handwriting-recognition | active essay revisiting Gabriel Groner 's GRAIL handwriting

 by   jackschaedler JavaScript Version: Current License: MIT

kandi X-RAY | handwriting-recognition Summary

kandi X-RAY | handwriting-recognition Summary

handwriting-recognition is a JavaScript library. handwriting-recognition has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

An active essay revisiting Gabriel Groner's GRAIL handwriting recognizer from the 1960s:
Support
    Quality
      Security
        License
          Reuse

            kandi-support Support

              handwriting-recognition has a low active ecosystem.
              It has 117 star(s) with 9 fork(s). There are 7 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 7 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 handwriting-recognition is current.

            kandi-Quality Quality

              handwriting-recognition has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              handwriting-recognition 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

              handwriting-recognition releases are not available. You will need to build from source code and install.
              handwriting-recognition saves you 768 person hours of effort in developing the same functionality from scratch.
              It has 1768 lines of code, 0 functions and 37 files.
              It has low code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed handwriting-recognition and discovered the below as its top functions. This is intended to give you an instant insight into handwriting-recognition implemented functionality, and help decide if they suit your requirements.
            • Helper function for D3 locale .
            • draw stroke area
            • clip - interceptor
            • Updates the brush event .
            • clip area clip .
            • Creates a clip - clip clip method for clippingPoints .
            • Returns a locale - number formatting function .
            • Resample stream .
            • Calculates a 2 - ordinal coordinate system .
            • XHR request .
            Get all kandi verified functions for this library.

            handwriting-recognition Key Features

            No Key Features are available at this moment for handwriting-recognition.

            handwriting-recognition Examples and Code Snippets

            No Code Snippets are available at this moment for handwriting-recognition.

            Community Discussions

            QUESTION

            Google Chrome version 91 causing legacy JSP with Struts to lose data and formatting
            Asked 2021-Jun-11 at 18:03

            UPDATE IN ANSWER BELOW

            Is anyone else experiencing the newest couple versions of chrome causing issues with legacy Java applications? Just yesterday I needed to get the company's policy manager to allow downloading files from an internal unsecured server by adding our URLs to a whitelist - you can see the details of the process on the chromium blog here. That issue was present in v90 as well.

            What I'm currently experiencing due to the v91 update is as follows: My boss was trying to use a page in one of our Java 6 legacy applications and he noticed that the page wouldn't return the data in any format - we checked and he was already v91. I was on v90 and the page worked fine. After updating Chrome to v91, I'm getting the same broken page as my boss.

            I was thinking it might be something related to the CSS but I don't have time to poke at it and redeploy the legacy app every time to test the changes. Though, I have taken a peek at this chromium blog post for version 91. Though I don't see much relating to what may have caused the removal of all non-label fields and the formatting of the label fields are all wonky and out of place.

            I'm going to look into investigating the struts tile that holds the code JSP code; if I find something I'll post it here for reference.

            The first image below is what one row should look like with the header above it. As you see in the second picture, all there is the header with improper formatting and the grid is gone.

            ...

            ANSWER

            Answered 2021-Jun-10 at 21:45

            I have determined the problem to be the

            here tag. In the newest version (v91) of Chrome, the table rendering engine has been rewritten. the notes are here and if you want the in-depth documentation, is the link to the Google Doc that the developers wrote. Basically, the old way of rendering tables has become obsolete and the

            Workaround: Disable the chrome flag named Enable TableNG and restart your browser.

            Addition: I found chromestatus, a website that shows new features being added, deprecations, etc.

            tag is now defunct.

            Source https://stackoverflow.com/questions/67829181

            QUESTION

            PyQt5 - Show virtual keyboard
            Asked 2020-Sep-23 at 05:37

            I'm trying to figure out how to use a virtual keyboard for a touchscreen, using python 3.8 and PyQt5 on Windows.

            I saw that Qt had his own plugin QtVirtualKeyboard. I pretty much followed what has been done in this link, first installing Qt 5.15 with the Virtual Keyboard support, and then setting up the environment variables.

            A simple code example would be this :

            ...

            ANSWER

            Answered 2020-Sep-03 at 08:33

            First, be the binaries associated with Qt VirtualKeyboard, and to not install Qt I have used aqtinstall(In this example Qt 5.15 was installed but it is recommended to use the same version that was used to compile pyqt5: python -c "from PyQt5.QtCore import QT_VERSION_STR; print('Qt version', QT_VERSION_STR)"):

            Source https://stackoverflow.com/questions/62473386

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

            Vulnerabilities

            No vulnerabilities reported

            Install handwriting-recognition

            You can download it from GitHub.

            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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            https://github.com/jackschaedler/handwriting-recognition.git

          • CLI

            gh repo clone jackschaedler/handwriting-recognition

          • sshUrl

            git@github.com:jackschaedler/handwriting-recognition.git

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