Even though it's 3 years later now, the disabling is possible with the -c
flag.
pytesseract.image_to_string(roi, lang='eng', *config='*--psm 3 --oem 3* -c
load_system_dawg=false -c load_freq_dawg=false -c 0tessedit_char_whitelist=*
0123456789r°:-abcdefghijklmnopqstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ*'*)
>From the tesseract.exe
-c VAR=VALUE Set value for config variables.
Multiple -c arguments are allowed.
--psm NUM Specify page segmentation mode.
--oem NUM Specify OCR Engine mode.
NOTE: These options must occur before any configfile.
Page segmentation modes:
0 Orientation and script detection (OSD) only.
1 Automatic page segmentation with OSD.
2 Automatic page segmentation, but no OSD, or OCR. (not implemented)
3 Fully automatic page segmentation, but no OSD. (Default)
4 Assume a single column of text of variable sizes.
5 Assume a single uniform block of vertically aligned text.
6 Assume a single uniform block of text.
7 Treat the image as a single text line.
8 Treat the image as a single word.
9 Treat the image as a single word in a circle.
10 Treat the image as a single character.
11 Sparse text. Find as much text as possible in no particular order.
12 Sparse text with OSD.
13 Raw line. Treat the image as a single text line,
bypassing hacks that are Tesseract-specific.
OCR Engine modes:
0 Legacy engine only.
1 Neural nets LSTM engine only.
2 Legacy + LSTM engines.
3 Default, based on what is available.
[email protected] schrieb am Mittwoch, 8. Januar 2020 um 13:12:49 UTC+1:
> I have the same problem. Any Idea? Creating a new file with these
> parameters with False values and passing it (and absolute path) to
> pytesseract functions doesn't work!!!
>
>
> El viernes, 11 de octubre de 2019, 10:32:12 (UTC+2), Sandra M. escribió:
>>
>> I'm trying to deactivate the tesseract dictionary, but I don't get it.
>> I'm using tesseract 5.0.0 and use the Python code below. I read about the
>> parameters load_system_dawg and load_freq_dawg to change them in the
>> config, but I don't know how to do this exactly. Can someone give me more
>> details how to do this?
>>
>>
>> import pytesseract
>> import argparse
>> import cv2
>> import os
>>
>> # construct the argument parse and parse the arguments
>> ap = argparse.ArgumentParser()
>> ap.add_argument("-i", "--image", required=True,
>> help="path to input image to be OCR'd")
>> args = vars(ap.parse_args())
>>
>> # load the example image and convert it to grayscale
>> image = cv2.imread(args["image"])
>> gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
>>
>> # write the grayscale image to disk as a temporary file so we can
>> # apply OCR to it
>> filename = "{}.png".format(os.getpid())
>> cv2.imwrite(filename, gray)
>>
>> # load the image as a PIL/Pillow image, apply OCR, and then delete
>> # the temporary file
>> text = pytesseract.image_to_string(gray, lang='eng', config='--psm 6')
>> print("Output: " + text)
>>
>>
>>
>>
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