Question

我正在尝试执行违规检测，但这给了我这个错误

“ C：\ Users \ Khuram Yasin \ Anaconda3 \ envs \ test \ python.exe” “ D：/ Study / FYP / FYP_1 test / test.py”追溯（最近一次通话结束）：
在第6行的文件“ D：/ Study / FYP / FYP_1 test / test.py” detection.MainProcessor（“ cam_01”）文件“ D：\ Study \ FYP \ FYP_1 test \ detection.py”，第21行， init abc = self.processor.cross_violation（frame）文件“ D：\ Study \ FYP \ FYP_1 test \ processor \ TrafficProcessor.py”，第34行，在 cross_violation self.frame = imutils.resize（numpy.array（frame），width = 500）文件“ C：\ Users \ Khuram Yasin \ Anaconda3 \ envs \ test \ lib \ site-packages \ imutils \ convenience.py”，第69行，调整大小（h，w）= image.shape [：2] ValueError：没有足够的值可解包（预期2，得到1）

代码为：

MainProcessor类：

def __init__(self, camera_id):
    self.cam_id = camera_id
    frame = cv2.VideoCapture("Videos/uk_motorway.mkv").read()

    if camera_id == 'cam_01' or camera_id == 'cam_03':
        self.processor = TrafficProcessor()
        self.processor.zone1 = (100, 150)
        self.processor.zone2 = (450, 145)
        self.processor.thres = 30
        self.processor.cross_violation(frame)
        return frame

def cross_violation(self, frame):
    text = ""
    isCar = False
    cropped_cars = []  # list for taking all violated car's snap

    # resize the frame, convert it to grayscale, and blur it
    self.frame = imutils.resize(numpy.array(frame), width=500)
    self.gray = cv2.cvtColor(self.frame, cv2.COLOR_BGR2GRAY)
    self.gray = cv2.GaussianBlur(self.gray, (21, 21), 0)

    # if the first frame is None, initialize it
    if self.firstFrame is None:
        self.firstFrame = self.gray
        pack = {'frame': self.frame, 'reference': self.firstFrame, 'list_of_cars': cropped_cars, 'cnt': self.cnt}
        return pack

（h，w）= image.shape [：2] ValueError：没有足够的值可解包（预期2，得到1）

0 个答案: