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8 results for “arghyadeep”

  1. @mhamzahkhan I often end up using in . I'm at my parents' for the lockdown and have my work laptop only with me at the moment. And, our work laptops block installation of every single thing. Which is why when I need to work on minor stuff like updating the dependencies of a package I maintain, GitPod is my go to.

    For major devlopements, I use running on a server.

  2. @edgren @[email protected] Yes, that would work for my use-case but I gotta maintain a server for that.

    If I don't find anything on the lines of , I'd resort to or .

  3. Weekends to is time for hobby projects.
    Worked half of my Sunday and fixed the issues.

    v0.0.5 is published finally.

    Changelogs:

    - Fixed a major issue with exceptions.
    - Better error handling with appropriate messages.
    - New parameter factor introduced which helps in modifying the cropped area of face.
    - More unit test cases added.
    - Code Coverage enhanced to 99%.

  4. Just released v0.0.4!

    Changelogs:

    - Function API has been modified to reduce complexity.
    - Fixes in loading pre-trained classifier files.
    - Added .npmignore file.
    - Reduced package size to less than a MB.
    - Added unit test cases for the new developments.
    - Moved to Codecov from Sonarqube.
    - Achieved 95% code coverage.
    - README updates with images added.

  5. Released v0.0.3!

    Changelogs:

    - Added support for multi-face detection.
    - Redirecting to opencv4js npm package to obtain the updated opencv.js file easily.
    - Integrated Sonarqube for code scanning and detect bugs/issues/smells in code.
    - Integrated Jest for unit testing.
    - Code coverage- 94.4%.
    - README updates to provide more clarity.

    v1.0.0 will be arriving by next week.

  6. v0.0.2 is out now!

    Changelogs:
    - Minor code tweaks.
    - Github Actions workflow added to automate publishing to npm registry.
    - Documentation updated with relevant details on how to use the package.

  7. Was helping out a friend with some code, ended up creating a package.

    It uses to detect faces from an image and crops the faces out.

    One of the use cases of this package can be creating thumbnails/previews showing just the faces from the original picture.

    P.S. - The pre-release version is out now. More enhancements coming soon.

    npmjs.com/package/opencv-facec


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