def lidar_tile(region_name,
resolution,
tile_key,
prefix='hag',
version=1,
return_profile=False):
path = paths.lidar_tile(region_name,
resolution,
tile_key,
prefix=prefix,
version=version)
return io.read(path, return_profile=return_profile)
def get_input(path):
im, p = io.read(path, return_profile=True)
im = hand.process_input(im,
rotate=False,
flip=False,
input_bands=INPUT_BANDS,
band_indices=INDICES,
indices_dict=None,
padding=None,
padding_value=0,
cropping=CROPPING,
means=MEANS,
stdevs=STDEVS,
preprocess=None)
return im, p
def im_data(path=None, paths=None, key=None):
if not path:
path = get_path_with_key(paths, key)
if path:
im = io.read(path, return_profile=False)
means, stdevs = stats(im)
black_pixel_count = (im[:3].sum(axis=0) == 0).sum()
shape = list(im.shape[1:])
else:
path = False
means = None
stdevs = None
black_pixel_count = None
shape = None
im = None
return path, means, stdevs, black_pixel_count, shape, im
