trackpy.artificial

Functions

draw_array(N, size[, separation, ndim])	Generates an image with an array of features.
draw_cluster(image, position, size, cluster_size)	Draws a cluster of size n at pos with angle angle.
draw_feature(image, position, size[, ...])	Draws a radial symmetric feature and adds it to the image at given position.
draw_features_brightfield(shape, positions, ...)	Generates an image with features at given positions.
draw_point(image, pos, value)
draw_spots(shape, positions, size[, ...])	Generates an image with features at given positions.
feat_brightfield(r, ndim, radius, ...)	Brightfield particle with intensity dip in center at r = 0.
feat_disc(r, ndim, disc_size)	Solid disc of size disc_size, with Gaussian smoothed borders.
feat_gauss(r, ndim)	Gaussian at r = 0.
feat_hat(r, ndim, disc_size)	Solid disc of size disc_size, with Gaussian smoothed borders.
feat_ring(r, ndim, thickness)	Ring feature with a gaussian profile with a certain thickness.
feat_step(r, ndim)	Solid disc.
gen_connected_locations(shape, count, separation)	Generates count number of positions within shape that are touching.
gen_nonoverlapping_locations(shape, count, ...)	Generates count number of positions within shape, that have minimum distance separation from each other.
gen_random_locations(shape, count[, margin])	Generates count number of positions within shape.
rot_2d(angle)
rot_3d(angles)

Classes

SimulatedImage(shape, size[, dtype, ...])

This class makes it easy to generate artificial pictures.