DPIR | Play Image Restoration with Deep Denoiser Prior | Computer Vision library

 by   cszn Python Version: Current License: MIT

kandi X-RAY | DPIR Summary

kandi X-RAY | DPIR Summary

DPIR is a Python library typically used in Manufacturing, Utilities, Machinery, Process, Artificial Intelligence, Computer Vision, Deep Learning, Pytorch applications. DPIR has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However DPIR build file is not available. You can download it from GitHub.

Plug-and-Play Image Restoration with Deep Denoiser Prior (IEEE TPAMI 2021) (PyTorch)
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            kandi-support Support

              DPIR has a low active ecosystem.
              It has 474 star(s) with 82 fork(s). There are 9 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 15 open issues and 2 have been closed. On average issues are closed in 151 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of DPIR is current.

            kandi-Quality Quality

              DPIR has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              DPIR 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

              DPIR releases are not available. You will need to build from source code and install.
              DPIR 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.
              DPIR saves you 1616 person hours of effort in developing the same functionality from scratch.
              It has 3591 lines of code, 271 functions and 19 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed DPIR and discovered the below as its top functions. This is intended to give you an instant insight into DPIR implemented functionality, and help decide if they suit your requirements.
            • Test mode
            • Evaluate a single model on a given model
            • Evaluate the split_split_fn
            • Test for padding
            • Resize a NumPy array
            • Calculate the indices of the indices
            • Compute a cubic cubic cubic cubic
            • Smooths an image
            • Pad a tensor with the given padding
            • Perform D PSR decomposition
            • Bicubic angle
            • Augment image tensor
            • Computes the CFA of a given RGB image
            • Wrap the boundary of an image
            • Download a pretrained model
            • Gradient of an image
            • Read an RGB image
            • Splits an array into chunks
            • Pad the input tensor with the given padding
            • Calculate fft and fft
            • Wrapper function for srmd_degradation
            • Calculate the similarity between two images
            • Wrapper for fspecial filter
            • Calculate the PCA matrix
            • Resize image
            • Inverse of FIR decomposition
            • Blurb the kernel of a trajectory
            Get all kandi verified functions for this library.

            DPIR Key Features

            No Key Features are available at this moment for DPIR.

            DPIR Examples and Code Snippets

            No Code Snippets are available at this moment for DPIR.

            Community Discussions

            QUESTION

            Classic Bluetooth communication (RFCOMM) in Xamarin.Forms
            Asked 2019-Jul-18 at 09:34

            I am looking for Classic Bluetooth communication (RFCOMM)/ serial port communication using classic Bluetooth and not Bluetooth Low Energy(BLE) in Xamarin.Forms preferably. I have some emulator which is hosted on a com port and a Bluetooth adaptor. I want to connect to that Bluetooth adaptor and fetch/read data in my mobile app.

            I had explored Bluetooth Low Energy(BLE) using ble.net plugin but I need to connect to a port i.e. Bluetooth SPP and read data in the mobile app.

            ...

            ANSWER

            Answered 2019-Jul-18 at 09:34

            There's no classic Bluetooth communication APIs in Xamarin.forms. You would have to use the UWP built-in Bluetooth RFCOMM APIs to communicate.

            You could check the Bluetooth RFCOMM chat sample to learn how to use these APIs.

            Source https://stackoverflow.com/questions/57074681

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

            Vulnerabilities

            No vulnerabilities reported

            Install DPIR

            You can download it from GitHub.
            You can use DPIR 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/cszn/DPIR.git

          • CLI

            gh repo clone cszn/DPIR

          • sshUrl

            git@github.com:cszn/DPIR.git

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