def predict_single(self, page: DatabasePage) -> Result:
pcgts = page.pcgts()
import pickle
staff_lines: List[Coords] = []
pcgts = pcgts
for mr in pcgts.page.music_blocks():
for ml in mr.lines:
staff_lines += [
pcgts.page.page_to_image_scale(
s.coords, PageScaleReference.NORMALIZED)
for s in ml.staff_lines
]
with open(
page.file('connected_components_norm',
create_if_not_existing=True).local_path(),
'rb') as pkl:
polys = extract_components(
pickle.load(pkl),
pcgts.page.page_to_image_scale(self.initial_line,
PageScaleReference.NORMALIZED),
staff_lines)
polys = [
pcgts.page.image_to_page_scale(c,
PageScaleReference.NORMALIZED)
for c in polys
]
return Result(polys)
def unprocessed(cls, page: DatabasePage) -> bool:
return all(
[len(l.symbols) == 0 for l in page.pcgts().page.all_music_lines()])
def unprocessed(cls, page: DatabasePage) -> bool:
return len(page.pcgts().page.text_blocks()) == 0
def unprocessed(cls, page: DatabasePage) -> bool:
if not page.pcgts():
return True
return len(page.pcgts().page.annotations.connections) == 0