vnet.pytorch | A PyTorch implementation for V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image | Machine Learning library

 by   mattmacy Python Version: Current License: BSD-3-Clause

kandi X-RAY | vnet.pytorch Summary

kandi X-RAY | vnet.pytorch Summary

vnet.pytorch is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Pytorch applications. vnet.pytorch has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

A PyTorch implementation for V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation

            kandi-support Support

              vnet.pytorch has a low active ecosystem.
              It has 623 star(s) with 203 fork(s). There are 25 watchers for this library.
              It had no major release in the last 6 months.
              There are 25 open issues and 8 have been closed. On average issues are closed in 18 days. There are 1 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of vnet.pytorch is current.

            kandi-Quality Quality

              vnet.pytorch has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              vnet.pytorch is licensed under the BSD-3-Clause License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              vnet.pytorch releases are not available. You will need to build from source code and install.
              Build file is available. You can build the component from source.

            Top functions reviewed by kandi - BETA

            kandi has reviewed vnet.pytorch and discovered the below as its top functions. This is intended to give you an instant insight into vnet.pytorch implemented functionality, and help decide if they suit your requirements.
            • Run inference
            • Adjust optimizer for optimizer
            • Wrapper function for rolling rolling
            • Save a checkpoint
            • Perform a batch normalization
            • Check input dimension
            • Return a datetime object
            Get all kandi verified functions for this library.

            vnet.pytorch Key Features

            No Key Features are available at this moment for vnet.pytorch.

            vnet.pytorch Examples and Code Snippets

            Initialize the viewer .
            pythondot img1Lines of Code : 9dot img1License : Permissive (MIT License)
            copy iconCopy
            def __init__(self, position, create_asteroid_callback, size=3):
                    self.create_asteroid_callback = create_asteroid_callback
                    self.size = size
                    size_to_scale = {3: 1.0, 2: 0.5, 1: 0.25}
                    scale = size_to_scale[size]

            Community Discussions


            AttributeError: 'Image' object has no attribute 'new' occurs when trying to use Pytorchs AlexNet Lighting preprocessing
            Asked 2018-Aug-11 at 16:51

            I tried to train my model on ImageNet using inception and Alexnet like preprocessing. I used Fast-ai imagenet training script provided script. Pytorch has support for inception like preprocessing but for AlexNets Lighting, we have to implement it ourselves :



            Answered 2018-Aug-11 at 16:51

            Thanks to @iacolippo's comment, I finally found the cause!

            Unlike the example I wrote here, in my actual script, I had used transforms.ToTensor() after the lighting() method. Doing so resulted in a PIL image being sent as the input for lightining()which expects a Tensor and that's why the error occurs.

            So basically the snippet I posted in the question is correct and .ToTensor has to be used prior to calling Lighting().



            Axes don't match array error in pytorch
            Asked 2017-Sep-12 at 17:28

            I was trying to run the vnet implementation in pytorch ( and after normalising the scans with



            Answered 2017-Sep-12 at 17:28

            comment the lines 417 and 418. the issue will get fixed

            the issue is because of these 2 lines


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


            No vulnerabilities reported

            Install vnet.pytorch

            You can download it from GitHub.
            You can use vnet.pytorch 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.


            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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            gh repo clone mattmacy/vnet.pytorch

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