PIL-TypeError:src不是numpy数组，也不是标量 [英] PIL - TypeError: src is not a numpy array, neither a scalar

问题描述

from PIL import Image
import pytesseract
import argparse
import cv2
import os

image  = Image.open("C:/Users/NB/Desktop/Scan/Arti818.jpg")

#image = "C:/Users/NB/Desktop/Scan/Arti818.jpg"
gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)

# check to see if we should apply thresholding to preprocess the
# image

gray = cv2.threshold(gray, 0, 255,  cv2.THRESH_BINARY | cv2.THRESH_OTSU)[1]

# make a check to see if median blurring should be done to remove
# noise

# write the grayscale image to disk as a temporary file so we can
# apply OCR to it
filename = "{}.png".format(os.getpid())
cv2.imwrite(filename, gray)
# load the image as a PIL/Pillow image, apply OCR, and then delete
# the temporary file
text = pytesseract.image_to_string(Image.open(filename))
os.remove(filename)
print(text)

# show the output images
cv2.imshow("Image", image)
cv2.imshow("Output", gray)
cv2.waitKey(0)

这是我的代码，出现以下错误:

This is my code and I am getting following error:

gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
TypeError: src is not a numpy array, neither a scalar

推荐答案

阅读文档.它清楚地说:

PIL.Image.open(fp, mode='r')

打开并标识给定的图像文件.
返回:一个Image对象.

PIL.Image.open(fp, mode='r')

Opens and identifies the given image file.
Returns: An Image object.

返回的对象属于Image类型，而不是numpy.ndarray.如果需要数组，请将image转换为一个:

The object returned is of Image type, not a numpy.ndarray. If you want an array, convert image to one:

gray = cv2.cvtColor(np.asarray(image), cv2.COLOR_BGR2GRAY)

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