omen | OMEN - A dockerized , collaborative , annotation platform | Data Labeling library

by FrankGrimm JavaScript Version: Current License: MIT

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

kandi X-RAY | omen Summary

omen is a JavaScript library typically used in Artificial Intelligence, Data Labeling, React applications. omen has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

A simple annotation task with three labels. Each label is configured to use a background color and display an icon. Annotators can either click the label buttons or press a hot-key (numbers 1-3 - for quick access to up to 9 labels):.

Support

Quality

Security

License

Reuse

Support

omen has a low active ecosystem.

It has 4 star(s) with 0 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

There are 7 open issues and 49 have been closed. On average issues are closed in 24 days. There are 5 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of omen is current.

Quality

omen has no bugs reported.

Security

omen has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

omen 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

omen releases are not available. You will need to build from source code and install.

Installation instructions, examples and code snippets are available.

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omen Key Features

No Key Features are available at this moment for omen.

omen Examples and Code Snippets

No Code Snippets are available at this moment for omen.

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 omen

To use OMEN on your own tasks, please make sure to install the following prerequisites:. The software is made available as a Docker container via GitHub packages. For regular deployments, the omen-prod package should be used. Note that pulling images, even public ones, from GitHub's infrastructure requires authentication. A personal authentication token with the read:packages permission is required. Please see the GitHub documentation on how to set this up (cat ~/TOKEN.txt | docker login https://docker.pkg.github.com -u USERNAME --password-stdin). Alternatively you can choose to pull the production image from dockerhub. To pull the image using the command line: docker pull docker.pkg.github.com/frankgrimm/omen/omen-prod:latest. Our standard deployment model uses Docker compose. An example docker-compose.yml configuration that sets up a database and OMEN instance can be found in the examples/ directory of the repository. Note that this example requires mapping the database files to a volume in order to be retained when the infrastructure is restarted.
Docker
Docker compose
PostgreSQL (if you do not want to use the Docker compose setup below and provide your own)
a) Adjust your configuration with the mandatory parameters (e.g. database connection and credentials)
b) Provide it to the container by mapping a volume and expose the web server (running on port TCP/5000 by default) so you can reach the web application
c) Create a first user via the command line and try to log in (by default at http://yourhost.domain.tld:5000). You will only have to do this once, additional users can be created in the application itself.
Check out our milestones and issues to see what is going on with the project. If you want to get started, go ahead and fork the project. We provide two ready-to-go docker-compose configurations. These should work for most setups and are also used to configure the CI (via GitHub actions) and package releases:.
docker-compose.dev.yml which runs the current OMEN branch using Flask debug (featuring auto-reloading) and configures a local database within the same compose-network. This should be the default configuration for development docker-compose --env-file /dev/null -f docker-compose.dev.yml up
docker-compose.prod.yml which runs a full gunicorn instance and is used to create the production release. This is otherwise mostly used directly when setting up test and staging environments. docker-compose --env-file /dev/null -f docker-compose.prod.yml up

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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