def check_goban_moved(prev_corners, current_corners):
"""Comprobamos si es posible el movimiento de tablero detectado.
:Param prev_corners: corners detectados anteriormente
:Type prev_corners: list
:Param current_corners: corners detectados actualmente
:Type current_corners: list
:Return: True si el tablero se ha movido
:Rtype: bool """
if not prev_corners or not current_corners:
return True
dist_min_of_movement = get_max_edge(prev_corners) / (2 * GOBAN_SIZE)
" Comprobamos primero si existe mucho movimiento. "
dist = []
directions = []
for i in xrange(NUM_EDGES):
dist.append(abs(distance(prev_corners[i], current_corners[i])))
directions.append(direction(prev_corners[i], current_corners[i]))
f = lambda x: x > 1
dist_list = filter(f, dist)
if len(dist_list) > 2:
# min_mov=1/3 square TODO check impossible movement (Direcction)
min_mov = get_max_edge(prev_corners) / ((GOBAN_SIZE - 1) * 3.0)
dist_list.sort()
if (dist_list[-1] - dist_list[0]) < min_mov:
return check_directions(directions)
elif (dist_list[-1] - dist_list[-3]) < min_mov:
return check_directions(directions)
else:
return False
else:
return False
def check_goban_moved(prev_corners, current_corners):
"""Comprobamos si es posible el movimiento de tablero detectado.
:Param prev_corners: corners detectados anteriormente
:Type prev_corners: list
:Param current_corners: corners detectados actualmente
:Type current_corners: list
:Return: True si el tablero se ha movido
:Rtype: bool """
if not prev_corners or not current_corners:
return True
dist_min_of_movement = get_max_edge(prev_corners)/(2*GOBAN_SIZE)
" Comprobamos primero si existe mucho movimiento. "
dist = []
directions = []
for i in xrange(NUM_EDGES):
dist.append(abs(distance(prev_corners[i], current_corners[i])))
directions.append(direction(prev_corners[i], current_corners[i]))
f = lambda x: x>1
dist_list = filter(f, dist)
if len(dist_list) > 2:
# min_mov=1/3 square TODO check impossible movement (Direcction)
min_mov = get_max_edge(prev_corners)/((GOBAN_SIZE-1)*3.0)
dist_list.sort()
if (dist_list[-1] - dist_list[0]) < min_mov:
return check_directions(directions)
elif (dist_list[-1] - dist_list[-3]) < min_mov:
return check_directions(directions)
else:
return False
else:
return False
def perspective(img, corners):
"""Crea una imagen en modelo ideal del tablero dado en perspectiva.
:Param img: imagen con el tablero en perspectiva
:Todo: comprobar de que tipo es la imagen TODO
:Type img: IplImage or CvMat
:Param corners: lista de las esquinas del tablero
:Type corners: list
:Return: imagen en modelo ideal
:Rtype: IplImage
"""
max_edge = get_max_edge(corners)
corners = get_external_corners(corners)
# The goban have a relation 15/14 height/width
relation = 14/15.0
# In the sequence, the orden of corners are ul, dl, dr, ur
corners_transf = ((0,0),(0,max_edge),(max_edge,0),(max_edge,max_edge))
mat = CreateMat(3, 3, CV_32FC1)
GetPerspectiveTransform( corners, corners_transf, mat)
src = CreateImage((max_edge, max_edge), img.depth, img.nChannels)
WarpPerspective(img, src, mat)
return src
def perspective(img, corners):
"""Crea una imagen en modelo ideal del tablero dado en perspectiva.
:Param img: imagen con el tablero en perspectiva
:Todo: comprobar de que tipo es la imagen TODO
:Type img: IplImage or CvMat
:Param corners: lista de las esquinas del tablero
:Type corners: list
:Return: imagen en modelo ideal
:Rtype: IplImage
"""
max_edge = get_max_edge(corners)
corners = get_external_corners(corners)
# The goban have a relation 15/14 height/width
relation = 14 / 15.0
# In the sequence, the orden of corners are ul, dl, dr, ur
corners_transf = ((0, 0), (0, max_edge), (max_edge, 0), (max_edge,
max_edge))
mat = CreateMat(3, 3, CV_32FC1)
GetPerspectiveTransform(corners, corners_transf, mat)
src = CreateImage((max_edge, max_edge), img.depth, img.nChannels)
WarpPerspective(img, src, mat)
return src
