stimupy.utils

Modules

stimupy.utils.color_conversions
stimupy.utils.contrast_conversions
stimupy.utils.export
stimupy.utils.filters
stimupy.utils.masks
stimupy.utils.pad
stimupy.utils.plotting
stimupy.utils.resolution
stimupy.utils.utils

Functions

adapt_intensity_range	Adapt intensity range of image
adapt_intensity_range_dict	Adapt intensity range of image
adapt_michelson_contrast	Adapt Michelson contrast of image
adapt_michelson_contrast_dict	Adapt Michelson contrast of image in dict
adapt_normalized_rms_contrast	Adapt normalized rms contrast of image (std divided by mean)
adapt_normalized_rms_contrast_dict	Adapt normalized rms contrast of image (std divided by mean)
adapt_rms_contrast	Adapt rms contrast of image (std)
adapt_rms_contrast_dict	Adapt rms contrast of image (std)
add_padding	Remove padding by c
all_img_values	Isolate all image values/pixels, per target region specified in integer mask
apply_bessel	Bessel function of the first kind of real order and complex argument.
array_to_checksum	Hash (md5) array values, and return hex-checksum
array_to_image	Save a 2D numpy array as a grayscale image file.
array_to_mat	Save a numpy array to a mat-file.
array_to_npy	Save a numpy array to npy-file.
array_to_pickle	Save a numpy array to a pickle-file.
arrays_to_checksum	Hash (md5) values of arrays specified in keys, and save only the hex
avg_img_values	Average values of pixels in image, per target region in integer mask
avg_target_values	Average pixel value in each target region of stimulus
bandpass	Function to create a 2d bandpass filter in the frequency domain
compute_ppd	Compute the pixels per degree in a presentation setup i.e., the number of pixels in the central one degree of visual angle
convolve	Convolve two N-dimensional arrays using FFT
create_stimspace_stimuli
flip_dict	Return a dict with key-arrays rotated by nrots*90 degrees.
get_function_argument_names	Get all argument names for a given function
img_values	Isolate only image pixels specified by a binary mask
int_factorize	All integer factors of integer n
length_from_visual_angle_ppd	Calculate length (pixels) from visual angle (degrees) and pixels-per-degree
lengths_from_visual_angles_ppd	Calculate lengths (pixels) from visual angles (degrees) and pixels-per-degree
luminance2munsell	Transform luminance values into Munsell values.
make_two_sided	Create two-sided version of a stimulus function
munsell2luminance	Transform Munsell values to luminance values.
pad_by_shape	Pad image by specified amount(s) of pixels
pad_by_visual_size	Pad image by specified degrees of visual angle
pad_dict_by_shape	Pad images in dictionary by specified amount(s) of pixels Can specify different amount (before, after) each axis.
pad_dict_by_visual_size	Pad images in dictionary by specified degrees of visual angle
pad_dict_to_shape	Pad images in dictionary to a resulting specified shape in pixels
pad_dict_to_visual_size	Pad images in dictionary to specified visual size in degrees visual angle
pad_to_shape	Pad image to a resulting specified shape in pixels
pad_to_visual_size	Pad image to specified visual size in degrees visual angle
permutate_params
plot_comparison	Plots visual comparison of two image-arrays
plot_stim	Plot a stimulus
plot_stimuli	Plot multiple stimuli
ppd_from_length_visual_angle	Calculate pixels-per-degree from length (pixels) and visual angle (degrees)
ppd_from_shape_visual_size	Calculate resolution (ppd) from given shape (pixels) and visual size (degrees)
remove_padding	Remove padding by c
resize_array	Return a copy of an array, resized by the given factor.
resize_dict	Return a copy of an array, resized by the given factor.
resolve	Resolves the full resolution, for 2 givens and 1 unknown
resolve_1D	Resolves the full resolution, for 2 givens and 1 unknown
resolve_dict	Resolves the full resolution ("shape", "ppd", "visual_size"), for 2 givens and 1 unknown in the input dictionary
roll_dict	Return a dict with key-arrays rolled by shift in axes.
rotate_dict	Return a dict with key-arrays rotated by nrots*90 degrees.
round_to_vals	Round array to provided values (vals)
shape_from_visual_size_ppd	Calculate shape (pixels) from given visual size (degrees) and pixels-per-degree
stack_dicts	Return a dict with resized key-arrays by the given factor.
strip_dict	Create a dictionary by stripping it from all keys that are not also an argument to the provided function
to_json	Save stimulus-dict(s) as (pretty) JSON
to_mat	Save stimulus-dict(s) as mat-file
to_pickle	Save stimulus-dict(s) as pickle-file
transparency	Applies a transparency to image at specified (mask) location if provided
valid_1D	Asserts that the combined specification of resolution is geometrically valid.
valid_dict	Asserts that the combined specification of resolution in dict is geometrically valid.
valid_resolution	Asserts that the combined specification of resolution is geometrically valid.
validate_ppd	Put specification of ppd in canonical form, if possible
validate_shape	Put specification of shape (in pixels) in canonical form, if possible
validate_visual_size	Put specification of visual size in canonical form, if possible
visual_angle_from_length_ppd	Calculate visual angle (degrees) from length (pixels) and pixels-per-degree
visual_angles_from_lengths_ppd	Calculate visual sizes (degrees) from given shapes (pixels) and pixels-per-degree
visual_size_from_shape_ppd	Calculate visual size (degrees) from given shape (pixels) and pixels-per-degree