iota2.tests.unittests.tests_utils.tests_utils_rasters

This module offers some tools for writing tests

Functions

CreateConcatenateImagesApplication(OtbParameters)	IN: parameter consistency are not tested here (done in otb's applications) every value could be string
array_to_raster(input_array, output_raster_path)	usage : from an array of a list of array, create a raster
compute_brightness_from_vector(input_vector)	compute brightness from a vector of values
ensure_dir(dirname[, raise_exe])	Ensure that a named directory exists; if it does not, attempt to create it.
fun_array(fun[, oversized])	arrays use in unit tests
generate_data_tree(directory, mtd_s2st_date)	generate a fake Sen2Cor data TODO : replace this function by downloading a Sen2Cor data from PEPS.
generate_fake_classif(output_raster[, ...])	generate a fake classification raster
generate_fake_l5_old_data(root_directory, ...)	type root_directory str
generate_fake_l8_data(root_directory, ...[, ...])	type root_directory str
generate_fake_l8_old_data(root_directory, ...)	type root_directory str
generate_fake_raster(output_file[, res, ...])	generate a mono-band raster
generate_fake_s2_data(root_directory, ...[, ...])	type root_directory str
generate_fake_s2_l3a_data(root_directory, ...)	type root_directory str
generate_fake_s2_s2c_data(output_directory, ...)	generate fake s2_s2c data
generate_fake_user_features_data(...)	type root_directory str
generate_range_raster(output_raster[, ...])	generate a raster with borned values
prepare_annual_features(working_directory, ...)	double all rasters's pixels rename must be a tuple
raster_to_array(InRaster)	convert a raster to an array
run(cmd[, desc, env, logger])	Launch a system command and raise an execption if fail
test_raster_unique_value(raster_path, value)	test if a raster contains an unique value

Classes

service_compare_image_file()

The class serviceCompareImageFile provides methods to compare two images file with gdal Code inspired from gdalCompare.py