错误代码:OpenCV(4.0.0)C:\项目\opencv-python\opencv\模块\图像处理\源代码\颜色. cpp:181:错误:(-215:Assert失败)!_src. empty()在函数"cv::cvtColor"中
参考代码:
http://blog.tramvm.com/2017/05/recognize-text-from-image-with-python.html
这是python代码用于从图像中提取文本
当我试图运行代码时,我得到了上述错误
代码:
import cv2
import numpy as np
import pytesseract
from PIL import Image
# Path of working folder on Disk
src_path = "C:\\Users\\preetha\\PycharmProjects\\OCR"
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 + "1.png"))
print ("------ Done -------")
我也尝试将路径目录更改为"/"或"",但仍然没有任何结果...请提供任何解决方案?
2条答案
按热度按时间68bkxrlz1#
请检查:
1.如果提供的路径中存在映像
1.如果通过打印正确加载了图像
尝试打印
img_path
我想
src_path = "C:\\Users\\preetha\\PycharmProjects\\OCR\\"
frebpwbc2#
还是用
而不是使用
如果路径包含非ASCII字符,则无法加载图像(例如,如果路径中包含
toña
,则会出现215错误)。