makannotations | image annotation tool for creating mask annotations | Data Labeling library

by maka-autonomous-robotic-systems Python Version: Current License: GPL-3.0

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

kandi X-RAY | makannotations Summary

makannotations is a Python library typically used in Artificial Intelligence, Data Labeling, Deep Learning applications. makannotations has no bugs, it has no vulnerabilities, it has build file available, it has a Strong Copyleft License and it has low support. You can download it from GitHub.

Makannotations is an image annotation tool for creating mask annotations. It allows to draw masks of different shapes, assign (multi-level) labels to them, manipulate those masks, etc. It also provides a number of algorithms (CV and AI) for automatic mask detection. The app allows to open images either locally or from S3.

Support

Quality

Security

License

Reuse

Support

makannotations has a low active ecosystem.

It has 2 star(s) with 0 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

makannotations has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of makannotations is current.

Quality

makannotations has 0 bugs and 0 code smells.

Security

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

makannotations code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

makannotations 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

makannotations 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.

Top functions reviewed by kandi - BETA

kandi's functional review helps you automatically verify the functionalities of the libraries and avoid rework.
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of makannotations

Get all kandi verified functions for this library.

makannotations Key Features

No Key Features are available at this moment for makannotations.

makannotations Examples and Code Snippets

No Code Snippets are available at this moment for makannotations.

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 makannotations

Install required python packages:.
Install required python packages: pip install -r requirements.txt
Start the tool: ./makannotations
Configuration of the tool: Use .makannotations file to configure the state of the app. layers represent categories to annotate. They also support hierarchical structure. For example: "layers": { "dog": { "corgi": {}, "pitbull": {}, "pug": {} }, "cat": {} } colors represent list of colors for categories. help-links (optional) - list for url links with more information about categories (can be empty). s3_bucket_prefix (optional) - aws s3 directory prefix. filesystem_label_prefix (optional) - directory to store labels locally (when using s3_bucket_prefix).

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: