Description: Code for CVPR15 paper Learning to Compare Image Patches via Convolutional Neural Networks
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This package allows researches to apply the described networks to match image patches and extract corresponding patches.
We tried to make the code as easy to use as possible. The original models were trained with Torch ( http://torch.ch ) and we release them in Torch7 and binary formats with C++ bindings which do not require Torch installation. Thus we provide example code how to use the models in Torch, MATLAB and with OpenCV http://opencv.org
-Code for CVPR15 paper Learning to Compare Image Patches via Convolutional Neural Networks
-
This package allows researches to apply the described networks to match image patches and extract corresponding patches.
We tried to make the code as easy to use as possible. The original models were trained with Torch ( http://torch.ch ) and we release them in Torch7 and binary formats with C++ bindings which do not require Torch installation. Thus we provide example code how to use the models in Torch, MATLAB and with OpenCV http://opencv.org
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Author:黄飞 |
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