[英]cv2.error: OpenCV(4.5.2) .error: (-215:Assertion failed) !_src.empty() in function 'cv::cvtColor'
[英]cv2.error:(-215:Assertion failed) !_src.empty() in function 'cv::cvtColor'
cv2.error: OpenCV(4.0.0) C:\projects\opencv-python\opencv\modules\imgproc\src\color.cpp:181: error: (-215:Assertion failed) !_src.empty() in function 'cv::cvtColor'
參考代碼:
http://blog.tramvm.com/2017/05/recognize-text-from-image-with-python.html
這是從圖像中提取文本的python代碼
當我嘗試運行代碼時,出現上述錯誤
代碼:
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 -------")
我還嘗試將路徑目錄更改為“/”或“\”仍然沒有得到任何結果......請問有什么解決方案嗎?
嘗試打印img_path
我想src_path = "C:\\Users\\preetha\\PycharmProjects\\OCR\\"
最好用
os.path.join(src_path , "1.jpg")
比使用
src_path+"1.jpg"
如果路徑包含非 ASCII 字符,則無法加載圖像(例如,如果路徑中有toña
,則會收到 215 錯誤)。
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