Showing 3 open source projects for "image optimizer"

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    YOLOV3 Pytorch

    YOLOV3 Pytorch

    This is a source code for yolo3-pytorch

    ...The repository provides a complete workflow for users who want to train their own object detector with VOC-style data or use pretrained weights. It includes utilities for annotation conversion, anchor generation, image prediction, video prediction, batch prediction, FPS measurement, heatmap output, and mAP evaluation. The project added multi-GPU training, target count statistics, learning rate scheduling with step and cosine options, and optimizer selection between Adam and SGD. It also includes adaptive learning rate adjustment based on batch size, image cropping, many configurable parameters, and expanded comments for easier study. ...
    Downloads: 0 This Week
    Last Update:
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  • 2
    YOLOV4 Pytorch

    YOLOV4 Pytorch

    This is a source code for YoloV4-pytorch that can be used to train you

    ...The project added multi-GPU training, seed settings for reproducible results, adaptive learning rate behavior based on batch size, and both step and cosine learning rate schedules. It also supports Adam and SGD optimizer choices, image cropping, adjustable parameters, and extensive code comments. It is a useful educational and applied repository for users who want to understand or customize YOLOv4 in PyTorch.
    Downloads: 1 This Week
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  • 3
    Faster-Rcnn

    Faster-Rcnn

    This is a pytorch implementation library of faster-rcnn

    ...It supports backbone options through pretrained VGG and ResNet weights, making it useful for comparing feature extractors. The project also includes learning rate scheduling through step and cosine methods, optimizer choices between Adam and SGD, adaptive learning rate behavior based on batch size, image cropping, FPS testing, video prediction, and batch prediction. It is a practical reference for users who want a more classical two-stage detector workflow in PyTorch.
    Downloads: 2 This Week
    Last Update:
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