LabelMarker | small tools for marking training set label | Machine Learning library

 by   qq547276542 HTML Version: Current License: No License

kandi X-RAY | LabelMarker Summary

kandi X-RAY | LabelMarker Summary

LabelMarker is a HTML library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Tensorflow applications. LabelMarker has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

A small tools for marking training set label in machine learning.
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            kandi-support Support

              LabelMarker has a low active ecosystem.
              It has 84 star(s) with 55 fork(s). There are 7 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 2 open issues and 0 have been closed. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of LabelMarker is current.

            kandi-Quality Quality

              LabelMarker has no bugs reported.

            kandi-Security Security

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

            kandi-License License

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

            kandi-Reuse Reuse

              LabelMarker releases are not available. You will need to build from source code and install.
              Installation instructions are available. Examples and code snippets are not available.

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            LabelMarker Key Features

            No Key Features are available at this moment for LabelMarker.

            LabelMarker Examples and Code Snippets

            No Code Snippets are available at this moment for LabelMarker.

            Community Discussions

            QUESTION

            GoogleMaps SDK for iOS - SWIFT 3: When hiding a marker and then adding the map view back, the cpu gets stuck at 100%
            Asked 2017-May-17 at 09:30
            Scenario
            • UIViewController sets self.view as GMSMapView in viewDidLload
            • A method will create markers and store them in self.markers and set marker.map to the self.view as! GMSMapView

            So far the app behaves well

            • Later, another method after some action (looking to toggle those markers) sets all self.markers.map to nil

            Up to here all goes well and the markers are gone from the map

            • Again, another method that wants those markers back, sets all self.markers.map = self.view as! GMSMapView

            Here the cpu gets stuck at 100% (on a simulator in an 8 core machine)

            If the self.markers.map gets reset to nil again, the cpu goes back to ~0% and all is good.

            Question

            Is this a limitation on cpu or GoogleMaps SDK? Is there a way to avoid the problem?

            Steps to reproduce

            After extracting the bits of code related, I added also similar conditions where a Label is being created as an icon for another marker.

            After some tests it seems it is related on the amount of markers to process only. See LabelCount and set to different values, in my cpu the problem appeared with 200 but not with 100 markers (ie: 400 markers as there is an extra marker for the label)

            Example code ...

            ANSWER

            Answered 2017-May-17 at 09:30

            This is clustering approach I am using

            Source https://stackoverflow.com/questions/43910085

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

            Vulnerabilities

            No vulnerabilities reported

            Install LabelMarker

            Git clone this repository in your system.
            Install python3 , django
            Enter the root path in ternimal, execute: sh django_server_start.sh
            Enter https://127.0.0.1:8000, enjoy it!

            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 .
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            CLONE
          • HTTPS

            https://github.com/qq547276542/LabelMarker.git

          • CLI

            gh repo clone qq547276542/LabelMarker

          • sshUrl

            git@github.com:qq547276542/LabelMarker.git

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