# initialize the list of images we'll be passing through the network
images = []

# loop over the input images (excluding the first one since we
# already classified it), pre-process each image, and update the
# `images` list
for p in imagePaths[1:]:
	image = cv2.imread(p)
	image = cv2.resize(image, (224, 224))
	images.append(image)

# convert the images list into an OpenCV-compatible blob
blob = cv2.dnn.blobFromImages(images, 1, (224, 224), (104, 117, 123))
print("Second Blob: {}".format(blob.shape))