Showing 4 open source projects for "scale image"

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  • 1
    PS2 Cover

    PS2 Cover

    PS2 Covers Collection

    PS2 Covers is a large-scale curated repository of PlayStation 2 game cover images designed to be used with emulators such as PCSX2 and DuckStation, providing a complete visual library for enhancing game collections. It organizes cover art by game serial identifiers, allowing automated systems to fetch the correct image for each title. The repository includes both standard and 3D-style covers, supporting different presentation preferences.
    Downloads: 0 This Week
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  • 2
    Android Emulator Container Scripts

    Android Emulator Container Scripts

    Minimal scripts to run the emulator in a container for various systems

    ...A built-in WebRTC bridge lets you stream the emulator screen to a browser with interactive input, which is ideal for CI dashboards, remote debugging, or demo environments. The project focuses on reproducibility and scale: you define which system image to boot, how to persist or reset data, and how many instances to run, then schedule them like any other workload. GPU acceleration, audio, and sensors can be enabled depending on your host and cluster capabilities, while fallbacks like SwiftShader keep things usable when no GPU is available.
    Downloads: 2 This Week
    Last Update:
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  • 3
    PyMapStitcher-3---Cuda-Maps-Downloader

    PyMapStitcher-3---Cuda-Maps-Downloader

    A low ram maps downloader to keep your ram free.

    PyMapStitcher 3 is a desktop application for downloading, stitching, and exporting very large satellite map areas as GeoTIFF/BigTIFF files. The software supports GPU acceleration with NVIDIA CUDA and CuPy, direct GeoTIFF georeferencing, WebView-based map selection, and high-performance tile processing for large-scale mapping workflows.
    Downloads: 0 This Week
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  • 4
    CLIP-as-service

    CLIP-as-service

    Embed images and sentences into fixed-length vectors

    ...Serve CLIP models with TensorRT, ONNX runtime and PyTorch w/o JIT with 800QPS[*]. Non-blocking duplex streaming on requests and responses, designed for large data and long-running tasks. Horizontally scale up and down multiple CLIP models on single GPU, with automatic load balancing. Easy-to-use. No learning curve, minimalist design on client and server. Intuitive and consistent API for image and sentence embedding. Async client support. Easily switch between gRPC, HTTP, WebSocket protocols with TLS and compression. Smooth integration with neural search ecosystem including Jina and DocArray. ...
    Downloads: 1 This Week
    Last Update:
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