def search_face(self, face_object):
for i,face in enumerate(self.faces):
dx = max(face.w, face_object.w)
dy = max(face.h, face_object.h)
d = max(dx,dy)/2
if calc_d(face.get_center(), face_object.get_center()) < d:
return face,i
return None,-1
def search_face(self, face_object):
for i, face in enumerate(self.faces):
dx = max(face.w, face_object.w)
dy = max(face.h, face_object.h)
d = max(dx, dy) / 2
if calc_d(face.get_center(), face_object.get_center()) < d:
return face, i
return None, -1
def is_face_exists(self,face1):
x,y,w,h = face1.ravel()
face1_center = (x+w/2, y+h/2)
max_distance = h
for face2 in self.faces:
face2_center = face2.get_center()
max_distance = max(max_distance,h)
distance = calc_d(face1_center,face2_center)
if distance < max_distance:
return True
return False
def is_face_exists(self, face1):
x, y, w, h = face1.ravel()
face1_center = (x + w / 2, y + h / 2)
max_distance = h
for face2 in self.faces:
face2_center = face2.get_center()
max_distance = max(max_distance, h)
distance = calc_d(face1_center, face2_center)
if distance < max_distance:
return True
return False
def update_centers(self, list_name, object):
list = self.centers[list_name]
if len(list) < 3 or object == self.none:
list.appendleft(object)
return
l = np.array(list)
x = l[:,0]
y = l[:,1]
is_none = x == -1
x = np.delete(x,np.where(is_none == True))
y = np.delete(y,np.where(is_none == True))
if len(x) < 3:
list.appendleft(object)
return
x_med = int(np.median(x))
y_med = int(np.median(y))
d = calc_d((x_med,y_med),object)
if d < 80:
list.appendleft(object)
def update_centers(self, list_name, object):
list = self.centers[list_name]
if len(list) < 3 or object == self.none:
list.appendleft(object)
return
l = np.array(list)
x = l[:,0]
y = l[:,1]
is_none = x == -1
x = np.delete(x,np.where(is_none == True))
y = np.delete(y,np.where(is_none == True))
if len(x) < 3:
list.appendleft(object)
return
x_med = int(np.median(x))
y_med = int(np.median(y))
d = calc_d((x_med,y_med),object)
if d < 80:
list.appendleft(object)
