Showing 4 open source projects for "quality"

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  • 1
    Image Fusion

    Image Fusion

    Deep Learning-based Image Fusion: A Survey

    This repository is a survey / code collection centered on deep learning–based image fusion (e.g. fusing infrared + visible light images, multi-modal fusion) methods. It catalogs many fusion algorithms (e.g. DenseFuse, FusionGAN, NestFuse, etc.), links to code implementations, and describes evaluation metrics. The repository includes a “General Evaluation Metric” subfolder containing objective fusion metrics. It is not a single monolithic tool, but rather a curated reference and aggregation...
    Downloads: 1 This Week
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  • 2
    SmartWeld

    SmartWeld

    Weld Optimization for Automatic Welding

    Science based weld software to develop optimal automatic weld procedures. SmartWeld is a PC based tool for designers, engineers, and technicians to aid in selecting, optimizing, and configuring automated welding processes.
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    Downloads: 6 This Week
    Last Update:
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  • 3
    Exposure Correction

    Exposure Correction

    Learning multi-scale deep model correcting over- and under- exposed

    ...The repository includes pre-trained models, datasets, and training/testing code to enable reproducibility and experimentation. By leveraging this framework, researchers and developers can apply exposure correction to a wide range of natural images, improving visual quality without manual editing. The project serves both as a research reference and a practical tool for computational photography and image enhancement.
    Downloads: 2 This Week
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  • 4
    Spheroid_segmentation

    Spheroid_segmentation

    Deep learning networks for spheroid segmentation

    ...The code provides the trained networks based on Vgg16, Vgg19, ResNet18, and ResNet50 ready to be used for segmentation purposes. It also provides Matlab functions ready to be used to train new networks, segment new images, and measure the quality of the training using different quantitative parameters.
    Downloads: 0 This Week
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