Opencv 面临即使在安装后也找不到 tesseract 模块的错误
Opencv facing an error for tesseract module not found even after installations
Opencv 在安装后仍未找到 tesseract moule 的错误
pip install tesseract
opencv 重新安装也已完成,但无法正常工作。
opencv安装命令为
pip install opencv-python
pip intstall opencv-contrib-python
tesseract.exe 使用此 github 指南安装 -link
我仍然面临以下错误
error - tesseract module not found
from PIL.Image import ImageTransformHandler
import cv2
import numpy as np
import pytesseract
pytesseract.pytesseract.tesseract_cmd='C:\Program Files(x86)\Tesseract-OCR\tesseract.exe'
cascade= cv2.CascadeClassifier("haarcascade_russian_plate_number.xml")
states={"AN":"Andaman and Nicobar",
"AP":"Andhra Pradesh","AR":"Arunachal Pradesh",
"AS":"Assam","BR":"Bihar","CH":"Chandigarh",
"DN":"Dadra and Nagar Haveli","DD":"Daman and Diu",
"DL":"Delhi","GA":"Goa","GJ":"Gujarat",
"HR":"Haryana","HP":"Himachal Pradesh",
"JK":"Jammu and Kashmir","KA":"Karnataka","KL":"Kerala",
"LD":"Lakshadweep","MP":"Madhya Pradesh","MH":"Maharashtra","MN":"Manipur",
"ML":"Meghalaya","MZ":"Mizoram","NL":"Nagaland","OD":"Odissa",
"PY":"Pondicherry","PN":"Punjab","RJ":"Rajasthan","SK":"Sikkim","TN":"TamilNadu",
"TR":"Tripura","UP":"Uttar Pradesh", "WB":"West Bengal","CG":"Chhattisgarh",
"TS":"Telangana","JH":"Jharkhand","UK":"Uttarakhand"}
def extract_num(img_filename):
img=cv2.imread(img_filename)
#Img To Gray
gray=cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
nplate=cascade.detectMultiScale(gray,1.1,4)
#crop portion
for (x,y,w,h) in nplate:
wT,hT,cT=img.shape
a,b=(int(0.02*wT),int(0.02*hT))
plate=img[y+a:y+h-a,x+b:x+w-b,:]
#make the img more darker to identify LPR
kernel=np.ones((1,1),np.uint8)
plate=cv2.dilate(plate,kernel,iterations=1)
plate=cv2.erode(plate,kernel,iterations=1)
plate_gray=cv2.cvtColor(plate,cv2.COLOR_BGR2GRAY)
(thresh,plate)=cv2.threshold(plate_gray,127,255,cv2.THRESH_BINARY)
#read the text on the plate
read=pytesseract.image_to_string(plate)
read=''.join(e for e in read if e.isalnum())
stat=read[0:2]
cv2.rectangle(img,(x,y),(x+w,y+h),(51,51,255),2)
cv2.rectangle(img,(x-1,y-40),(x+w+1,y),(51,51,255),-1)
cv2.putText(img,read,(x,y-10),cv2.FONT_HERSHEY_SIMPLEX,0.9,(255,255,255),2)
cv2.imshow("plate",plate)
cv2.imwrite("Result.png",img)
cv2.imshow("Result",img)
cv2.waitKey(0)
cv2.destroyAllWindows()
extract_num('car_img.png')
修复此错误后,将文件路径 (C:\Program Files(x86)\Tesseract-OCR\tesseract.exe) 更改为 ->(C:\Program Files\Tesseract-OCR\tesseract.exe)
无论您在 windows programfiles 中的什么路径,都不要使用 Program Files(x86) 它不会工作
仍然显示或未安装您遇到的错误然后按 windows + R 键和 运行 您的文件路径 (C:\Program Files\Tesseract-OCR\tesseract.exe) 它会起作用对我来说,
上述错误已修复 - 未找到 tesseract 模块
希望对大家有所帮助。
from PIL.Image import ImageTransformHandler
import cv2
import numpy as np
import pytesseract
pytesseract.pytesseract.tesseract_cmd=r'C:\Program Files(x86)\Tesseract-OCR\tesseract.exe'
cascade= cv2.CascadeClassifier("haarcascade_russian_plate_number.xml")
states={"AN":"Andaman and Nicobar",
"AP":"Andhra Pradesh","AR":"Arunachal Pradesh",
"AS":"Assam","BR":"Bihar","CH":"Chandigarh",
"DN":"Dadra and Nagar Haveli","DD":"Daman and Diu",
"DL":"Delhi","GA":"Goa","GJ":"Gujarat",
"HR":"Haryana","HP":"Himachal Pradesh",
"JK":"Jammu and Kashmir","KA":"Karnataka","KL":"Kerala",
"LD":"Lakshadweep","MP":"Madhya Pradesh","MH":"Maharashtra","MN":"Manipur",
"ML":"Meghalaya","MZ":"Mizoram","NL":"Nagaland","OD":"Odissa",
"PY":"Pondicherry","PN":"Punjab","RJ":"Rajasthan","SK":"Sikkim","TN":"TamilNadu",
"TR":"Tripura","UP":"Uttar Pradesh", "WB":"West Bengal","CG":"Chhattisgarh",
"TS":"Telangana","JH":"Jharkhand","UK":"Uttarakhand"}
def extract_num(img_filename):
img=cv2.imread(img_filename)
#Img To Gray
gray=cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
nplate=cascade.detectMultiScale(gray,1.1,4)
#crop portion
for (x,y,w,h) in nplate:
wT,hT,cT=img.shape
a,b=(int(0.02*wT),int(0.02*hT))
plate=img[y+a:y+h-a,x+b:x+w-b,:]
#make the img more darker to identify LPR
kernel=np.ones((1,1),np.uint8)
plate=cv2.dilate(plate,kernel,iterations=1)
plate=cv2.erode(plate,kernel,iterations=1)
plate_gray=cv2.cvtColor(plate,cv2.COLOR_BGR2GRAY)
(thresh,plate)=cv2.threshold(plate_gray,127,255,cv2.THRESH_BINARY)
#read the text on the plate
read=pytesseract.image_to_string(plate)
read=''.join(e for e in read if e.isalnum())
stat=read[0:2]
cv2.rectangle(img,(x,y),(x+w,y+h),(51,51,255),2)
cv2.rectangle(img,(x-1,y-40),(x+w+1,y),(51,51,255),-1)
cv2.putText(img,read,(x,y-10),cv2.FONT_HERSHEY_SIMPLEX,0.9,(255,255,255),2)
cv2.imshow("plate",plate)
cv2.imwrite("Result.png",img)
cv2.imshow("Result",img)
cv2.waitKey(0)
cv2.destroyAllWindows()
extract_num('car_img.png')
Opencv 在安装后仍未找到 tesseract moule 的错误
pip install tesseract
opencv 重新安装也已完成,但无法正常工作。
opencv安装命令为
pip install opencv-python
pip intstall opencv-contrib-python
tesseract.exe 使用此 github 指南安装 -link
我仍然面临以下错误
error - tesseract module not found
from PIL.Image import ImageTransformHandler
import cv2
import numpy as np
import pytesseract
pytesseract.pytesseract.tesseract_cmd='C:\Program Files(x86)\Tesseract-OCR\tesseract.exe'
cascade= cv2.CascadeClassifier("haarcascade_russian_plate_number.xml")
states={"AN":"Andaman and Nicobar",
"AP":"Andhra Pradesh","AR":"Arunachal Pradesh",
"AS":"Assam","BR":"Bihar","CH":"Chandigarh",
"DN":"Dadra and Nagar Haveli","DD":"Daman and Diu",
"DL":"Delhi","GA":"Goa","GJ":"Gujarat",
"HR":"Haryana","HP":"Himachal Pradesh",
"JK":"Jammu and Kashmir","KA":"Karnataka","KL":"Kerala",
"LD":"Lakshadweep","MP":"Madhya Pradesh","MH":"Maharashtra","MN":"Manipur",
"ML":"Meghalaya","MZ":"Mizoram","NL":"Nagaland","OD":"Odissa",
"PY":"Pondicherry","PN":"Punjab","RJ":"Rajasthan","SK":"Sikkim","TN":"TamilNadu",
"TR":"Tripura","UP":"Uttar Pradesh", "WB":"West Bengal","CG":"Chhattisgarh",
"TS":"Telangana","JH":"Jharkhand","UK":"Uttarakhand"}
def extract_num(img_filename):
img=cv2.imread(img_filename)
#Img To Gray
gray=cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
nplate=cascade.detectMultiScale(gray,1.1,4)
#crop portion
for (x,y,w,h) in nplate:
wT,hT,cT=img.shape
a,b=(int(0.02*wT),int(0.02*hT))
plate=img[y+a:y+h-a,x+b:x+w-b,:]
#make the img more darker to identify LPR
kernel=np.ones((1,1),np.uint8)
plate=cv2.dilate(plate,kernel,iterations=1)
plate=cv2.erode(plate,kernel,iterations=1)
plate_gray=cv2.cvtColor(plate,cv2.COLOR_BGR2GRAY)
(thresh,plate)=cv2.threshold(plate_gray,127,255,cv2.THRESH_BINARY)
#read the text on the plate
read=pytesseract.image_to_string(plate)
read=''.join(e for e in read if e.isalnum())
stat=read[0:2]
cv2.rectangle(img,(x,y),(x+w,y+h),(51,51,255),2)
cv2.rectangle(img,(x-1,y-40),(x+w+1,y),(51,51,255),-1)
cv2.putText(img,read,(x,y-10),cv2.FONT_HERSHEY_SIMPLEX,0.9,(255,255,255),2)
cv2.imshow("plate",plate)
cv2.imwrite("Result.png",img)
cv2.imshow("Result",img)
cv2.waitKey(0)
cv2.destroyAllWindows()
extract_num('car_img.png')
修复此错误后,将文件路径 (C:\Program Files(x86)\Tesseract-OCR\tesseract.exe) 更改为 ->(C:\Program Files\Tesseract-OCR\tesseract.exe)
无论您在 windows programfiles 中的什么路径,都不要使用 Program Files(x86) 它不会工作
仍然显示或未安装您遇到的错误然后按 windows + R 键和 运行 您的文件路径 (C:\Program Files\Tesseract-OCR\tesseract.exe) 它会起作用对我来说,
上述错误已修复 - 未找到 tesseract 模块
希望对大家有所帮助。
from PIL.Image import ImageTransformHandler
import cv2
import numpy as np
import pytesseract
pytesseract.pytesseract.tesseract_cmd=r'C:\Program Files(x86)\Tesseract-OCR\tesseract.exe'
cascade= cv2.CascadeClassifier("haarcascade_russian_plate_number.xml")
states={"AN":"Andaman and Nicobar",
"AP":"Andhra Pradesh","AR":"Arunachal Pradesh",
"AS":"Assam","BR":"Bihar","CH":"Chandigarh",
"DN":"Dadra and Nagar Haveli","DD":"Daman and Diu",
"DL":"Delhi","GA":"Goa","GJ":"Gujarat",
"HR":"Haryana","HP":"Himachal Pradesh",
"JK":"Jammu and Kashmir","KA":"Karnataka","KL":"Kerala",
"LD":"Lakshadweep","MP":"Madhya Pradesh","MH":"Maharashtra","MN":"Manipur",
"ML":"Meghalaya","MZ":"Mizoram","NL":"Nagaland","OD":"Odissa",
"PY":"Pondicherry","PN":"Punjab","RJ":"Rajasthan","SK":"Sikkim","TN":"TamilNadu",
"TR":"Tripura","UP":"Uttar Pradesh", "WB":"West Bengal","CG":"Chhattisgarh",
"TS":"Telangana","JH":"Jharkhand","UK":"Uttarakhand"}
def extract_num(img_filename):
img=cv2.imread(img_filename)
#Img To Gray
gray=cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
nplate=cascade.detectMultiScale(gray,1.1,4)
#crop portion
for (x,y,w,h) in nplate:
wT,hT,cT=img.shape
a,b=(int(0.02*wT),int(0.02*hT))
plate=img[y+a:y+h-a,x+b:x+w-b,:]
#make the img more darker to identify LPR
kernel=np.ones((1,1),np.uint8)
plate=cv2.dilate(plate,kernel,iterations=1)
plate=cv2.erode(plate,kernel,iterations=1)
plate_gray=cv2.cvtColor(plate,cv2.COLOR_BGR2GRAY)
(thresh,plate)=cv2.threshold(plate_gray,127,255,cv2.THRESH_BINARY)
#read the text on the plate
read=pytesseract.image_to_string(plate)
read=''.join(e for e in read if e.isalnum())
stat=read[0:2]
cv2.rectangle(img,(x,y),(x+w,y+h),(51,51,255),2)
cv2.rectangle(img,(x-1,y-40),(x+w+1,y),(51,51,255),-1)
cv2.putText(img,read,(x,y-10),cv2.FONT_HERSHEY_SIMPLEX,0.9,(255,255,255),2)
cv2.imshow("plate",plate)
cv2.imwrite("Result.png",img)
cv2.imshow("Result",img)
cv2.waitKey(0)
cv2.destroyAllWindows()
extract_num('car_img.png')