def image_file_to_string(filename, lang=_language, psm=_pagesegmode, 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. Parameter lang specifies used language. If lang is empty, English is used. Page segmentation mode parameter psm is available in Tesseract 3.01. psm values are: 0 = Orientation and script detection (OSD) only. 1 = Automatic page segmentation with OSD. 2 = Automatic page segmentation, but no OSD, or OCR 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.""" try: try: call_tesseract(filename, scratch_text_name_root, lang, psm) result = util.retrieve_result(scratch_text_name_root) except errors.Tesser_General_Exception: if graceful_errors: im = Image.open(filename) result = image_to_string(im, cleanup) else: raise finally: if cleanup: util.perform_cleanup(scratch_image_name, scratch_text_name_root) return result
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_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_file_to_string(filename, lang = _language, psm = _pagesegmode, 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. Parameter lang specifies used language. If lang is empty, English is used. Page segmentation mode parameter psm is available in Tesseract 3.01. psm values are: 0 = Orientation and script detection (OSD) only. 1 = Automatic page segmentation with OSD. 2 = Automatic page segmentation, but no OSD, or OCR 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.""" try: try: call_tesseract(filename, scratch_text_name_root, lang, psm) result = util.retrieve_result(scratch_text_name_root) except errors.Tesser_General_Exception: if graceful_errors: im = Image.open(filename) result = image_to_string(im, cleanup) else: raise finally: if cleanup: util.perform_cleanup(scratch_image_name, scratch_text_name_root) return result
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) 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
retcode = proc.wait() if retcode!=0: errors.check_for_errors() 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) 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: