Pass the gradient image through a sigmoid */

aggregate response maps of children patches to form response maps of parent patches */

Transpose A (N rows by M cols) into B (M by N)

This function will propagate the clientdata field of type to * any new swig_type_info structures that have been added into the list * of equivalent ty

Install Constants */

Convert a pointer value, signal an exception on a type mismatch */

Create a variable linking object for use later */

Identical to SWIG_TypeCheck, except strcmp is replaced with a pointer comparison */

Dynamic pointer casting. Down an inheritance hierarchy */

Return the name associated with this type */

Added for Python 3.x, would it also be useful for Python 2.x? */

compute 8 directions of gradient per pixels using 4 oriented filters extremely simple like [-1,1] */

Max-pool in 2x2 px non-overlapping cells */

Subsample an array, equivalent to res = img[:,::2,::2] */

allocate a new color image and copy the content from src */

set all pixels values to zeros */

matches = deepmatching.deepmatching(image1, image2, options='') Compute the 'DeepMatching' between two images. Images must be HxWx3 numpy

Compute: arr = max(0,(arr-p)/(1-p)) */

allocate a new image and copy the content from src */

set all pixels values to zeros */

multiply an image by a scalar */

Post-processing of the HOG: cross-orientation inhibition. for one pixel i and orientation o: hog[i,o] = max(0, hog[i,o] - coef*hog[i,:].mean()) */

erase corres in the first array that are not in the second one */