def load_image(image_name):
bands = WORLDVIEW3
base_path = data_path()
image_file = "{base_path}/{image_name}.{extension}".format(
base_path=base_path, image_name=image_name, extension=extension)
return SatelliteImage.load_from_file(image_file, bands)
y_truth_slum, y_pred_slum).size
n_clusters = 32
pantex_window_sizes = ((100, 100), (200, 200), (300, 300))
class_names = {
0: 'Non-Slum',
1: 'Slum',
}
images = [
'section_1',
'section_2',
'section_3',
]
show_plots = False
base_path = data_path()
extension = 'tif'
main_window_size = (30, 30)
percentage_threshold = 0.5
class_ratio = 2.0
# feature_set = FeatureSet()
# lacunarity = Lacunarity(windows=((100, 100), (200, 200), (300, 300)))
# feature_set.add(lacunarity, "LACUNARITY")
# feature_set.add(pantex, "PANTEX")
best_score = 0
bands = WORLDVIEW3
def load_image(image_name):