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

X-Ray Key Features Code Snippets(1)Community Discussions(2)Vulnerabilities Install Support

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

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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.

Quality

vnet.pytorch has 0 bugs and 0 code smells.

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.

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.

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 .

python

Lines of Code : 9

License : Permissive (MIT License)

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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]
        s

Community Discussions

Trending Discussions on vnet.pytorch

AttributeError: 'Image' object has no attribute 'new' occurs when trying to use Pytorchs AlexNet Lighting preprocessing

Axes don't match array error in pytorch

QUESTION

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 :

...

ANSWER

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().

Source https://stackoverflow.com/questions/51685753

QUESTION

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 (https://github.com/mattmacy/vnet.pytorch) and after normalising the scans with

...

ANSWER

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

Source https://stackoverflow.com/questions/45618655

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

Vulnerabilities

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.

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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