Showing 2 open source projects for "python mini project"

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  • Omnilert | Visual Passive Security Systems Icon
    Omnilert | Visual Passive Security Systems

    Detect Guns and Automate Response to Help Protect Lives

    Transform your passive security systems into early warning and active prevention systems with Omnilert's visual artificial intelligence. Omnilert Gun Detect not only helps save lives but also reduces the operational, legal, and social impacts of gun violence.
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  • Scalable restaurant tech for stellar guest experiences Icon
    Scalable restaurant tech for stellar guest experiences

    For Pizza, Delivery, Takeout, Quick Serve, Fast casual, and Full Service Restaurants with as little as one store to 100 or more.

    HungerRush helps restaurants compete in the toughest business on earth. We offer a fully integrated restaurant management system that’s easy to use and can be configured to engage your guests better, streamline your operations, master your own marketing, or all of the above. Want to offer online ordering? It’s built in. Want to get the latest performance data on your operations and marketing? No problem. Want to make customers for life by creating personalized experiences you know they’ll love? Order up. And since our system is backed by a dedicated and US-based support team, you’ll always be ready for the rush.
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  • 1
    Dream Textures

    Dream Textures

    Stable Diffusion built-in to Blender

    Create textures, concept art, background assets, and more with a simple text prompt. Use the 'Seamless' option to create textures that tile perfectly with no visible seam. Texture entire scenes with 'Project Dream Texture' and depth to image. Re-style animations with the Cycles render pass. Run the models on your machine to iterate without slowdowns from a service. Create textures, concept art, and more with text prompts. Learn how to use the various configuration options to get exactly what...
    Downloads: 14 This Week
    Last Update:
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  • 2
    Image Super-Resolution (ISR)

    Image Super-Resolution (ISR)

    Super-scale your images and run experiments with Residual Dense

    The goal of this project is to upscale and improve the quality of low-resolution images. This project contains Keras implementations of different Residual Dense Networks for Single Image Super-Resolution (ISR) as well as scripts to train these networks using content and adversarial loss components. Docker scripts and Google Colab notebooks are available to carry training and prediction.
    Downloads: 1 This Week
    Last Update:
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