# load the data #
#################
plt.ion()
root = tk.Tk()
root.withdraw()
file_path = filedialog.askopenfilename(initialdir=datadir,
filetypes=[("NPZ", "*.npz"),
("NPY", "*.npy"),
("CXI", "*.cxi"),
("HDF5", "*.h5"),
("all files", "*.*")])
_, ext = os.path.splitext(file_path)
if ext in {'.png', '.jpg', '.tif'}:
obj = util.image_to_ndarray(filename=file_path,
convert_grey=True,
cmap='gray',
debug=False)
else:
obj, _ = util.load_file(file_path)
ndim = obj.ndim
#########################
# check some parameters #
#########################
valid_name = 'bcdi_line_profile'
if ndim not in {2, 3}:
raise ValueError(f'Number of dimensions = {ndim}, expected 2 or 3')
valid.valid_container(direction,
container_types=(list, tuple, np.ndarray),
length=ndim,
plt.ion()
root = tk.Tk()
root.withdraw()
file_path = filedialog.askopenfilename(
initialdir=datadir,
filetypes=[
("NPZ", "*.npz"),
("NPY", "*.npy"),
("CXI", "*.cxi"),
("HDF5", "*.h5"),
("all files", "*.*"),
],
)
_, ext = os.path.splitext(file_path)
if ext in {".png", ".jpg", ".tif"}:
obj = util.image_to_ndarray(filename=file_path, convert_grey=True)
else:
obj, _ = util.load_file(file_path)
obj = abs(obj)
ndim = obj.ndim
if isinstance(voxel_size, Real):
voxel_size = (voxel_size, ) * ndim
print(f"Object shape = {obj.shape}, voxel size = {voxel_size}")
if upsampling_factor > 1:
obj, voxel_size = fu.upsample(
array=obj,
upsampling_factor=upsampling_factor,
voxelsizes=voxel_size,
title="modulus",