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()