'Opencv facing an error for tesseract module not found even after installations
Opencv facing an error for tesseract moule not found even after installations
pip install tesseract
opencv reinstallation also done but it wont work.
opencv installation commands are
pip install opencv-python
pip intstall opencv-contrib-python
tesseract.exe installtion using this github guidance -link
Still iam facing this below error
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')
Solution 1:[1]
After fixing this error working fine changing file path (C:\Program Files(x86)\Tesseract-OCR\tesseract.exe) to ->(C:\Program Files\Tesseract-OCR\tesseract.exe)
Whatever your path in windows programfiles, do not use a Program Files(x86) it wont work
Still showing or not installing error you are facing then press windows + R keys and run your file path (C:\Program Files\Tesseract-OCR\tesseract.exe) it wil work for me,
This mentioned error had fixed - tesseract module not found
Hope it will help some one.
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')
Sources
This article follows the attribution requirements of Stack Overflow and is licensed under CC BY-SA 3.0.
Source: Stack Overflow
| Solution | Source |
|---|---|
| Solution 1 | Rabiyulfahim |