napari-micromanager | GUI interface between napari and micromanager | Data Labeling library

by tlambert03 Python Version: Current License: BSD-3-Clause

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

kandi X-RAY | napari-micromanager Summary

napari-micromanager is a Python library typically used in Artificial Intelligence, Data Labeling applications. napari-micromanager has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install napari-micromanager' or download it from GitHub, PyPI.

GUI interface between napari and micromanager. Experimental! Work in progress! Here be . This napari plugin was generated with Cookiecutter using with @napari's cookiecutter-napari-plugin template.

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Support

napari-micromanager has a low active ecosystem.

It has 30 star(s) with 4 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

There are 24 open issues and 14 have been closed. On average issues are closed in 61 days. There are 15 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of napari-micromanager is current.

Quality

napari-micromanager has no bugs reported.

Security

napari-micromanager has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

napari-micromanager 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

napari-micromanager releases are not available. You will need to build from source code and install.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

Installation instructions, examples and code snippets are available.

Top functions reviewed by kandi - BETA

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

Create the GUI
Creates a QW widget for the shutter button
Adds a new camera widget
Adds a QWidgetObjectives widget to the model
Adds a channel explorer
Sets the current text in the combobox
Set the value of the combobox
Called when an event is received
Return the indices of the event
Set current text
Rebuilds the widget
Set camera
Called when the system is loaded
Check if all presets have the same properties
Change crop button
Called when a property has changed
Toggle live mode
Called when the camera has changed
Called when the system configuration is loaded
Called when a config set has changed
Called when MDA is finished
Create the gui
Create a QWidget
Initialize the viewer
Refreshes the combobox
Called when the sequence is finished
Update the viewer

Get all kandi verified functions for this library.

napari-micromanager Key Features

No Key Features are available at this moment for napari-micromanager.

napari-micromanager Examples and Code Snippets

No Code Snippets are available at this moment for napari-micromanager.

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