PyQt-image-annotation-tool | Tool for assigning labels to images from a given folder | Data Labeling library

 by   robertbrada Python Version: Current License: No License

kandi X-RAY | PyQt-image-annotation-tool Summary

kandi X-RAY | PyQt-image-annotation-tool Summary

PyQt-image-annotation-tool is a Python library typically used in Artificial Intelligence, Data Labeling applications. PyQt-image-annotation-tool has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

This app is used to label images in a given directory. Labeled images can be moved or copied into sub-directories, which are named as assigned labels. The app is just a single Python script with GUI.

            kandi-support Support

              PyQt-image-annotation-tool has a low active ecosystem.
              It has 84 star(s) with 32 fork(s). There are 4 watchers for this library.
              It had no major release in the last 6 months.
              There are 6 open issues and 1 have been closed. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of PyQt-image-annotation-tool is current.

            kandi-Quality Quality

              PyQt-image-annotation-tool has 0 bugs and 10 code smells.

            kandi-Security Security

              PyQt-image-annotation-tool has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              PyQt-image-annotation-tool code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

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

            kandi-Reuse Reuse

              PyQt-image-annotation-tool 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.
              It has 386 lines of code, 25 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 PyQt-image-annotation-tool and discovered the below as its top functions. This is intended to give you an instant insight into PyQt-image-annotation-tool implemented functionality, and help decide if they suit your requirements.
            • Set label
            • Show the next image
            • Set the image
            • Set the color of the button
            • Show the previous image
            • Prompts the given text files
            • Generate label inputs for each step
            • Continue the application
            • Check validity
            • Close the app
            • Generate csv file
            • Convert labels to zero one
            • Convert csv to xlsx file
            • Make directory if necessary
            • Create the folder of the given labels
            Get all kandi verified functions for this library.

            PyQt-image-annotation-tool Key Features

            No Key Features are available at this moment for PyQt-image-annotation-tool.

            PyQt-image-annotation-tool Examples and Code Snippets

            No Code Snippets are available at this moment for PyQt-image-annotation-tool.

            Community Discussions


            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?



            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:



            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:



            Answered 2020-Nov-16 at 07:24


            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.



            Answered 2020-Oct-27 at 22:39

            Is the data behind virtual network by any chance?


            Community Discussions, Code Snippets contain sources that include Stack Exchange Network


            No vulnerabilities reported

            Install PyQt-image-annotation-tool

            Enter the directory and install the dependencies (you might need to use pip3 instead of pip):. Run the app (use python3 for Python 3).
            Clone the project: git clone
            Enter the directory and install the dependencies (you might need to use pip3 instead of pip): cd PyQt-image-annotation-tool pip install -r requirements.txt
            Run the app (use python3 for Python 3) python


            Pull requests are welcomed.
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