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	🐛 typo: comment{,s}, fix #8
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					 2 changed files with 8 additions and 4 deletions
				
			
		|  | @ -57,7 +57,7 @@ class SbbBinarizeProcessor(Processor): | |||
| 
 | ||||
|         oplevel = self.parameter['operation_level'] | ||||
|         model_path = self.parameter['model'] # pylint: disable=attribute-defined-outside-init | ||||
|         binarizer = SbbBinarizer(model_dir=model_path) | ||||
|         binarizer = SbbBinarizer(model_dir=model_path, logger=LOG) | ||||
| 
 | ||||
|         for n, input_file in enumerate(self.input_files): | ||||
|             file_id = make_file_id(input_file, self.output_file_grp) | ||||
|  | @ -77,7 +77,7 @@ class SbbBinarizeProcessor(Processor): | |||
|                         file_id + '.IMG-BIN', | ||||
|                         page_id=input_file.pageId, | ||||
|                         file_grp=self.output_file_grp) | ||||
|                 page.add_AlternativeImage(AlternativeImageType(filename=bin_image_path, comment='%s,binarized' % page_xywh['features'])) | ||||
|                 page.add_AlternativeImage(AlternativeImageType(filename=bin_image_path, comments='%s,binarized' % page_xywh['features'])) | ||||
| 
 | ||||
|             elif oplevel == 'region': | ||||
|                 regions = page.get_AllRegions(['Text', 'Table'], depth=1) | ||||
|  |  | |||
|  | @ -17,13 +17,16 @@ from keras.models import load_model | |||
| sys.stderr = stderr | ||||
| import tensorflow as tf | ||||
| 
 | ||||
| import logging | ||||
| 
 | ||||
| def resize_image(img_in, input_height, input_width): | ||||
|     return cv2.resize(img_in, (input_width, input_height), interpolation=cv2.INTER_NEAREST) | ||||
| 
 | ||||
| class SbbBinarizer: | ||||
| 
 | ||||
|     def __init__(self, model_dir): | ||||
|     def __init__(self, model_dir, logger=None): | ||||
|         self.model_dir = model_dir | ||||
|         self.log = logger if logger else logging.getLogger('SbbBinarizer') | ||||
| 
 | ||||
|     def start_new_session(self): | ||||
|         config = tf.ConfigProto() | ||||
|  | @ -193,7 +196,8 @@ class SbbBinarizer: | |||
|         self.start_new_session() | ||||
|         list_of_model_files = listdir(self.model_dir) | ||||
|         img_last = 0 | ||||
|         for model_in in list_of_model_files: | ||||
|         for n, model_in in enumerate(list_of_model_files): | ||||
|             self.log.info('Predicting with model %s [%s/%s]' % (model_in, n + 1, len(list_of_model_files))) | ||||
| 
 | ||||
|             res = self.predict(model_in, image, use_patches) | ||||
| 
 | ||||
|  |  | |||
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