(-215:断言失败)函数'cv :: cvtColor'中的！_src.empty() [英] (-215:Assertion failed) !_src.empty() in function 'cv::cvtColor'

问题描述

我正在尝试从图像中识别文本，然后输出文本； 但是，出现此错误:

I am trying to recognize text from an image to then have the text outputted; however, this error spits out:

回溯(最近通话最近): 文件"C:/Users/Benji's Beast/AppData/Local/Programs/Python/Python37-32/imageDet.py"，第41行，在 打印(get_string(src_path +"cont.jpg")) 文件"C:/Users/Benji's Beast/AppData/Local/Programs/Python/Python37-32/imageDet.py"，第15行，位于get_string中 img = cv2.cvtColor(img，cv2.COLOR_BGR2GRAY) cv2.error:OpenCV(3.4.4)C:\ projects \ opencv-python \ opencv \ modules \ imgproc \ src \ color.cpp:181:error:(-215:Assertion failed)！_src.empty()在函数中'cv :: cvtColor'

Traceback (most recent call last): File "C:/Users/Benji's Beast/AppData/Local/Programs/Python/Python37-32/imageDet.py", line 41, in print(get_string(src_path + "cont.jpg") ) File "C:/Users/Benji's Beast/AppData/Local/Programs/Python/Python37-32/imageDet.py", line 15, in get_string img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) cv2.error: OpenCV(3.4.4) C:\projects\opencv-python\opencv\modules\imgproc\src\color.cpp:181: error: (-215:Assertion failed) !_src.empty() in function 'cv::cvtColor'

图像分辨率为1371x51. 我尝试将src_path上的"/"更改为"\"，但这没有用. 有什么想法吗?

The image resolution is 1371x51. I have tried changing the "/" on src_path to "\" but that didn't work. Any ideas?

这是我的代码:

import cv2
import numpy as np
import pytesseract
from PIL import Image
from pytesseract import image_to_string

# Path of working folder on Disk
src_path = "C:/Users/Benji's Beast/Desktop/image.PNG"

def get_string(img_path):
    # Read image with opencv
    img = cv2.imread(img_path)

    # Convert to gray
    img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)

    # Apply dilation and erosion to remove some noise
    kernel = np.ones((1, 1), np.uint8)
    img = cv2.dilate(img, kernel, iterations=1)
    img = cv2.erode(img, kernel, iterations=1)

    # Write image after removed noise
    cv2.imwrite(src_path + "removed_noise.png", img)

    #  Apply threshold to get image with only black and white
    #img = cv2.adaptiveThreshold(img, 255, cv2.ADAPTIVE_THRESH_GAUSSIAN_C, cv2.THRESH_BINARY, 31, 2)

    # Write the image after apply opencv to do some ...
    cv2.imwrite(src_path + "thres.png", img)

    # Recognize text with tesseract for python
    result = pytesseract.image_to_string(Image.open(src_path + "thres.png"))

    # Remove template file
    #os.remove(temp)

    return result


print('--- Start recognize text from image ---')
print(get_string(src_path + "cont.jpg") )

print("------ Done -------")

我不知道如何解决这个问题， 谢谢.

I have no idea how to fix this, thanks.

推荐答案

这意味着您要将未初始化的变量传递给

This means you are passing a Uninitialized variable to

> cv2.cvtColor()

在此声明之后:

# Read image with opencv
img = cv2.imread(img_path)

在传递给cv2.cvtColor()函数之前，您是否可以尝试打印img变量

Can you try to print the img variable before passing to cv2.cvtColor() function

> print(img) or print(img.shape)

确保读取图像的函数调用成功

to make sure function call to read the image is successful

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