Issue
When I read in a multi page Tiff Image which is 15 pages and is a document in black letters/words in white background ,PyTesseract throws an "OSError: -9" error at the step where I loop over the pages and convert to string.
I use the pytesseract package along with pyocr.builders. The single page seem to work fine but I believe the error when the image is not in RGB the program converts to RGB.
img = Image.open(r'\users\ai\text.tiff')
img.load()
txt = ""
for frame in range(0, img.n_frames):
img.seek(frame)
txt += tool.image_to_string(img,builder=pyocr.builders.TextBuilder())
Expected output is all 15 pages shown in jupyter window.
Error Message
---------------------------------------------------------------------------
OSError Traceback (most recent call last)
<ipython-input-17-e59bdf3b773c> in <module>
2 for frame in range(0, img.n_frames):
3 img.seek(frame)
----> 4 txt += tool.image_to_string(img,builder=pyocr.builders.TextBuilder())
5
~\AppData\Local\Continuum\anaconda3\lib\site-packages\pyocr\tesseract.py in image_to_string(image, lang, builder)
357 with tempfile.TemporaryDirectory() as tmpdir:
358 if image.mode != "RGB":
--> 359 image = image.convert("RGB")
360 image.save(os.path.join(tmpdir, "input.bmp"))
361 (status, errors) = run_tesseract("input.bmp", "output", cwd=tmpdir,
~\AppData\Local\Continuum\anaconda3\lib\site-packages\PIL\Image.py in convert(self, mode, matrix, dither, palette, colors)
932 """
933
--> 934 self.load()
935
936 if not mode and self.mode == "P":
~\AppData\Local\Continuum\anaconda3\lib\site-packages\PIL\TiffImagePlugin.py in load(self)
1097 def load(self):
1098 if self.use_load_libtiff:
-> 1099 return self._load_libtiff()
1100 return super(TiffImageFile, self).load()
1101
~\AppData\Local\Continuum\anaconda3\lib\site-packages\PIL\TiffImagePlugin.py in _load_libtiff(self)
1189
1190 if err < 0:
-> 1191 raise IOError(err)
1192
1193 return Image.Image.load(self)
OSError: -9
Solution
For a question like this, you should supply a Minimum Reproducible Example as there is some code left out. Also, you should provide your test image. For this example, though, you cannot attach a multi-page TIFF, so a link to one would be good.
I was able to find this test image from this question. It's a 10 page TIFF.
Here's a solution using pyocr:
from PIL import Image
import pytesseract
import pyocr
import pyocr.builders
tools = pyocr.get_available_tools()
tool = tools[0]
# pytesseract.pytesseract.tesseract_cmd = 'C:\\Program Files (x86)\\Tesseract-OCR\\tesseract.exe'
image = Image.open('multipage_tiff_example.tif')
# set Page Segmentation Mode to 6
# (i.e. assume a single uniform block of text)
config = ("--psm 6")
txt = ''
for frame in range(image.n_frames):
image.seek(frame)
txt = tool.image_to_string(image, builder=pyocr.builders.TextBuilder())
print(txt)
And here's a solution using pytesseract:
from PIL import Image
import pytesseract
# pytesseract.pytesseract.tesseract_cmd = 'C:\\Program Files (x86)\\Tesseract-OCR\\tesseract.exe'
image = Image.open('multipage_tiff_example.tif')
# set Page Segmentation Mode to 6
# (i.e. assume a single uniform block of text)
config = ("--psm 6")
txt = ''
for frame in range(image.n_frames):
image.seek(frame)
txt += pytesseract.image_to_string(image, config = config, lang='eng') + '\n'
print(txt)
both give this output:
Multipage
TIFF
Example
Page 1
Multipage
TIFF
Example
Page 2
Multipage
TIFF
Example
Page 3
Multipage
TIFF
Example
Page 4
Multipage
TIFF
Example
Page5
Multipage
TIFF
Example
Page 6
Multipage
TIFF
Example
Page /
Multipage
TIFF
Example
Page 8
Multipage
TIFF
Example
Page 9
Multipage
TIFF
Example
Page 10
Answered By - bfris
0 comments:
Post a Comment
Note: Only a member of this blog may post a comment.