owl.calibration

owl.calibration.calculate_led_for_desired_pixel(response_matrix, pixels)[source]

Gives led values that will produce the given pixel ratio.

Parameters:

  • response_matrix (numpy array) – Array of float that model the responses of the sensors. The array is shape (image_y, image_x, 4, 4).

  • pixels (tuple) – Ratio of the desired pixel values. It must be length 3.

Returns:

led_values – The values of led values to produce near the desired pixel values on white paper.

Return type:

tuple

owl.calibration.create_pixel_corrections(coefficient_polynomial_coefficients, offset_polynomial_coefficients, *, image_shape, tqdm=<function tqdm>)[source]

Create a coefficient and offset pixel correction based on the polynomial coefficients.

Parameters:

  • coefficient_polynomial_coefficients (numpy array) – An MxNx4x4 array of polynomial coefficients describing the pixel coefficient corrections.

  • offset_polynomial_coefficients (numpy array) – An MxNx4x4 array of polynomial coefficients describing the pixel offset corrections.

  • image_shape (tuple) – The desired shape of the images in pixel (y_pixels, x_pixels).

  • tqdm (optional) – Progress-bar callable used to wrap the per-camera loop.

Returns:

  • coefficient_corrections (numpy array) – Array of pixel correction coefficients of shape M x N x image_shape.

  • offset_corrections (numpy array) – Array of pixel correction offsets of shape M x N x image_shape.