Showing 2 open source projects for "minimum cost"

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  • 1
    Caire

    Caire

    Content aware image resize library

    ...Using a dynamic programming approach the algorithm will generate individual seams across the image from top to down, or from left to right (depending on the horizontal or vertical resizing) and will allocate for each seam a custom value, the least important pixels having the lowest energy cost and the most important ones having the highest cost. We traverse the image from the second row to the last row and compute the cumulative minimum energy for all possible connected seams for each entry. The minimum energy level is calculated by summing up the current pixel value with the lowest value of the neighboring pixels obtained from the previous row.
    Downloads: 1 This Week
    Last Update:
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  • 2
    OnnxStream

    OnnxStream

    Lightweight inference library for ONNX files, written in C++

    The challenge is to run Stable Diffusion 1.5, which includes a large transformer model with almost 1 billion parameters, on a Raspberry Pi Zero 2, which is a microcomputer with 512MB of RAM, without adding more swap space and without offloading intermediate results on disk. The recommended minimum RAM/VRAM for Stable Diffusion 1.5 is typically 8GB. Generally, major machine learning frameworks and libraries are focused on minimizing inference latency and/or maximizing throughput, all of which at the cost of RAM usage. So I decided to write a super small and hackable inference library specifically focused on minimizing memory consumption: OnnxStream. ...
    Downloads: 4 This Week
    Last Update:
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