(h，w) = image.shape[:2] AttributeError：'tuple‘对象没有'shape’属性

Question

我一直在尝试实现用于目标跟踪的OpenCv CSRT算法。下面是代码。

from imutils.video import VideoStream
from imutils.video import FPS
import argparse
import imutils
import time
import cv2
file1 = 'traffic.mp4'

tracker = cv2.TrackerCSRT_create()
initBB = None
vs = cv2.VideoCapture(file1)
fps = None

while True:
    frame = vs.read()
    
    if frame is None:
        break

    frame = imutils.resize(frame, width=500)
    (H, W) = frame.shape[:2]

    if initBB is not None:
        (success, box) = tracker.update(frame)
        if success:
            (x, y, w, h) = [int(v) for v in box]
            cv2.rectangle(frame, (x, y), (x + w, y + h), (0, 255, 0), 2)
        
        fps.update()
        fps.stop()
        
        info = [
            ("Tracker", "CSRT"),
            ("Success", "Yes" if success else "No"),
            ("FPS", "{:.2f}".format(fps.fps())),
        ]
    
        for (i, (k, v)) in enumerate(info):
            text = "{}: {}".format(k, v)
            cv2.putText(frame, text, (10, H - ((i * 20) + 20)),
                cv2.FONT_HERSHEY_SIMPLEX, 0.6, (0, 0, 255), 2)

    cv2.imshow("Frame", frame)
    key = cv2.waitKey(1) & 0xFF
    
    if key == ord("s"):
        initBB = cv2.selectROI("Frame", frame, fromCenter=False, showCrosshair=True)
        tracker.init(frame, initBB)
        fps = FPS().start()

    
    elif key == ord("q"):
        break
        
vs.release()
cv2.destroyAllWindows()

我从https://www.pyimagesearch.com/那拿到了代码。但除了从命令行运行之外，他们还实现了网络摄像头和视频捕获选项的代码。但我只是想在我的空闲时间跑一跑，看看录像带的选项。因此，我修改了一点，以便在空闲状态下运行。但是当我运行它时，我得到了以下错误

line 20, in <module> frame = imutils.resize(frame, width=500)
  File "C:\Python37\lib\site-packages\imutils\convenience.py", line 69, in resize
    (h, w) = image.shape[:2]
AttributeError: 'tuple' object has no attribute 'shape' 

你能给我指出正确的方向吗？

Answer 1

函数.read()返回一个布尔值(True/False)和一个帧(一个数组)。如果帧被正确读取，它将是True。因此，您应该将frame = vs.read()更改为_, frame = vs.read()，如下所示(我希望如果没有其他错误，它应该可以工作)：

...

while True:
    _, frame = vs.read()
      
    frame = imutils.resize(frame, width=500)
    (H, W) = frame.shape[:2]
    ...