def search_min_area_rect(self, image_path):
contours = self.get_contours(image_path)
regions = []
for con in contours:
cv2.approxPolyDP(con, 3, True)
#box = region.rect(cv2.boundingRect(con))
box = region.rotated_rect(cv2.minAreaRect(con))
regions.append(box)
return regions
def search_min_area_rect(self, image_path):
contours = self.get_contours(image_path)
regions = []
for con in contours:
cv2.approxPolyDP(con, 3, True)
#box = region.rect(cv2.boundingRect(con))
box = region.rotated_rect(cv2.minAreaRect(con))
regions.append(box)
return regions
def search_bounding_boxies(self, image_path):
contours = self.get_contours(image_path)
regions = []
for con in contours:
cv2.approxPolyDP(con, 3, True)
center, radius = cv2.minEnclosingCircle(con)
cir = region.circle(center, radius)
cvrot = cv2.fitEllipse(con)
eli = region.ellipse(cvrot)
box = region.rect(cv2.boundingRect(con))
rot = region.rotated_rect(cv2.minAreaRect(con))
logging.debug("area: cir={}, box={}, rot={}, eli={}".format(
cir.area, box.area, rot.area, eli.area))
regions.append(self.choose_region_by_area(cir, box, rot))
return regions
def search_bounding_boxies(self, image_path):
contours = self.get_contours(image_path)
regions = []
for con in contours:
cv2.approxPolyDP(con, 3, True)
center, radius = cv2.minEnclosingCircle(con)
cir = region.circle(center, radius)
cvrot = cv2.fitEllipse(con)
eli = region.ellipse(cvrot)
box = region.rect(cv2.boundingRect(con))
rot = region.rotated_rect(cv2.minAreaRect(con))
logging.debug("area: cir={}, box={}, rot={}, eli={}".format(
cir.area, box.area, rot.area, eli.area))
regions.append(self.choose_region_by_area(cir, box, rot))
return regions
