AFL.automation.instrument.OpticalTurbidity

Functions

canny(image[, sigma, low_threshold, ...])	Edge filter an image using the Canny algorithm.
circle_perimeter(r, c, radius[, method, shape])	Generate circle perimeter coordinates.
hough_circle(image, radius[, normalize, ...])	Perform a circular Hough transform.
hough_circle_peaks(hspaces, radii[, ...])	Return peaks in a circle Hough transform.
hough_ellipse(image[, threshold, accuracy, ...])	Perform an elliptical Hough transform.
img_as_ubyte(image[, force_copy])	Convert an image to 8-bit unsigned integer format.
rgb2gray(rgb, *[, channel_axis])	Compute luminance of an RGB image.

Classes

Driver(name[, defaults, overrides, useful_links])
OpticalTurbidity(camera[, overrides])

class AFL.automation.instrument.OpticalTurbidity.OpticalTurbidity(camera, overrides=None)

defaults = {'camera_id': 5, 'col_crop': [0, 479], 'hough_radii': 98, 'row_crop': [0, 479], 'save_path': '/home/afl642/2305_SINQ_TurbidityImages/'}

__init__(camera, overrides=None)

Initalize OPticalTurbidity calculator driver

measure(set_empty=False, plotting=False, **kwargs)

This is an optical turbidity measurement observing the sans cell

empty_fn: (str) is the path to the empty SANS cell image

filled_fn: (str) is the path to the filled SANS cell image