小编Mae*_*ara的帖子

因为我使用过，cv2.namedWindow('Frame', cv2.WINDOW_NORMAL)所以我可以在运行时调整窗口大小，但我也想打印新的窗口大小。有谁能帮忙吗？

更新：这不是完整的代码，但它是这样的

cap = cv2.VideoCapture(0)
cv2.namedWindow('Frame', cv2.WINDOW_NORMAL)
while(True):
    # Capture frame-by-frame
    ret, frame = cap.read()

    cv2.imshow('Frame',frame)
    print(frame.shape) #prints image dimension
    if cv2.waitKey(1) & 0xFF == ord('q'):
        break

cap.release()
cv2.destroyAllWindows()

即使我调整了窗口大小，它仍然在打印 (480, 640, 3)

我遵循了本教程：https : //www.pyimagesearch.com/2017/09/11/object-detection-with-deep-learning-and-opencv/ 我改变了这部分，在插入之前将图像源转换为灰度到神经网络

frame = vs.read()
frame = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
frame = imutils.resize(frame, width=400)

(h, w) = frame.shape[:2]
blob = cv2.dnn.blobFromImage(cv2.resize(frame, (300, 300)),
    0.007843, (300, 300), 127.5)
net.setInput(blob)
detections = net.forward()

但是会出现这个错误：

OpenCV(3.4.1) Error: Assertion failed (ngroups > 0 && inpCn % ngroups == 0 && outCn % ngroups == 0) in cv::dnn::ConvolutionLayerImpl::getMemoryShapes, file D:\Build\OpenCV\opencv-3.4.1\modules\dnn\src\layers\convolution_layer.cpp, line 234
    Traceback (most recent call last):
      File "C:/Users/Toshiba/PycharmProjects/real-time-object-detection/study7ver2.py", line 75, in <module>
        detections = net.forward()
    cv2.error: OpenCV(3.4.1) D:\Build\OpenCV\opencv-3.4.1\modules\dnn\src\layers\convolution_layer.cpp:234: error: (-215) ngroups > …