问如何查找图像补丁/窗口之间的相似度

EN

# Read grayscale image from file.
    Im = Image.open("cameraman.png") 
#Resize it to desired shape (h,w)
    Im = Im.resize((100,100))
# expand dimensions to get the shape [ no of batches, height, width, channel]
    Im = np.expand_dims(Im,axis=0)
    Im = np.expand_dims(Im,axis=0)
    x = tf.convert_to_tensor(Im)
    x=tf.reshape(x,[1,100,100,1])  # this is the required image shape in a tensor

# Break one image into windows of 11x11 (overlapping)

    wsize=11
    ws=50  # Index of centre window (this window is reference window)

#Extract windows of 11 x 11 around each pixel
    p1=tf.extract_image_patches(x,sizes=[1,wsize,wsize,1],strides=[1,1,1,1],rates=[1,1,1,1],padding="SAME")

    patches_shape = tf.shape(p1)
    test=tf.reshape(p1, [tf.reduce_prod(patches_shape[0:3]), 11, 11, ])  # returns [#window_patches, h, w, c] 

    print(test.shape)  #test has shape [ 10000, 11,11]
    ref=test[5000,]    # this is the reference window of shape [ 1, 11,11]
    ref=tf.reshape(ref,[1,11,11])
    print(im1.shape)

The following statement says size mismatch:
    ssim1 = tf.image.ssim(ref, test, max_val=255, filter_size=11,filter_sigma=1.5, k1=0.01, k2=0.03) 

**ValueError: Shapes (1, 11, 11) and (10000, 11, 11) are incompatible.**