the optimizer op
            • Delete a directory
            • Builds the summary op
            • Res block with block number
            • Load a model
            • Compute the mean squared difference between two images
            • Copies the tensorboard log to the given archive
            • Print the progress of the training epoch
            • Calculate the loss image between two images
            • Runs the test results
            Get all kandi verified functions for this library.

            LFFN Key Features

            No Key Features are available at this moment for LFFN.

            LFFN Examples and Code Snippets

            No Code Snippets are available at this moment for LFFN.

            Community Discussions

            QUESTION

            PHP Warning: Illegal string offset '' while iterating through an array
            Asked 2020-May-06 at 13:13

            I keep recieving an "Warning: Illegal string offset " error when trying to iterate over an array.

            My result after using var_dump ---> array(19) { ["id"]=> int(1) ["handle"]=> string(4) "test" ["blockname"]=> string(0) "" ["project"]=> string(0) "" ["document_description"]=> string(4) "test" ["project_id"]=> string(0) "" ["revision"]=> string(0) "" ["scale"]=> string(0) "" ["document_num"]=> string(9) "test-1557" ["drawn_by"]=> string(0) "" ["approved_by"]=> string(0) "" ["checked_by"]=> string(0) "" ["issued_by"]=> string(0) "" ["drawn_date"]=> string(0) "" ["approved_date"]=> string(0) "" ["checked_date"]=> string(0) "" ["issued_date"]=> string(0) "" ["purpose"]=> string(0) "" ["notes"]=> string(0) "" }

            So I assume it is actually an array?

            And then I also check that its an array before running the loop. The error is repeated for the number of times I expect the loop to run, so it seems to be 'iterating'. Im just not getting the expected result.

            My code

            ...

            ANSWER

            Answered 2020-May-06 at 13:13

            Found the answer..

            My sql statement was returning..

            Source https://stackoverflow.com/questions/61565000

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

            Vulnerabilities

            No vulnerabilities reported

            Install LFFN

            You can download it from GitHub.
            You can use LFFN like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

            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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            CLONE
          • HTTPS

            https://github.com/qibao77/LFFN.git

          • CLI

            gh repo clone qibao77/LFFN

          • sshUrl

            git@github.com:qibao77/LFFN.git

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