mirror of https://github.com/davisking/dlib.git
Fixed spelling error
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06bbfcb448
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b9146ad676
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@ -1057,7 +1057,7 @@ runs very quickly.";
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.def("get_xy_filter", [](image_gradients& g){ return numpy_image<float>(g.get_xy_filter()); }, filt_docs)
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.def("get_xy_filter", [](image_gradients& g){ return numpy_image<float>(g.get_xy_filter()); }, filt_docs)
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.def("get_yy_filter", [](image_gradients& g){ return numpy_image<float>(g.get_yy_filter()); }, filt_docs)
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.def("get_yy_filter", [](image_gradients& g){ return numpy_image<float>(g.get_yy_filter()); }, filt_docs)
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.def("get_scale", &image_gradients::get_scale,
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.def("get_scale", &image_gradients::get_scale,
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"When we estimate a gradient we do so by fitting a quadratic filter so a window of size \n\
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"When we estimate a gradient we do so by fitting a quadratic filter to a window of size \n\
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get_scale()*2+1 centered on each pixel. Therefore, the scale parameter controls the size \n\
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get_scale()*2+1 centered on each pixel. Therefore, the scale parameter controls the size \n\
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of gradients we will find. For example, a very large scale will cause the gradient_xx() \n\
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of gradients we will find. For example, a very large scale will cause the gradient_xx() \n\
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to be insensitive to high frequency noise in the image while smaller scales would be more \n\
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to be insensitive to high frequency noise in the image while smaller scales would be more \n\
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