Algorithms

The available algorithms are listed below.

vpi.BackgroundSubtractor(size, format[, backend])	Creates the main object of the BgSub algorithm.
vpi.Image.bilateral_filter(self, ksize, ...)	Runs a 2D bilateral filter over the image.
vpi.Image.box_filter(self, ksize, *[, ...])	Runs a 2D box filter over the image.
vpi.Image.convert(-> vpi.Image)	Converts the image to the desired format.
vpi.Image.convolution(-> vpi.Image)	Runs a generic 2D convolution over the image.
vpi.Image.eqhist(self, *[, backend, out, stream])	Equalize the histogram of the image.
vpi.Image.fft(self, *[, backend, out, stream])	Runs the direct FFT on the image.
vpi.Image.ifft([denorm, out, backend, stream])	Runs the inverse FFT on the image.
vpi.Image.irfft(self[, size, denorm, ...])	Runs the inverse (Real) FFT on the image.
vpi.Image.gaussian_filter(self, ksize, sigma, *)	Runs a 2D Gaussian filter over the image.
vpi.Image.gaussian_pyramid(-> vpi.Image)	Computes the Gaussian pyramid of the image.
vpi.Image.harriscorners(self, *[, backend, ...])	Runs Harris Corner Detector on the image.
vpi.Image.histogram(self[, bins, backend, ...])	Computes the image histogram.
vpi.Image.image_flip(self, flip_mode, *[, ...])	Flips the image.
vpi.KLTFeatureTracker(-> vpi.KLTFeatureTracker)	Creates the basis for the KLT algorithm.
vpi.Image.laplacian_pyramid(...)	Computes the Laplacian pyramid of the image.
vpi.Image.minloc(self, *[, backend, ...])	Find minimum value locations in an image.
vpi.Image.maxloc(self, *[, backend, ...])	Find maximum value locations in an image.
vpi.Image.minmaxloc(self, *[, backend, ...])	Find min(max)imum value locations in an image.
vpi.Image.erode(self, kernel, *[, backend, ...])	Runs a 2D erode over the image.
vpi.Image.dilate(self, kernel, *[, backend, ...])	Runs a 2D dilate over the image.
vpi.optflow_dense(ref, frame, *[, backend, ...])	Runs dense Optical Flow on two frames.
vpi.OpticalFlowPyrLK(-> vpi.OpticalFlowPyrLK)	Creates the basis for the PyrLKOFlow algorithm.
vpi.Image.perspwarp(-> vpi.Image)	Applies a perspective warp on the image.
vpi.Image.remap(self, wmap[, size, backend, ...])	Remap the image.
vpi.Image.rescale(-> vpi.Image  -> vpi.Image)	Rescales the image.
vpi.stereodisp(left, right, *[, backend, ...])	Runs stereo processing on two images.
vpi.TemporalNoiseReduction(size, format[, ...])	Creates the main object of the TNR algorithm.
vpi.execute(host_function, *[, stream])	Executes a function on the stream.
vpi.WarpMap(-> vpi.WarpMap  -> vpi.WarpMap)	Creates warpmap for Lens Distortion Correction.