def image_file_to_string(filename,
cleanup=cleanup_scratch_flag,
graceful_errors=True):
"""Applies tesseract to filename; or, if image is incompatible and graceful_errors=True,
converts to compatible format and then applies tesseract. Fetches resulting text.
If cleanup=True, delete scratch files after operation."""
print "image_file_to_string", filename
try:
try:
if "micr" in filename:
print "image_file_to_string micr"
call_tesseract_micr(filename, scratch_text_name_root)
else:
print "else of image_file_to_string micr"
call_tesseract(filename, scratch_text_name_root)
text = util.retrieve_text(scratch_text_name_root)
except errors.Tesser_General_Exception:
print "in except of image_file_to_string", errors
if graceful_errors:
im = Image.open(filename)
text = image_to_string(im, cleanup)
else:
raise
except Exception as e:
print "errors", e
finally:
if cleanup:
util.perform_cleanup(scratch_image_name, scratch_text_name_root)
return text
def image_to_string(im, currentDir='', cleanup=cleanup_scratch_flag):
"""Converts im to file, applies tesseract, and fetches resulting text.
If cleanup=True, delete scratch files after operation."""
'''
try:
util.image_to_scratch(im, scratch_image_name)
call_tesseract(scratch_image_name, scratch_text_name_root)
text = util.retrieve_text(scratch_text_name_root)
finally:
if cleanup:
util.perform_cleanup(scratch_image_name, scratch_text_name_root)
return text
'''
try:
# Generate a unique random scratch_image_name and scratch_text_name_root
import random
scratch_text_name_root = str(random.randint(
0, 1000000000)) + '_delete_this'
scratch_image_name = scratch_text_name_root + ".bmp"
# Run the test of the code to make guess
util.image_to_scratch(im, scratch_image_name)
call_tesseract(scratch_image_name, scratch_text_name_root, currentDir)
text = util.retrieve_text(scratch_text_name_root)
finally:
if cleanup:
util.perform_cleanup(scratch_image_name, scratch_text_name_root)
return text
def image_to_string(im, currentDir = '', cleanup = cleanup_scratch_flag): """Converts im to file, applies tesseract, and fetches resulting text. If cleanup=True, delete scratch files after operation.""" ''' try: util.image_to_scratch(im, scratch_image_name) call_tesseract(scratch_image_name, scratch_text_name_root) text = util.retrieve_text(scratch_text_name_root) finally: if cleanup: util.perform_cleanup(scratch_image_name, scratch_text_name_root) return text ''' try: # Generate a unique random scratch_image_name and scratch_text_name_root import random scratch_text_name_root = str(random.randint(0, 1000000000)) + '_delete_this' scratch_image_name = scratch_text_name_root + ".bmp" # Run the test of the code to make guess util.image_to_scratch(im, scratch_image_name) call_tesseract(scratch_image_name, scratch_text_name_root, currentDir) text = util.retrieve_text(scratch_text_name_root) finally: if cleanup: util.perform_cleanup(scratch_image_name, scratch_text_name_root) return text
def image_to_string(im, cleanup = cleanup_scratch_flag):
try:
util.image_to_scratch(im, scratch_image_name)
call_tesseract(clear_image_name, scratch_text_name_root)
text = util.retrieve_text(scratch_text_name_root)
finally:
if cleanup:
util.perform_cleanup(scratch_image_name, scratch_text_name_root)
return text
def image_to_string(im, cleanup=cleanup_scratch_flag):
try:
util.image_to_scratch(im, scratch_image_name)
call_tesseract(scratch_image_name, scratch_text_name_root)
text = util.retrieve_text(scratch_text_name_root)
finally:
if cleanup:
util.perform_cleanup(scratch_image_name, scratch_text_name_root)
return text
def image_to_string(im, cleanup = cleanup_scratch_flag):
"""Converts im to file, applies tesseract, and fetches resulting text.
If cleanup=True, delete scratch files after operation."""
try:
util.image_to_scratch(im, scratch_image_name)
call_tesseract(scratch_image_name, scratch_text_name_root)
text = util.retrieve_text(scratch_text_name_root)
except Exception, e:
util.log(e)
def image_to_string(im, cleanup = cleanup_scratch_flag): """Converts im to file, applies tesseract, and fetches resulting text. If cleanup=True, delete scratch files after operation.""" try: util.image_to_scratch(im, scratch_image_name) call_tesseract(scratch_image_name, scratch_text_name_root) text = util.retrieve_text(scratch_text_name_root) finally: if cleanup: util.perform_cleanup(scratch_image_name, scratch_text_name_root) return text
def image_to_string(im, cleanup=cleanup_scratch_flag):
"""Converts im to file, applies tesseract, and fetches resulting text.
If cleanup=True, delete scratch files after operation."""
try:
util.image_to_scratch(im, scratch_image_name)
call_tesseract(scratch_image_name, scratch_text_name_root)
text = util.retrieve_text(scratch_text_name_root)
finally:
if cleanup:
util.perform_cleanup(scratch_image_name, scratch_text_name_root)
return text
def image_to_string(im, cleanup = cleanup_scratch_flag, learn_file='eng'):
"""Converts im to file, applies tesseract, and fetches resulting text.
If cleanup=True, delete scratch files after operation."""
scratch_text_name_root = "/tmp/%s_temp" % hashlib.md5(im.tostring()).hexdigest()
scratch_image_name = scratch_text_name_root + ".bmp"
try:
util.image_to_scratch(im, scratch_image_name)
call_tesseract(scratch_image_name, scratch_text_name_root, learn_file)
text = util.retrieve_text(scratch_text_name_root)
finally:
if cleanup:
util.perform_cleanup(scratch_image_name, scratch_text_name_root)
return text
def image_file_to_string(filename, cleanup = cleanup_scratch_flag, graceful_errors=True): """Applies tesseract to filename; or, if image is incompatible and graceful_errors=True, converts to compatible format and then applies tesseract. Fetches resulting text. If cleanup=True, delete scratch files after operation.""" try: try: call_tesseract(filename, scratch_text_name_root) text = util.retrieve_text(scratch_text_name_root) except errors.Tesser_General_Exception: if graceful_errors: im = Image.open(filename) text = image_to_string(im, cleanup) else: raise finally: if cleanup: util.perform_cleanup(scratch_image_name, scratch_text_name_root) return text
def image_file_to_string(filename, cleanup=cleanup_scratch_flag, graceful_errors=True, language="eng"):
"""Applies tesseract to filename; or, if image is incompatible and graceful_errors=True,
converts to compatible format and then applies tesseract. Fetches resulting text.
If cleanup=True, delete scratch files after operation."""
try:
try:
call_tesseract( filename, scratch_text_name_root, language )
text = util.retrieve_text( scratch_text_name_root )
except errors.Tesser_General_Exception:
if graceful_errors:
im = Image.open( filename )
text = image_to_string( im, cleanup )
else:
raise
finally:
if cleanup:
util.perform_cleanup( scratch_image_name, scratch_text_name_root )
return text
def image_file_to_string(filename, cleanup = cleanup_scratch_flag, graceful_errors=True):
"""Applies tesseract to filename; or, if image is incompatible and graceful_errors=True,
converts to compatible format and then applies tesseract. Fetches resulting text.
If cleanup=True, delete scratch files after operation."""
try:
try:
call_tesseract(filename, scratch_text_name_root)
text = util.retrieve_text(scratch_text_name_root)
except errors.Tesser_General_Exception:
if graceful_errors:
im = Image.open(filename)
text = image_to_string(im, cleanup)
else:
raise
finally:
if cleanup:
util.perform_cleanup(scratch_image_name, scratch_text_name_root)
return text
# if __name__=='__main__':
# text = image_file_to_string('/home/geoffrey/sandbox/risiti/media/receipts/2013/11/16/infemi-mission.png', graceful_errors=True)
# print "fnord.tif contents:", text