Python-Annotator-for-VideoS | simple video labeling tool developed in PyQt5 | Data Labeling library

 by   kevalvc Python Version: Current License: No License

kandi X-RAY | Python-Annotator-for-VideoS Summary

kandi X-RAY | Python-Annotator-for-VideoS Summary

Python-Annotator-for-VideoS is a Python library typically used in Artificial Intelligence, Data Labeling, OpenCV applications. Python-Annotator-for-VideoS has no bugs, it has no vulnerabilities and it has low support. However Python-Annotator-for-VideoS build file is not available. You can download it from GitHub.

PAVS - A simple video labeling tool developed in PyQt5 for managing the dataset of the ASDetect Project. Annotate videos in common formats(mp4, avi, mkv, wav, mp3). You can easily annotate video files per frame or in groups and label the video files either based on their category or create a custom label. In the example below we have annotated an mp4 file. You can see the video player and the data after annotating the particular frames. This data table can be exported and imported into a CSV File. Refer help.txt before proceeding with the usage of the application.
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            kandi-support Support

              Python-Annotator-for-VideoS has a low active ecosystem.
              It has 3 star(s) with 5 fork(s). There are 1 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              Python-Annotator-for-VideoS has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of Python-Annotator-for-VideoS is current.

            kandi-Quality Quality

              Python-Annotator-for-VideoS has 0 bugs and 0 code smells.

            kandi-Security Security

              Python-Annotator-for-VideoS has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              Python-Annotator-for-VideoS code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              Python-Annotator-for-VideoS does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
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              Without a license, all rights are reserved, and you cannot use the library in your applications.

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              Python-Annotator-for-VideoS releases are not available. You will need to build from source code and install.
              Python-Annotator-for-VideoS has no build file. You will be need to create the build yourself to build the component from source.
              Installation instructions, examples and code snippets are available.
              It has 307 lines of code, 32 functions and 1 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed Python-Annotator-for-VideoS and discovered the below as its top functions. This is intended to give you an instant insight into Python-Annotator-for-VideoS implemented functionality, and help decide if they suit your requirements.
            • Import CSV files
            • Insert the base row
            • Clears the table
            • Check if the table is clicked
            • Sets the media position
            • Initializes the window
            • Initialize UI components
            • Backslider
            • Move to the forward slider
            • Move back to the back slider
            • Move the forward slider
            Get all kandi verified functions for this library.

            Python-Annotator-for-VideoS Key Features

            No Key Features are available at this moment for Python-Annotator-for-VideoS.

            Python-Annotator-for-VideoS Examples and Code Snippets

            No Code Snippets are available at this moment for Python-Annotator-for-VideoS.

            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 Python-Annotator-for-VideoS

            Dependencies python-pyqt5 python-pyqt5.Qtmultimedia python-pyqt5.QtMultimediaWidgets python-pyqt5.QtCore python-pyqt5.QtGui os csv sys python-numpy

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