我正在计算黑色像素的数量，以检测运动并得到此错误tuple indices must be integers, not tuple如果有人能告诉我我搞砸了哪里，我将不胜感激。下面是我的代码。
class MotionDetectorInstantaneous():
def onChange(self, val): #callback when the user change the detection threshold
self.threshold = val
def __init__(self,threshold=15, doRecord=True, showWindows=True):
self.writer = None
self.font = None
self.doRecord=doRecord #Either or not record the moving object
self.show = showWindows #Either or not show the 2 windows
self.frame = None
self.capture = cv2.VideoCapture(0)
self.capture.set(cv2.cv.CV_CAP_PROP_FRAME_WIDTH, 1280)
self.capture.set(cv2.cv.CV_CAP_PROP_FRAME_HEIGHT, 720)
self.width = int(self.capture.get(cv2.cv.CV_CAP_PROP_FRAME_WIDTH))
self.height = int(self.capture.get(cv2.cv.CV_CAP_PROP_FRAME_HEIGHT))
self.capture.grab()
rval, self.frame = self.capture.retrieve()
if doRecord:
self.initRecorder()
self.frame1gray = np.zeros((self.height,self.width,3), np.uint8)
print "2: frame1gray type: ",type(self.frame1gray) , np.size(self.frame1gray)
self.frame1gray = cv2.cvtColor(self.frame, cv2.COLOR_BGR2GRAY)
self.res = np.zeros((self.height,self.width,3), np.uint8)
print "3: res type: ",type(self.res) , np.size(self.res)
self.frame2gray = np.zeros((self.height,self.width,3), np.uint8)
print "4: frame2gray type: ",type(self.frame2gray) , np.size(self.frame2gray)
self.width = self.width
print "width",self.width
self.height = self.height
print "height", self.height
self.nb_pixels = self.width * self.height
self.threshold = threshold
self.isRecording = False
self.trigger_time = 0 #Hold timestamp of the last detection
if showWindows:
cv.NamedWindow("Image")
cv.CreateTrackbar("Detection treshold: ", "Image", self.threshold, 100, self.onChange)
def initRecorder(self): #Create the recorder
codec = cv2.cv.FOURCC('M', 'J', 'P', 'G')
self.writer=cv2.VideoWriter(datetime.now().strftime("%b-%d_%H_%M_%S")+".wmv", codec, 5, (self.width, self.height), 1)
def run(self):
started = time.time()
while True:
self.capture.grab()
rval, curframe = self.capture.retrieve()
print "6: curframe type: ",type(curframe) , np.size(curframe)
instant = time.time() #Get timestamp o the frame
self.processImage(curframe) #Process the image
if not self.isRecording:
if self.somethingHasMoved():
self.trigger_time = instant #Update the trigger_time
if instant > started +5:#Wait 5 second after the webcam start for luminosity adjusting etc..
print datetime.now().strftime("%b %d, %H:%M:%S"), "Something is moving !"
if self.doRecord: #set isRecording=True only if we record a video
self.isRecording = True
else:
if instant >= self.trigger_time +10: #Record during 10 seconds
print datetime.now().strftime("%b %d, %H:%M:%S"), "Stop recording"
self.isRecording = False
else:
#cv.PutText(curframe,datetime.now().strftime("%b %d, %H:%M:%S"), (25,30),self.font, 0) #Put date on the frame
cv.WriteFrame(self.writer, curframe) #Write the frame
if self.show:
cv.ShowImage("Image", curframe)
cv.ShowImage("Res", self.res)
cv.Copy(self.frame2gray, self.frame1gray)
c=cv.WaitKey(1) % 0x100
if c==27 or c == 10: #Break if user enters 'Esc'.
break
def processImage(self, frame):
self.frame2gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
self.res = cv2.absdiff(self.frame1gray, self.frame2gray)
self.res = cv2.GaussianBlur(self.res, (15, 15), 0)
kernel = np.ones((3, 3), np.uint8)
self.res = cv2.morphologyEx(self.res, cv2.MORPH_OPEN, kernel)
self.res = cv2.morphologyEx(self.res, cv2.MORPH_GRADIENT, kernel)
self.res = cv2.threshold(self.res, 10, 255, cv2.THRESH_BINARY_INV)
def somethingHasMoved(self):
nb=0 #Will hold the number of black pixels
for x in range(self.height): #Iterate the hole image
print "row", x
for y in range(self.width):
print "col", y
if self.res[x,y] == 0.0: #If the pixel is black keep it
nb += 1
print "black pixels: ", nb
print "total pixels: ", self.nb_pixels
avg = (nb*100.0)/self.nb_pixels #Calculate the average of black pixel in the image
print"average movement : ",avg
if avg > self.threshold:#If over the ceiling trigger the alarm
return True
else:
return False
if __name__=="__main__":
detect = MotionDetectorInstantaneous(doRecord=True)
detect.run()
在此功能的上方代码def somethingHasMoved(self):我到了if self.res[x,y] == 0.0: