remo-python | Python lib for remo - the app for annotations and images | Data Labeling library

by rediscovery-io Python Version: 0.1.14 License: Non-SPDX

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

kandi X-RAY | remo-python Summary

remo-python is a Python library typically used in Artificial Intelligence, Data Labeling, Deep Learning applications. remo-python has no bugs, it has no vulnerabilities, it has build file available and it has low support. However remo-python has a Non-SPDX License. You can install using 'pip install remo-python' or download it from GitHub, PyPI.

You can see example of usage of the library in our documentiation or in the examples folder:.

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Quality

Security

License

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Support

remo-python has a low active ecosystem.

It has 179 star(s) with 24 fork(s). There are 7 watchers for this library.

It had no major release in the last 12 months.

There are 4 open issues and 3 have been closed. On average issues are closed in 11 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of remo-python is 0.1.14

Quality

remo-python has no bugs reported.

Security

remo-python has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

remo-python has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

remo-python releases are available to install and integrate.

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

Search images
Build a URL
Return authentication header
Add a list of annotations to the corpus
Adds data to this dataset
Create a temporary file from annotations
Prepare the data for upload
Export annotations to a file
Export an annotation set
Add annotations to the dataset
Export annotation set
Connect to the server
Get annotation statistics
Get image by name or id
Create an annotation set
Saves the image to a directory
Add an annotation to an image
Print information about the dataset
List all the images associated with the given dataset
Add an annotation to this image
View an image
Get the list of the annotations associated with this filter
Prepare class_encoding
Runs the prediction on the given model
Returns the list of classes for the given annotation set
View an annotation set

Get all kandi verified functions for this library.

remo-python Key Features

No Key Features are available at this moment for remo-python.

remo-python Examples and Code Snippets

No Code Snippets are available at this moment for remo-python.

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 remo-python

You can install Remo via Pip or via Docker.
This will install both the Python library and the remo app. To launch Remo, run python -m remo_app. To call Remo from python once you have a server running, use import remo.
In a Python 3.6+ environment: pip install remo
Initialise config: python -m remo_app init
Here are the main steps to install Remo via Docker. For more options and detailed instructions, you can refer to the Remo Docker installation page.
Download docker-compose.yml
Make sure you are using the latest tag available in Docker Hub
Run the following from the same directory where the file lives:
Access Remo by browsing to http://localhost:8123/

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 .

Find more information at: