Thanks, i'm still trying to figure it out. It seems when the PIL image is
saved, unfortunately it saves a temp file to disk. My goal is to not write
to disk, because this application will read a lot of files and I want to
spare my SSD. My code receives byte data from a Dart program (I checked it
is correct). So far the py file looks like this but i'm not getting
anything in return.
def main():
base64_image = sys.stdin.read()
image_bytes = base64.b64decode(base64_image)
with io.BytesIO(image_bytes) as input:
pil_image = Image.open(input)
with io.BytesIO() as output:
pil_image.save(output, format='PNG', compress=0,
compress_level=0) # using disk!
output.seek(0)
env = os.environ.copy()
env['OMP_THREAD_LIMIT'] = '1'
p = subprocess.Popen([tesseractPath, '-', '-','-l','por'],
stdin=subprocess.PIPE,
stdout=subprocess.PIPE,
stderr=subprocess.PIPE,
env=env)
output, stderr = p.communicate(output.read())
stderr = stderr.decode('utf-8')
if stderr:
logger.warning('tesseract_baselines stderr: %s', stderr)
else:
sys.stdout(output.encode('utf-8').strip())
if __name__ == '__main__':
main()
On Tuesday, February 14, 2023 at 4:11:13 PM UTC-3 Merlijn Wajer wrote:
>
> Hi,
>
> On 14/02/2023 19:10, Flávio. wrote:
> > Sorry, how can I do that? I'm trying to send image binary data, not a
> > path. The goal is to not write a file to disk and use only memory. Could
> > you please write a code that sends the data (binary) to the stdin of
> > tesseract? it can be in Python, Dart or Java :( I've tried ChatGPT but
> > it is wrong and gets lost
>
> Normally I'd say 'left as an exercises to the reader' but I so happen to
> have a snippet around that ought to give you a general idea.
>
> This uses io.BytesIO in Python 3 to save the image (stream) to, it
> contains an uncompressed PNG (compression will just slow things down).
> It assumes that the variable "pil_image" contains a PIL.Image object.
>
> The code to use just one core in Tesseract is of course entirely
> optional. I didn't *test* this to work (I modified it a bit - it works
> in another setting), but it should work in theory:
>
> > with io.BytesIO() as output:
> > pil_image.save(output, format='PNG', compress=0, compress_level=0)
> > output.seek(0)
> >
> > # Let's just use one core in tesseract
> > env = os.environ.copy()
> > env['OMP_THREAD_LIMIT'] = '1'
> >
> > p = subprocess.Popen(['tesseract', '-', '-'],
> > stdin=subprocess.PIPE,
> > stdout=subprocess.PIPE,
> > stderr=subprocess.PIPE,
> > env=env)
> > output, stderr = p.communicate(output.read())
> > stderr = stderr.decode('utf-8')
> >
> > if stderr:
> > logger.warning('tesseract_baselines stderr: %s', stderr)
>
>
> Regards,
> Merlijn
>
--
You received this message because you are subscribed to the Google Groups
"tesseract-ocr" group.
To unsubscribe from this group and stop receiving emails from it, send an email
to [email protected].
To view this discussion on the web visit
https://groups.google.com/d/msgid/tesseract-ocr/ebd9d42d-244c-4a6b-8ab8-c1efd87db501n%40googlegroups.com.
