def get_image_list(self, verbal=False):
if verbal:
print()
print("*** Get image list ***")
print("---------------------------------")
filename = 'Indian_pines_corrected.mat'
ImDict = io.loadmat(self.data_dir + filename)
image_name = 'indian_pines_corrected'
the_image = ImDict[image_name]
image_size = np.shape(the_image)
NRows = image_size[0]
NCols = image_size[1]
NBands = image_size[2]
if verbal:
print("Lokalizacja obrazu: \t", self.data_dir + filename)
print("Nazwa obrazu: \t\t\t", image_name)
print("Rozmiar: \t\t\t\t", "wiersze: ", NRows, " kolumny: ", NCols,
" zakresy: ", NBands)
print("Ilośc pikseli (ilość kolumn * ilość wierszy): ",
NRows * NCols)
if verbal:
print()
print("*** Converting image to uint8 ***")
print("---------------------------------")
# converted_image = mo.numpy_to_uint8(the_image)
the_image = mo.numpy_to_uint8(the_image)
the_image_list = []
for row in the_image:
for element in row:
the_image_list.append(element)
print("List of points shape: ", np.shape(the_image_list))
return the_image_list
def get_image(self, verbal=False):
if verbal:
print()
print("*** Get image ***")
print("---------------------------------")
if not self.image_exists:
filename = 'PaviaU.mat'
ImDict = io.loadmat(self.data_dir + filename)
image_name = 'paviaU'
the_image = ImDict[image_name]
image_size = np.shape(the_image)
NRows = image_size[0]
NCols = image_size[1]
depth = image_size[2]
print("Lokalizacja obrazu: \t", self.data_dir + filename)
print("Nazwa obrazu: \t\t\t", image_name)
print("Rozmiar: \t\t\t\t", "wiersze: ", NRows, " kolumny: ", NCols,
" głębokość: ", depth)
print("Ilośc pikseli (ilość kolumn * ilość wierszy): ",
NRows * NCols)
print()
print("*** Converting image to uint8 ***")
print("---------------------------------")
the_image = mo.numpy_to_uint8(the_image)
self.image = the_image
self.image_exists = True
return self.image
def get_image_list(self, verbal=False):
if verbal:
print()
print("*** Get image list ***")
print("---------------------------------")
if not self.image_list_exists:
filename = 'jasperRidge2_R198.mat'
ImDict = io.loadmat(self.data_dir + filename)
image_name = 'Y'
the_image_list = ImDict[image_name]
the_image_list = the_image_list.transpose()
the_image_list_turned = mo.turn_image_in_list(
the_image_list, self.image_shape)
image_size = np.shape(the_image_list_turned)
NRows = image_size[0]
NCols = image_size[1]
print("Lokalizacja obrazu: \t", self.data_dir + filename)
print("Nazwa obrazu: \t\t\t", image_name)
print("Rozmiar: \t\t\t\t", "wiersze: ", NRows, " kolumny: ", NCols)
print("Ilośc pikseli (ilość kolumn * ilość wierszy): ",
NRows * NCols)
print()
print("*** Converting image to uint8 ***")
print("---------------------------------")
the_image_list = mo.numpy_to_uint8(the_image_list)
self.image_list = the_image_list_turned
self.image_list_exists = True
return self.image_list