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simplify dir_in conditionals
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parent
7ae64f3717
commit
3b9a29bc5c
1 changed files with 24 additions and 54 deletions
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@ -274,7 +274,8 @@ class Eynollah:
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self.models = {}
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if dir_in and light_version:
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if dir_in:
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# as in start_new_session:
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config = tf.compat.v1.ConfigProto()
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config.gpu_options.allow_growth = True
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session = tf.compat.v1.Session(config=config)
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@ -283,12 +284,21 @@ class Eynollah:
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self.model_page = self.our_load_model(self.model_page_dir)
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self.model_classifier = self.our_load_model(self.model_dir_of_col_classifier)
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self.model_bin = self.our_load_model(self.model_dir_of_binarization)
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if self.extract_only_images:
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self.model_region = self.our_load_model(self.model_region_dir_p_ens_light_only_images_extraction)
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else:
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self.model_textline = self.our_load_model(self.model_textline_dir)
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if self.light_version:
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self.model_region = self.our_load_model(self.model_region_dir_p_ens_light)
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self.model_region_1_2 = self.our_load_model(self.model_region_dir_p_1_2_sp_np)
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else:
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self.model_region = self.our_load_model(self.model_region_dir_p_ens)
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self.model_region_p2 = self.our_load_model(self.model_region_dir_p2)
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self.model_enhancement = self.our_load_model(self.model_dir_of_enhancement)
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###self.model_region_fl_new = self.our_load_model(self.model_region_dir_fully_new)
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self.model_region_fl_np = self.our_load_model(self.model_region_dir_fully_np)
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self.model_region_fl = self.our_load_model(self.model_region_dir_fully)
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if self.reading_order_machine_based:
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self.model_reading_order = self.our_load_model(self.model_reading_order_dir)
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if self.ocr:
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self.model_ocr = VisionEncoderDecoderModel.from_pretrained(self.model_ocr_dir)
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@ -297,48 +307,8 @@ class Eynollah:
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if self.tables:
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self.model_table = self.our_load_model(self.model_table_dir)
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self.ls_imgs = os.listdir(self.dir_in)
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if dir_in and self.extract_only_images:
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config = tf.compat.v1.ConfigProto()
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config.gpu_options.allow_growth = True
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session = tf.compat.v1.Session(config=config)
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set_session(session)
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self.model_page = self.our_load_model(self.model_page_dir)
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self.model_classifier = self.our_load_model(self.model_dir_of_col_classifier)
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self.model_bin = self.our_load_model(self.model_dir_of_binarization)
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#self.model_textline = self.our_load_model(self.model_textline_dir)
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self.model_region = self.our_load_model(self.model_region_dir_p_ens_light_only_images_extraction)
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#self.model_region_fl_np = self.our_load_model(self.model_region_dir_fully_np)
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#self.model_region_fl = self.our_load_model(self.model_region_dir_fully)
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self.ls_imgs = os.listdir(self.dir_in)
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if dir_in and not (light_version or self.extract_only_images):
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config = tf.compat.v1.ConfigProto()
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config.gpu_options.allow_growth = True
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session = tf.compat.v1.Session(config=config)
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set_session(session)
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self.model_page = self.our_load_model(self.model_page_dir)
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self.model_classifier = self.our_load_model(self.model_dir_of_col_classifier)
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self.model_bin = self.our_load_model(self.model_dir_of_binarization)
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self.model_textline = self.our_load_model(self.model_textline_dir)
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self.model_region = self.our_load_model(self.model_region_dir_p_ens)
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self.model_region_p2 = self.our_load_model(self.model_region_dir_p2)
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self.model_region_fl_np = self.our_load_model(self.model_region_dir_fully_np)
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self.model_region_fl = self.our_load_model(self.model_region_dir_fully)
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self.model_enhancement = self.our_load_model(self.model_dir_of_enhancement)
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self.model_reading_order = self.our_load_model(self.model_reading_order_dir)
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if self.tables:
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self.model_table = self.our_load_model(self.model_table_dir)
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self.ls_imgs = os.listdir(self.dir_in)
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def _cache_images(self, image_filename=None, image_pil=None):
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ret = {}
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