medical-image-preprocessing | Functions for pre-processing large images | Function As A Service library

by BMIRDS Python Version: Current License: GPL-3.0

X-Ray Key Features Code Snippets Community Discussions(3)Vulnerabilities Install Support

kandi X-RAY | medical-image-preprocessing Summary

medical-image-preprocessing is a Python library typically used in Serverless, Function As A Service applications. medical-image-preprocessing has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has low support. However medical-image-preprocessing build file is not available. You can download it from GitHub.

Functions for pre-processing large images

Support

Quality

Security

License

Reuse

Support

medical-image-preprocessing has a low active ecosystem.

It has 2 star(s) with 1 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

medical-image-preprocessing has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of medical-image-preprocessing is current.

Quality

medical-image-preprocessing has 0 bugs and 22 code smells.

Security

medical-image-preprocessing has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

medical-image-preprocessing code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

medical-image-preprocessing is licensed under the GPL-3.0 License. This license is Strong Copyleft.

Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

Reuse

medical-image-preprocessing releases are not available. You will need to build from source code and install.

medical-image-preprocessing 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.

It has 799 lines of code, 75 functions and 12 files.

It has low code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed medical-image-preprocessing and discovered the below as its top functions. This is intended to give you an instant insight into medical-image-preprocessing implemented functionality, and help decide if they suit your requirements.

Converts a PNG image to a PNG file .
Compress all the images in the input folder .
Splits an image into pieces
Creates a repieced image from the input folder
Find the bounds of the image .
compress a large image
Remove whitespace from an image .
This method anonymize all images in input_big_folder
Saves the cleaned image .
Get all image names in input big folder .

Get all kandi verified functions for this library.

medical-image-preprocessing Key Features

No Key Features are available at this moment for medical-image-preprocessing.

medical-image-preprocessing Examples and Code Snippets

No Code Snippets are available at this moment for medical-image-preprocessing.

Community Discussions

Trending Discussions on Function As A Service

AngularJS - move repeating functions from controller to service

Start container instance on web request to FQDN

write angular js service to access multiple function

QUESTION

AngularJS - move repeating functions from controller to service

Asked 2021-Jul-28 at 16:14

Hi I'm pretty new at angular JS and i'm trying to refactor my controller and want to move repeating multisort function as a service and call it back in the controller.

Can someone help me in converting this below function as a service as it has all $scope and I know it can't be used in the service or factory:

...

ANSWER

Answered 2021-Jul-28 at 07:19

If you dont want to change the code, you can directly pass $scope to the service and get as scope.

Below is an working example, simplified on your requirement.

Source https://stackoverflow.com/questions/68555795

QUESTION

Start container instance on web request to FQDN

Asked 2020-Dec-17 at 23:09

Let's say we have a (containerized) backend which is only sparely used. Maybe once every couple of days or so, a (static) web front-end calls an API endpoint of that backend.

The backend conveniently happens to be stateless. No data store or anything.

We want to minimize the hosting cost for it, and ideally would like per-second billing. It's only gonna be running for a few minutes every month, and we only want to be charged for that usage. Basically, we want Function as a Service (FaaS), but for a whole backend and not just a single function.

Azure Container Instances appears to be great fit for this scenario. It can spin up the backend in a container when needed. The backend then can shut itself down again after a certain period of non-usage.

So, let's create a container instance...

...

ANSWER

Answered 2020-Dec-17 at 20:36

Azure Container Instances don't have a wehbook or HTTP trigger that will start them. However, you could use an Azure Function or Logic App that would effectively run az container start for you and then call THAT with HTTP. With either of those approaches, you'd have to setup some IAM permissions to give the Function or Logic App permissions to the ACI resource to start it.

One approach would be to:

Create an Azure Function with an HTTP trigger and a managed identity
Give the Managed identity contributor access to ACI container group
Run az container start or the equivalent REST call inside the function to start the ACI container
Call the Azure function (using the function token) to start the container.

Source https://stackoverflow.com/questions/65342897

QUESTION

write angular js service to access multiple function

Asked 2020-Mar-19 at 10:04

I am using below function to loadbenefittypes.

my get data function

...

ANSWER

Answered 2020-Mar-19 at 10:04

To re-factor the code to a service, return the $http promise:

Source https://stackoverflow.com/questions/60750057

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

Vulnerabilities

No vulnerabilities reported

Install medical-image-preprocessing

You can download it from GitHub.
You can use medical-image-preprocessing 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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