OpenCV(3.4.2)：使用模板匹配方法的错误：(-215:断言失败)

Question

我使用规范化作为模板匹配的预处理方法。但是，当我运行代码时，遇到了一个错误。

/opt/concourse/worker/volumes/live/9523d527-1b9e-48e0-7ed0-a36adde286f0/volume/opencv-suite_1535558719691/work/modules/imgproc/src/templmatch.cpp:1102:错误：错误：错误: OpenCV(3.4.2) 错误：(-215:断言失败)(深度== 0=深度== 5) &函数'matchTemplate‘中的== _templ.type() & _img.dims() <= 2类型

这是我的预处理方法：

def Image_Preprocessing (image):
    Gray_image = cv2.cvtColor(image , cv2.COLOR_BGR2GRAY)  # converting the image to grayscale image
    resized_image = cv2.resize(Gray_image, (width, height))  # Resize the image 
    mean, stdDev = cv2.meanStdDev(resized_image)  #Get Mean and Standard-deviation
    Normalized_image = (resized_image-mean)/stdDev  #Normalize the image  
    # Scale the normalized values to integer range
    Normalized_image -= Normalized_image.min() 
    Normalized_image /= Normalized_image.max()
    Normalized_image *= 255 # [0, 255] range

    return  Normalized_image

我怎么能解决这个问题？

Answer 1

无论如何，您应该验证@HansHirse的答案，如果问题甚至是您的预处理，您可以尝试如下：

def Image_Preprocessing (image):
    Gray_image = cv2.cvtColor(image , cv2.COLOR_BGR2GRAY)  # converting the image to grayscale image
    resized_image = cv2.resize(Gray_image, (width, height))  # Resize the image
    Normalized_image = np.array(np.divide(resized_image, np.amax(resized_image)), dtype=np.float64) # Normalizes to float 0 - 1, ensure float
    # Scale the normalized values to integer range
    Normalized_image *= 255 # [0, 255] range
    Normalized_image = np.uint8(Normalized_image)

    return  Normalized_image

这将返回一个uint8图像，如果您的模板也是uint8，就不会出现问题。