本文整理匯總了Python中cv2.convexityDefects方法的典型用法代碼示例。如果您正苦於以下問題：Python cv2.convexityDefects方法的具體用法？Python cv2.convexityDefects怎麽用？Python cv2.convexityDefects使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類cv2的用法示例。
在下文中一共展示了cv2.convexityDefects方法的7個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。
示例1: FindHullDefects
# 需要導入模塊: import cv2 [as 別名]
# 或者: from cv2 import convexityDefects [as 別名]
def FindHullDefects(self, segment):
_,contours,hierarchy = cv2.findContours(segment, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)
# find largest area contour
max_area = -1
for i in range(len(contours)):
area = cv2.contourArea(contours[i])
if area>max_area:
cnt = contours[i]
max_area = area
cnt = cv2.approxPolyDP(cnt,0.01*cv2.arcLength(cnt,True),True)
hull = cv2.convexHull(cnt, returnPoints=False)
defects = cv2.convexityDefects(cnt, hull)
return [cnt,defects] 示例2: manage_image_opr
# 需要導入模塊: import cv2 [as 別名]
# 或者: from cv2 import convexityDefects [as 別名]
def manage_image_opr(frame, hand_hist):
hist_mask_image = hist_masking(frame, hand_hist)
hist_mask_image = cv2.erode(hist_mask_image, None, iterations=2)
hist_mask_image = cv2.dilate(hist_mask_image, None, iterations=2)
contour_list = contours(hist_mask_image)
max_cont = max(contour_list, key=cv2.contourArea)
cnt_centroid = centroid(max_cont)
cv2.circle(frame, cnt_centroid, 5, [255, 0, 255], -1)
if max_cont is not None:
hull = cv2.convexHull(max_cont, returnPoints=False)
defects = cv2.convexityDefects(max_cont, hull)
far_point = farthest_point(defects, max_cont, cnt_centroid)
print("Centroid : " + str(cnt_centroid) + ", farthest Point : " + str(far_point))
cv2.circle(frame, far_point, 5, [0, 0, 255], -1)
if len(traverse_point) < 20:
traverse_point.append(far_point)
else:
traverse_point.pop(0)
traverse_point.append(far_point)
draw_circles(frame, traverse_point) 示例3: calculateFingers
# 需要導入模塊: import cv2 [as 別名]
# 或者: from cv2 import convexityDefects [as 別名]
def calculateFingers(res,drawing): # -> finished bool, cnt: finger count
# convexity defect
hull = cv2.convexHull(res, returnPoints=False)
if len(hull) > 3:
defects = cv2.convexityDefects(res, hull)
if type(defects) != type(None): # avoid crashing. (BUG not found)
cnt = 0
for i in range(defects.shape[0]): # calculate the angle
s, e, f, d = defects[i][0]
start = tuple(res[s][0])
end = tuple(res[e][0])
far = tuple(res[f][0])
a = math.sqrt((end[0] - start[0]) ** 2 + (end[1] - start[1]) ** 2)
b = math.sqrt((far[0] - start[0]) ** 2 + (far[1] - start[1]) ** 2)
c = math.sqrt((end[0] - far[0]) ** 2 + (end[1] - far[1]) ** 2)
angle = math.acos((b ** 2 + c ** 2 - a ** 2) / (2 * b * c)) # cosine theorem
if angle <= math.pi / 2: # angle less than 90 degree, treat as fingers
cnt += 1
cv2.circle(drawing, far, 8, [211, 84, 0], -1)
return True, cnt
return False, 0
# Camera 示例4: isArrow
# 需要導入模塊: import cv2 [as 別名]
# 或者: from cv2 import convexityDefects [as 別名]
def isArrow(heptagon):
hull = cv2.convexHull(heptagon, returnPoints = False)
if len(hull) > 2:
defects = cv2.convexityDefects(heptagon, hull)
if defects is None or len(defects) != 2:
return False
farpoints = [d[0][2] for d in defects]
if not np.abs(farpoints[0] - farpoints[1]) in [3, 4]:
return False
for defect in defects:
s, e, f, d = defect[0]
# print defects
# s, e, f, d = defect[0]
ps = heptagon[s, 0]
pe = heptagon[e, 0]
pd = heptagon[f, 0]
if angle(ps, pd, pe) < 120:
return True
return False 示例5: isArrow
# 需要導入模塊: import cv2 [as 別名]
# 或者: from cv2 import convexityDefects [as 別名]
def isArrow(heptagon):
hull = cv2.convexHull(heptagon, returnPoints=False)
if len(hull) > 2:
defects = cv2.convexityDefects(heptagon, hull)
if defects is None or len(defects) != 2:
return False
farpoints = [d[0][2] for d in defects]
if not np.abs(farpoints[0] - farpoints[1]) in [3, 4]:
return False
for defect in defects:
s, e, f, d = defect[0]
# print defects
# s, e, f, d = defect[0]
ps = heptagon[s, 0]
pe = heptagon[e, 0]
pd = heptagon[f, 0]
if angle(ps, pd, pe) < 120:
return True
return False 示例6: tip
# 需要導入模塊: import cv2 [as 別名]
# 或者: from cv2 import convexityDefects [as 別名]
def tip(arrow):
hull = cv2.convexHull(arrow, returnPoints = False)
defects = cv2.convexityDefects(arrow, hull)
farpoints = [d[0][2] for d in defects]
if np.abs(farpoints[0] - farpoints[1]) == 4:
return arrow[sum(farpoints) / 2, 0]
else:
return arrow[0, 0] 示例7: tip
# 需要導入模塊: import cv2 [as 別名]
# 或者: from cv2 import convexityDefects [as 別名]
def tip(arrow):
hull = cv2.convexHull(arrow, returnPoints=False)
defects = cv2.convexityDefects(arrow, hull)
farpoints = [d[0][2] for d in defects]
if np.abs(farpoints[0] - farpoints[1]) == 4:
return arrow[sum(farpoints) / 2, 0]
else:
return arrow[0, 0]