def find_main_countour(image):
cnts, hierarchy = cv.findContours(image, cv.RETR_CCOMP, cv.CHAIN_APPROX_SIMPLE)
C = None
if cnts is not None and len(cnts) > 0:
C = max(cnts, key = cv.contourArea)
if C is None:
return None, None
rect = cv.minAreaRect(C)
box = cv.boxPoints(rect)
box = np.int0(box)
box = geom.order_box(box)
return C, box
cv2.THRESH_BINARY_INV) # invert the pixels of the image frame
# im2,contours,hierarchy = cv2.findContours(thresh, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)
# im2,contours,hierarchy = cv2.findContours(th2, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)
contours, hierarchy = cv2.findContours(th2, cv2.RETR_TREE,
cv2.CHAIN_APPROX_SIMPLE)
global_contours = copy.deepcopy(contours)
C = None
if contours is not None and len(contours) > 0:
C = max(contours, key=cv2.contourArea)
if C is not None:
rect = cv2.minAreaRect(C)
box = cv2.boxPoints(rect)
box = np.int0(box)
box = geom.order_box(box)
global_box = copy.deepcopy(box)
p1, p2 = geom.calc_box_vector(box)
(angle, shift) = (0, 0)
(gc_x, gc_y) = (0, 0)
if DIRECTION_STATE == bconf.DIRECTION.LEFT:
angle = geom.get_horz_angle(p1, p2, W, H)
shift = geom.get_vert_shift(p1[0], H)
if angle < 45:
DIRECTION_STATE = bconf.DIRECTION.DOWN
elif angle > 135:
DIRECTION_STATE = bconf.DIRECTION.UP
gc_x = centerPos[0] - crop_LRFB[0]
