在函数 'cv::resize' 中检索 opencv 错误（-215：断言失败）!ssize.empty()

Question

我有以下代码，我将连续数据从流媒体发送到查看器。我正在检索 cv 函数 resize

中的错误

Streamer.py

footage_socket.connect('tcp://localhost:8080')
videoFile = "D:/sample.mp4"
camera = cv2.VideoCapture(videoFile)
while True:
  grabbed, frame = camera.read()
  try:
      frame = cv2.resize( frame, (224, 224) ).astype( "float32" )
 except cv2.error:
      break
  image= img_to_array(frame)
  image=image.reshape((1,image.shape[0],image.shape[1],image.shape[2]))
  image=preprocess_input(image)
  preds=model.predict(image)
  footage_socket.send(preds)
footage_socket.close()

Viewer.py

context = zmq.Context()
footage_socket = context.socket(zmq.SUB)
footage_socket.bind('tcp://*:8080')
footage_socket.setsockopt_string(zmq.SUBSCRIBE, np.unicode(''))
while True:
    frame = footage_socket.recv()
    img = cv2.imdecode(np.fromstring(base64.b64decode(frame),dtype = np.uint8),1)
    frame = cv2.resize( img, (224, 224) )
    image = img_to_array( frame )
    image = image.reshape( (1, image.shape[0], image.shape[1], image.shape[2]) )
    image = preprocess_input( image )
    predictions = m1.predict(img)
 footage_socket.close()

我正在检索以下错误

frame = cv2.resize( img, (224, 224) )
cv2.error: OpenCV(4.2.0) C:\projects\opencv-python\opencv\modules\imgproc\src\resize.cpp:4045: error: 
(-215:Assertion failed) !ssize.empty() in function 'cv::resize'

非常感谢您的帮助。谢谢

Answer 1

我通过将代码从 recv_string() 更改为 recv_pyobj() 以及从 send() 更改为 send_pyobj() 解决了这个问题，代码工作得很好。谢谢

在函数 'cv::resize' 中检索 opencv 错误（-215：断言失败）!ssize.empty()

Retrieving opencv error (-215:Assertion failed) !ssize.empty() in function 'cv::resize'

python

opencv

python-3.x

opencv3.0

tensorflow