def callbackFunction(annotations: List[List[Dict[str, float]]]): # pylint: disable=invalid-name
"""Callback function.
This is the call back function to capture the data from the frontend and
convert the data into a numpy array.
Args:
annotations: list[list[dict[str, float]]]
The input of the call back function is a list of list of objects
corresponding to the annotations. The format of annotations is shown
below
[
// stuff for image 1
[
// stuff for rect 1
{x, y, w, h},
// stuff for rect 2
{x, y, w, h},
...
],
// stuff for image 2
[
// stuff for rect 1
{x, y, w, h},
// stuff for rect 2
{x, y, w, h},
...
],
...
]
"""
# reset the boxes list
nonlocal box_storage_pointer
boxes: List[np.ndarray] = box_storage_pointer
boxes.clear()
# load the new annotations into the boxes list
for annotations_per_img in annotations:
rectangles_as_arrays = [
np.clip(dictToList(annotation), 0, 1)
for annotation in annotations_per_img
]
if rectangles_as_arrays:
boxes.append(np.stack(rectangles_as_arrays))
else:
boxes.append(None)
# output the annotations to the errorlog
with output.redirect_to_element('#errorlog'):
display('--boxes array populated--')
def _active_component(self, component_id):
"""Sets active subcomponent."""
if not self._published:
self._publish()
if self._current_component is not None:
raise WidgetException('Already inside a component')
self._current_component = component_id
_util.flush_all()
with self._output_in_widget():
with output.use_tags(self._current_component):
with output.redirect_to_element('#' + component_id):
with output.use_tags('user_output'):
try:
yield
finally:
_util.flush_all()
self._current_component = None