covid-if-annotations | Annotation Tool for Immunofluorescence Assay Images | Data Labeling library

by hci-unihd Python Version: Current License: MIT

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

kandi X-RAY | covid-if-annotations Summary

covid-if-annotations is a Python library typically used in Artificial Intelligence, Data Labeling applications. covid-if-annotations 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.

Annotation Tool for Immunofluorescence Assay Images

Support

Quality

Security

License

Reuse

Support

covid-if-annotations has a low active ecosystem.

It has 2 star(s) with 4 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

There are 10 open issues and 16 have been closed. On average issues are closed in 4 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of covid-if-annotations is current.

Quality

covid-if-annotations has 0 bugs and 0 code smells.

Security

covid-if-annotations has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

covid-if-annotations code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

covid-if-annotations is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

covid-if-annotations 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.

Installation instructions, examples and code snippets are available.

It has 887 lines of code, 63 functions and 20 files.

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

Top functions reviewed by kandi - BETA

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

launchovid if annotation is not provided
Validate an h5 file .
Update the segmentation layers .
Connect to the given viewer .
Reads the cell segmentation layer .
Read the layers from a file .
Read a table from a file .
Write a table .
Go to the next label .
Save labeled labels .

Get all kandi verified functions for this library.

covid-if-annotations Key Features

No Key Features are available at this moment for covid-if-annotations.

covid-if-annotations Examples and Code Snippets

No Code Snippets are available at this moment for covid-if-annotations.

Community Discussions

Trending Discussions on Data Labeling

How can I do this split process in Python?

Replacing a character with a space and dividing the string into two words in R

Azure ML FileDataset registers, but cannot be accessed for Data Labeling project

QUESTION

How can I do this split process in Python?

Asked 2021-Dec-30 at 14:06

I'm trying to make a data labeling in a table, and I need to do it in such a way that, in each row, the index is repeated, however, that in each column there is another Enum class.

What I've done so far is make this representation with the same enumerator class.

A solution using the column separately as a list would also be possible. But what would be the best way to resolve this?

...

ANSWER

Answered 2021-Dec-30 at 13:57

Instead of using Enum you can use a dict mapping. You can avoid loops if you flatten your dataframe:

Source https://stackoverflow.com/questions/70532286

QUESTION

Replacing a character with a space and dividing the string into two words in R

Asked 2020-Nov-18 at 07:32

I have a dataframe that contains a column that includes strings separeted with semi-colons and it is followed by a space. But unfortunately in some of the strings there is a semi-colon that is not followed by a space.

In this case, This is what i'd like to do: If there is a space after the semi-colon we do not need a change. However if there are letters before and after the semi-colon, we should change semi-colon with space

i have this:

...

ANSWER

Answered 2020-Nov-16 at 07:24

Try something like:

Source https://stackoverflow.com/questions/64853962

QUESTION

Azure ML FileDataset registers, but cannot be accessed for Data Labeling project

Asked 2020-Oct-28 at 20:31

Objective: Generate a down-sampled FileDataset using random sampling from a larger FileDataset to be used in a Data Labeling project.

Details: I have a large FileDataset containing millions of images. Each filename contains details about the 'section' it was taken from. A section may contain thousands of images. I want to randomly select a specific number of sections and all the images associated with those sections. Then register the sample as a new dataset.

Please note that the code below is not a direct copy and paste as there are elements such as filepaths and variables that have been renamed for confidentiality reasons.

...

ANSWER

Answered 2020-Oct-27 at 22:39

Is the data behind virtual network by any chance?

Source https://stackoverflow.com/questions/64546521

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

Vulnerabilities

No vulnerabilities reported

Install covid-if-annotations

You can download the software here:.
Windows.
Mac
For Linux, install via conda
MacOS: download the file, double-click to extract the .app file from the archive. Right-click the .app file and select "Open" from the menu. It will ask if you are sure, since you have downloaded this file from here and not from the app store. Press the "Open" button and the tool main window should appear.
Windows: download the .exe file and double click it to start the installation process. First, you'll have to accept the license agreement. In the next step, you can choose whether to install the covid-if-annotations tool for every user on your computer or just for you. In most cases, "Just me" should be the best option. After setting the installation path you can see the advanced options. Please make sure that both checkboxes are not checked (see image below). Proceed from there by clicking on install. Once the installation process is done, you can run the covid-if-annotations tool by finding it in the start menu and clicking on it.
To obtain an image for annotation.
Visit https://annotate.embl.de/ (only available from within the EMBL network, use VPN if you are not on campus)
Register and Login
Go to Download and press Download Image to get a new image
Open a terminal and make sure your conda is activated. Then run the following commands:. You can then run the plugin via the command. TODO we need to build this conda-package.
In order to install the software, open a terminal, clone this repository Set up a conda environment with all dependencies and activate it:.
example data with initial infected labels
example data without initial infected labels