def fit2d_save(mask, filename, dir_path=None):
"""
Compresses and wraps the mask for Fit2D use
Parameters
----------
mask: ndarray
The mask
filename: str
The filename
dir_path: str, optional
Path to the destination file
"""
saver = Fit2dMaskImage(data=~mask)
saver.write(_create_file_path(dir_path, filename, '.msk'))
def fit2d_save(mask, filename, dir_path=None):
"""
Compresses and wraps the mask for Fit2D use
Parameters
----------
mask: ndarray
The mask
filename: str
The filename
dir_path: str, optional
Path to the destination file
"""
# Fit2d works with inverted masks
mask = np.flipud(mask)
mask = np.abs(mask - 1)
b1, b2 = mask.shape
b28 = b2 // 8
c = np.zeros((b1, b28), dtype=np.uint8)
# bitmap compression for Fit2D io
# TODO: possibly parallizable
for i in range(0, b1):
j = 0
while j < b2:
c[i, math.floor(j / 8)] = mask[i, j]
for k in range(1, 8):
c[i, math.floor(j / 8)] += mask[i, j + k] * (2 ** k)
j += 8
maskname = _create_file_path(dir_path, filename, '.msk')
with open(maskname, "wb") as fout:
c.tofile(fout, "", "%x")
# Giant long mask header, must be there for fit2d to work with the mask
with open(maskname, 'rb') as mask:
bodypt1 = mask.read(262144)
bodypt2 = mask.read()
body = [bodypt1, bodypt2]
body2 = b"".join(body)
total = [header, body2]
total2 = b"".join(total)
with open(maskname, "wb") as fout:
fout.write(total2)
