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Source channel @githubtrending · Post #15044 · Aug 9

#javascript#capture_screenshots#clone#dom#js#screenshot snapDOM is a very fast and accurate tool that captures any part of a webpage (HTML elements) as images, including styles, fonts, shadows, and even hidden parts like shadow DOM. It can save these captures in many formats like SVG, PNG, JPG, WebP, or canvas, and works without extra dependencies using standard web APIs. You can easily customize the image size, quality, and even exclude parts you don’t want. It handles complex web features and is much faster than similar tools, making it great for quickly creating high-quality snapshots of web content for use in apps or presentations. This saves you time and effort in capturing styled webpage visuals. https://github.com/zumerlab/snapdom

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djangoproject

@djangoproject · Post #274 · 03/18/2017, 01:48 AM

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https://github.com/riga/tfdeploy Google's TensorFlow framework is taking off big-time now that it's at a full 1.0 release. One common question about it: How can I make use of the models I train in TensorFlow without using TensorFlow itself? #Tfdeploy is a partial answer to that question. It exports a trained TensorFlow model to "a simple #NumPy-based callable," meaning the model can be used in Python with Tfdeploy and the the NumPy math-and-stats library as the only dependencies. Most of the operations you can perform in TensorFlow can also be performed in Tfdeploy, and you can extend the behaviors of the library by way of standard Python metaphors (such as overloading a class). Now the bad news: Tfdeploy doesn't support GPU acceleration, if only because NumPy doesn't do that. Tfdeploy's creator suggests using the gNumPy project as a possible replacement. #Machine_learning

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