Namespace List

Here is a list of all documented namespaces with brief descriptions:

[detail level 12]

Navg_filter	Average filter namespace
Ndetail	Detail namespace with internal helper functions
Ndtoa_impl	Implements the Grisu2 algorithm for binary to decimal floating-point conversion
Ngaussian_filter	Gaussian filter namespace
Nmedian_filter	Median_filter namespace
Nmetrics	Losses namespace that contains a couple of useful losses in machine learning
Nprewitt	Prewitt operator is used for edge detection. It creates 2 3x3 arrays G_x and G_y and apply them to an image A(G_x * A, G_y * A). After that, the resulting image with edge detection is G = sqrt(G_x^2 + G_y^2). It's almost the same as the sobel operator, but with a different mask
Nsharpening_filter	Sharpening_filter namespace
Nsobel	Sobel operator is used for edge detection. It creates 2 3x3 arrays G_x and G_y and apply them to an image A(G_x * A, G_y * A). After that, the resulting image with edge detection is G = sqrt(G_x^2 + G_y^2)