def get_CSPAD_active_areas(image, version_phil):
from libtbx.phil import parse
from iotbx.detectors.npy import NpyImage
from spotfinder.applications.xfel.cxi_phil import cxi_basic_start
data = pickle.load(open(image, "rb"))
scope = parse(file_name=version_phil)
basic_scope = cxi_basic_start()
new_scope = basic_scope.phil_scope.fetch(source=scope)
phil = new_scope.extract()
img = NpyImage("dummy", source_data=data)
img.readHeader(phil)
tm = img.get_tile_manager(phil)
return list(tm.effective_tiling_as_flex_int())
def tiling_from_image(self):
if self.tm is not None:
return self.tm
labelit_regression = libtbx.env.find_in_repositories(
relative_path="labelit_regression", test=os.path.isdir)
if detector_phil is None:
detector_phil = os.path.join(labelit_regression, "xfel",
"cxi-10.1.phil")
detector_scope = parse(file_name=detector_phil)
basic_scope = cxi_basic_start()
new_scope = basic_scope.phil_scope.fetch(source=detector_scope)
tiling_phil = new_scope.extract()
img = NpyImage("dummy", source_data=img_data)
img.readHeader(tiling_phil)
self.tm = img.get_tile_manager(phil)
return self.tm