opencv (version 0.5.1)

ocv_face: OpenCV Computer Vision

Description

Tools to experiment with computer vision algorithms. Use ocv_read and ocv_write to load/save images on disk, or use ocv_picture / ocv_video to use your webcam. In RSudio IDE the image objects will automatically be displayed in the viewer pane.

Usage

ocv_face(image)
ocv_facemask(image)
ocv_read(path)
ocv_write(image, path)
ocv_destroy(image)
ocv_bitmap(image)
ocv_edges(image)
ocv_picture()
ocv_resize(image, width = 0, height = 0)
ocv_mog2(image)
ocv_knn(image)
ocv_hog(image)
ocv_blur(image, ksize = 5)
ocv_sketch(image, color = TRUE)
ocv_stylize(image)
ocv_markers(image)
ocv_info(image)
ocv_copyto(image, target, mask)
ocv_display(image)
ocv_video(filter, stop_on_result = FALSE)
ocv_grayscale(image)
ocv_version()

Arguments

image

an ocv image object created from e.g. ocv_read()

path

image file such as png or jpeg

width

output width in pixels

height

output height in pixels

ksize

size of blurring matrix

color

true or false

target

the output image

mask

only copy pixels from the mask

filter

an R function that takes and returns an opecv image

stop_on_result

stop if an object is detected

Examples

# Silly example
mona <- ocv_read('https://jeroen.github.io/images/monalisa.jpg')

# Edge detection
ocv_edges(mona)
ocv_markers(mona)

# Find face
faces <- ocv_face(mona)

# To show locations of faces
facemask <- ocv_facemask(mona)
attr(facemask, 'faces')

# This is not strictly needed
ocv_destroy(mona)