def _showBlobs( self, b ):
img = self.raw.copy()
if b is not None:
for x,y in b:
xy = (int(x),int(y))
cv2_circle(img,xy,10,(0,255,0),thickness=2)
#cv2_circle(img,xy,5,(0,0,0),thickness=-1)
cv2_imshow('Tracker',img)
def play_image_sequence(self, frame_rate=25):
"""
plot the images just like a video
:return:
"""
frame_duration = 1000 // frame_rate
for i, img in enumerate(self.left_sequence):
cv2_imshow('', img)
cv2_waitKey(frame_duration)
print('Frame-' + str(i + 1))
def run( self ):
res,img = self.cam.read()
if res:
cv2_imshow('Tracker',img)
try:
while waitKey(5) not in {27,113}:
self.work()
finally:
self.out.close()
self.cam.release()
destroyAllWindows()
[ waitKey(50) for k in range(10) ]
print "\n"+"*"*40+"\nSafely terminated\n"+"*"*40
def pause(time, ground):
while time >= 1:
ground[np_shape(ground)[1] / 2 + 70:np_shape(ground)[1] / 2 + 100,
np_shape(ground)[1] / 2 - 10:np_shape(ground)[1] / 2 +
40, :] = 255
cv2_putText(
ground, str(time),
(np_shape(ground)[1] / 2 - 5, np_shape(ground)[1] / 2 + 93),
cv2_FONT_HERSHEY_SIMPLEX, 1, 0)
cv2_imshow("Tic_Tac_Toe", ground)
k = cv2_waitKey(1000) & 0xFF
if k == 27:
return 1
elif k != 255:
return 0
time -= 1
return 0
def __play_video(self, video_capture: VideoCapture, frame_rate: int,
title: str):
frame_duration = 1000 // frame_rate
# Frame counter
i = 1
while video_capture.isOpened():
ret, frame = video_capture.read()
if ret:
# display frame
cv2_imshow(title, frame)
# wait 40ms and make another check before 'breaking'
if cv2_waitKey(frame_duration) & 0xFF == ord('q'):
break
i += 1
else:
break
print('Video player:', i, 'consecutive frames were displayed.')
def work( self ):
res,raw = self.cam.read()
if not res:
return
self.raw = raw
img = cvtColor(raw,COLOR_RGB2GRAY)
self.img = img
t = now()
if self.bg is not None:
d0 = img - (self.bg+3*self.bgs+self.guard)
d1 = (d0 / max(64,d0.max())).clip(0,1)
d2 = d1 * (img > 192)
self.ind = 255-asarray(255*d2,uint8)
cv2_imshow('ind',self.ind)
kp = self.bd.detect(self.ind)
b = [kpi.pt for kpi in kp]
if self.out:
self._outBlobs(t,b)
self._showBlobs(b)
if t-self.trr>self.rrRate:
self._putRoundRobin( t, img )
self.bg = mean( self.bgQ, axis=0 )
self.bgs = std( self.bgQ, axis=0 )
# find the indexes of all matched faces then initialize a
# dictionary to count the total number of times each face
# was matched
matchedIdxs = [i for (i, b) in enumerate(matches) if b]
counts = {}
# loop over the matched indexes and maintain a count for
# each recognized face face
for i in matchedIdxs:
name = data["names"][i]
counts[name] = counts.get(name, 0) + 1
# determine the recognized face with the largest number of
# votes (note: in the event of an unlikely tie Python will
# select first entry in the dictionary)
name = max(counts, key=counts.get)
# update the list of names
names.append(name)
# loop over the recognized faces
for ((top, right, bottom, left), name) in zip(boxes, names):
# draw the predicted face name on the image
cv2.rectangle(image, (left, top), (right, bottom), (0, 255, 0), 2)
y = top - 15 if top - 15 > 15 else top + 15
cv2.putText(image, name, (left, y), cv2.FONT_HERSHEY_SIMPLEX, 0.75,
(0, 255, 0), 2)
# show the output image
cv2.cv2_imshow(image)
cv2.waitKey(0)
cv2_putText(ground, "Hill", (30, 67), cv2_FONT_HERSHEY_SIMPLEX, 0.7,
[0, 0, 0], 2)
cv2_circle(ground, (15, 90), 5, (190, 160, 80), 9)
cv2_putText(ground, "Mountain", (30, 97), cv2_FONT_HERSHEY_SIMPLEX,
0.7, [0, 0, 0], 2)
cv2_circle(ground, (15, 120), 5, (20, 110, 180), 9)
cv2_putText(ground, "Forrest", (30, 127), cv2_FONT_HERSHEY_SIMPLEX,
0.7, [0, 0, 0], 2)
cv2_circle(ground, (15, 150), 5, (50, 250, 240), 9)
cv2_putText(ground, "Field", (30, 157), cv2_FONT_HERSHEY_SIMPLEX, 0.7,
[0, 0, 0], 2)
cv2_circle(ground, (15, 180), 5, (80, 255, 80), 9)
cv2_putText(ground, "Pasture", (30, 187), cv2_FONT_HERSHEY_SIMPLEX,
0.7, [0, 0, 0], 2)
if name % 100 == 0:
cv2_imshow('CATAN', ground)
if name % 100000 == 1:
d_sub = D_main + "\\" + str(
(name / 100000) * 100) + str(n_k) + '-' + str(
(1 + name / 100000) * 100) + 'K'
#folder(d_sub)
if name % 10000 == 1:
d_sub_1 = d_sub + "\\" + str(
(name / 10000) * 10) + str(n_k) + '-' + str(
(1 + name / 10000) * 10) + 'K'
#folder(d_sub_1)
if name % 1000 == 1:
d_sub_2 = d_sub_1 + "\\" + str(
name / 1000) + str(n_k) + '-' + str(1 + name / 1000) + 'K' + direct
n_k = "K"
folder(d_sub_2)
turn = 0
while True:
player_1 = []
player_2 = []
ground = np_ones((dim_y, dim_x, 3)) * 255
ground = ground.astype('uint8')
out_lines = lines(ground, dim_x, dim_y)
out_points = center_points(out_lines)
for i in xrange(9):
cv2_putText(ground, str(i + 1),
(out_points[i, 1] - 5, out_points[i, 0]),
cv2_FONT_HERSHEY_SIMPLEX, 1, 0)
while True:
cv2_imshow("Tic_Tac_Toe", ground)
key = cv2_waitKey(1) & 0xFF
if key == 27:
brk = 1
break
elif key != 255:
if key == 9:
cv2_imwrite('tic_tac_toe.PNG', ground)
if 49 <= key <= 57:
turn = fill_pose(ground, out_points, key, turn)
#cv2_imshow("Tic_Tac_Toe",ground)
br = winner(ground, turn, key, player_1, player_2)
cv2_imshow("Tic_Tac_Toe", ground)
if br == 1 or br == 2:
pl1 += (br == 1) * 1
pl2 += (br == 2) * 1
