fullResStream = picamera.array.PiRGBArray(camera)
with picamera.array.PiRGBArray(camera) as stream:
camera.resolution = (160, 120)
#i = 0
fr = 1
while True:
camera.capture(stream, format='bgr', use_video_port=True)
# At this point the image is available as stream.array
image = stream.array
#rotate image
#image=image[::-1,::-1]
if detectRight:
hands = handDetect(hand_cascade,
image,
detectLeft=False,
getNegSamples=False)
rhValidator.feedNewHandList(hands)
if rhValidator.checkForDetectionAndUpdateCounter():
rbeep.play()
#print rhValidator.foundHandPos
foundRHand = np.array(rhValidator.foundHandPos)
foundRHandFullSize = RESIZE_FULL_RES_FACTOR * foundRHand #
print foundRHand
newx, newy, neww, newh = foundRHand
detectRight = True
else:
# check for left in same frame and in num_attmept next frames
if numLeftAttempts < MAX_NUM_LEFT_ATTMEPTS:
print "searching for left hand attempt#", numLeftAttempts
lhands = handDetect(hand_cascade,
with picamera.PiCamera() as camera:
fullResStream = picamera.array.PiRGBArray(camera)
with picamera.array.PiRGBArray(camera) as stream:
camera.resolution = (160,120)
#i = 0
fr = 1
while True:
camera.capture(stream, format='bgr' , use_video_port = True)
# At this point the image is available as stream.array
image = stream.array
#rotate image
#image=image[::-1,::-1]
if detectRight:
hands = handDetect(hand_cascade , image ,detectLeft = False, getNegSamples = False)
rhValidator.feedNewHandList(hands)
if rhValidator.checkForDetectionAndUpdateCounter():
rbeep.play()
#print rhValidator.foundHandPos
foundRHand = np.array(rhValidator.foundHandPos)
foundRHandFullSize = RESIZE_FULL_RES_FACTOR*foundRHand #
print foundRHand
newx,newy,neww,newh = foundRHand
detectRight = False
else:
# check for left in same frame and in num_attmept next frames
if numLeftAttempts < MAX_NUM_LEFT_ATTMEPTS:
print "searching for left hand attempt#",numLeftAttempts
lhands = handDetect(hand_cascade, image, detectLeft = True, getNegSamples = False)
print lhands
hand_cascade = cv2.CascadeClassifier('cascadeMT.xml')
with picamera.PiCamera() as camera:
with picamera.array.PiRGBArray(camera) as stream:
camera.resolution = (160,120)
while True:
camera.capture(stream, format='bgr' , use_video_port = True)
# At this point the image is available as stream.array
image = stream.array
gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
gray = cv2.flip(gray,0)
gray = cv2.flip(gray,1)
handDetect(hand_cascade , gray ,detectLeft = True, getNegSamples = False)
cv2.imshow('image',gray)
if cv2.waitKey(1) & 0xFF == ord('q'):
break
stream.seek(0)
stream.truncate()
cv2.destroyAllWindows()
