Pyrenote | Audio Labeling System for Acoustics Specifies | Data Labeling library

 by   UCSD-E4E JavaScript Version: v1.2.1 License: MIT

kandi X-RAY | Pyrenote Summary

kandi X-RAY | Pyrenote Summary

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

This project, Pyrenote, creates moment to moment or strong labels for audio data. Pyrenote and much of this README are based on heavily on Audino as well as Wavesufer.js. The name is a combination of Py, Lyrebird, and note (such as making a note on a label).
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              Pyrenote has a low active ecosystem.
              It has 9 star(s) with 1 fork(s). There are 8 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 23 open issues and 99 have been closed. On average issues are closed in 38 days. There are 5 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of Pyrenote is v1.2.1

            kandi-Quality Quality

              Pyrenote has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              Pyrenote is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              Pyrenote releases are available to install and integrate.
              Installation instructions, examples and code snippets are available.

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            Pyrenote Key Features

            No Key Features are available at this moment for Pyrenote.

            Pyrenote Examples and Code Snippets

            No Code Snippets are available at this moment for Pyrenote.

            Community Discussions

            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

            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 Pyrenote

            At this point, the docker should have gotten everything set up. After going to http://localhost:3000/ you should be able to log into the docker. To access the site, sign in with the username of admin and password of password. On logging in navigate to the admin-portal to create your frist project (make sure to make a label group and some labels for the project!).

            Support

            Docker containers do not even get a chance to startMake sure docker is set up properlyMake sure docker itself has started. On windows check the system tray and hover over the icon to see the current status. Restart it if nessaryBackend crashesFor this error, check the top of the log. It should be complaining about /r charaters in the run-dev.sh filesThe backend will crash if the endline charaters are not set to LF rather than CRLFOn VSCode, you can swap this locally via going into the file and chaning the CRLF icon in the bottom right to LFDo this for frontend/scripts/run-dev.sh and backend/scripts/run-dev.shDatabase migration issuesIf the backend complains about compiler issues while the database migration is occuring go into backend/scripts/run-dev.shCheck to make sure in line 25, the stamp command is pointing to the right migration for the database, Ask for help on this one
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