Sonofica / utils /panel_ordering.py
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import cv2
class BoundingBox(object):
def __init__(self, xmin=None, ymin=None, xmax=None, ymax=None,
panels=None,
bbtype=None,
id_=""):
self.dict = {
"@xmin": xmin,
"@ymin": ymin,
"@xmax": xmax,
"@ymax": ymax,
"@id": id_,
}
if panels is None:
self.panels = [self]
else:
self.panels = panels
self.bbtype = bbtype
def init_dict(self, d):
self.dict = d
self.dict["@xmin"] = float(self.xmin)
self.dict["@ymin"] = float(self.ymin)
self.dict["@xmax"] = float(self.xmax)
self.dict["@ymax"] = float(self.ymax)
return self
def __getitem__(self, index):
return self.dict[index]
@property
def xmin(self):
return self.dict["@xmin"]
@property
def xmax(self):
return self.dict["@xmax"]
@property
def ymin(self):
return self.dict["@ymin"]
@property
def ymax(self):
return self.dict["@ymax"]
@property
def width(self):
return self.xmax - self.xmin
@property
def height(self):
return self.ymax - self.ymin
@property
def text(self):
return self.dict["#text"]
@property
def id(self):
return self.dict["@id"]
@property
def list(self):
return [self.xmin, self.ymin, self.xmax, self.ymax]
@property
def is_null(self):
return self.xmin is None or self.ymin is None or self.xmax is None or self.ymax is None
@property
def area(self):
if self.xmax is None or self.xmin is None or self.ymax is None or self.ymin is None:
return 0
return (self.xmax - self.xmin) * (self.ymax - self.ymin)
@property
def base_panels(self):
return len(self.panels)
def __getitem__(self, item):
return self.dict[item]
def __add__(self, a):
assert issubclass(type(a), BoundingBox)
if a.is_null:
return self
elif self.is_null:
return a
return BoundingBox(xmin=min(self.xmin, a.xmin),
ymin=min(self.ymin, a.ymin),
xmax=max(self.xmax, a.xmax),
ymax=max(self.ymax, a.ymax),
panels=self.panels + a.panels)
def __mul__(self, a):
assert issubclass(type(a), BoundingBox)
bb = BoundingBox(xmin=max(self.xmin, a.xmin),
ymin=max(self.ymin, a.ymin),
xmax=min(self.xmax, a.xmax),
ymax=min(self.ymax, a.ymax),
panels=self.panels + a.panels)
if bb.xmin > bb.xmax or bb.ymin > bb.ymax:
return BoundingBox()
else:
return bb
def __repr__(self):
return "<BoundingBox({},{}) {},{},{},{},{}>".format(self.bbtype, self.id, *self.list, self.base_panels)
def get_pivot_side(zmin, zmax, pivot):
interception_ratio_threshold = 0.25
if pivot <= zmin:
return 1
elif zmax <= pivot:
return 0
else:
pivot_z_ratio = (pivot - zmin) / (zmax - zmin)
interception_ratio = min(pivot_z_ratio, 1 - pivot_z_ratio)
if interception_ratio > interception_ratio_threshold:
return -1
else:
return 0 if pivot_z_ratio > 0.5 else 1
class BoxSet(set):
def get_highest_priority_division(self):
# Horizontal division
ydivs = sorted([bb.ymin for bb in self] + [bb.ymax for bb in self])
for pivot in ydivs:
division = self.get_pivot_division(pivot,
is_horizontal_division=True)
if len(division) > 1:
return division
# Vertical division
xdivs = sorted([bb.xmin for bb in self] + [bb.xmax for bb in self], reverse=True)
for pivot in xdivs:
division = self.get_pivot_division(pivot,
is_horizontal_division=False)
if len(division) > 1:
return division
# Undividable box set
return [self]
def get_pivot_division(self, pivot, is_horizontal_division):
divs = [BoxSet(), BoxSet()]
for bb in self:
if is_horizontal_division:
side = get_pivot_side(bb.ymin, bb.ymax, pivot)
else:
side = get_pivot_side(-bb.xmax, -bb.xmin, -pivot)
if side == -1:
return [self]
else:
divs[side].add(bb)
if len(divs[0]) == 0 or len(divs[1]) == 0:
return [self]
return divs
def get_multicut_division(self, cuts):
curset = self
cur_division = []
for cut in cuts:
pivot, is_horizontal_division = cut
division = curset.get_pivot_division(pivot, is_horizontal_division)
if len(division) > 1:
cur_division.append(division[0])
curset = division[1]
if len(cur_division) > 0:
return cur_division + [curset]
else:
return [self]
def yield_ordered_bbs(self):
if len(self) == 0:
pass
elif len(self) > 1:
yield self.sum(), False
else:
yield next(iter(self)), True
def sum(self):
if len(self) == 0:
return BoundingBox()
else:
l = list(self)
return sum(l[1:], l[0])
class BoxNode(object):
def __init__(self, bbset, initial_cuts=None):
if initial_cuts:
division = bbset.get_multicut_division(initial_cuts)
else:
division = [bbset]
if len(division) == 1:
division = bbset.get_highest_priority_division()
isLeaf = len(division) <= 1
self.division = division if isLeaf else [BoxNode(section) for section in division]
def yield_ordered_bbs(self):
for section in self.division:
for bb in section.yield_ordered_bbs():
yield bb
class BoxOrderEstimator(object):
def __init__(self, bbs, pagewidth=None, initial_cut_option=None):
if initial_cut_option == "two-page-four-panel":
initial_cuts = [(pagewidth * n / 4, False)
for n in reversed(range(1, 4))]
elif initial_cut_option == "two-page":
initial_cuts = [(pagewidth / 2, False)]
else:
initial_cuts = None
self.boxnode = BoxNode(BoxSet(bbs), initial_cuts)
t = tuple(zip(*self.boxnode.yield_ordered_bbs()))
if len(t) > 0:
self.ordered_bbs, self.bb_estimation_statuses = t
else:
self.ordered_bbs, self.bb_estimation_statuses = (), ()
def panel_ordering(test_image,dets):
image = cv2.imread(test_image)
image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB) # Convert BGR to RGB for display
# interception_ratio_threshold = 0.25
# print(predictions_frame)
panels = set()
# for panel in dets['frame']:
for panel in dets.panels:
panel = panel['bbox']
panels.add(BoundingBox(panel[0],panel[1],panel[2],panel[3]))
# print(panels)
# image = page.get_image()
pagewidth = image.size
pageheight, pagewidth, pagechannels = image.shape
# panels = page.get_bbs()["frame"]
# print(panels)
boxOrderEstimator = BoxOrderEstimator(
panels,
pagewidth=pagewidth,
initial_cut_option="two-page")
return boxOrderEstimator