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@ -119,7 +119,7 @@ class Eynollah:
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self.logger = getLogger('eynollah')
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self.logger = getLogger('eynollah')
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self.dir_models = dir_models
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self.dir_models = dir_models
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self.model_dir_of_enhancemnet = dir_models + "/model_enhancement.h5"
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self.model_dir_of_enhancement = dir_models + "/model_enhancement.h5"
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self.model_dir_of_col_classifier = dir_models + "/model_scale_classifier.h5"
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self.model_dir_of_col_classifier = dir_models + "/model_scale_classifier.h5"
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self.model_region_dir_p = dir_models + "/model_main_covid19_lr5-5_scale_1_1_great.h5"
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self.model_region_dir_p = dir_models + "/model_main_covid19_lr5-5_scale_1_1_great.h5"
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self.model_region_dir_p2 = dir_models + "/model_main_home_corona3_rot.h5"
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self.model_region_dir_p2 = dir_models + "/model_main_home_corona3_rot.h5"
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@ -149,7 +149,7 @@ class Eynollah:
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def predict_enhancement(self, img):
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def predict_enhancement(self, img):
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self.logger.debug("enter predict_enhancement")
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self.logger.debug("enter predict_enhancement")
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model_enhancement, _ = self.start_new_session_and_model(self.model_dir_of_enhancemnet)
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model_enhancement, _ = self.start_new_session_and_model(self.model_dir_of_enhancement)
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img_height_model = model_enhancement.layers[len(model_enhancement.layers) - 1].output_shape[1]
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img_height_model = model_enhancement.layers[len(model_enhancement.layers) - 1].output_shape[1]
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img_width_model = model_enhancement.layers[len(model_enhancement.layers) - 1].output_shape[2]
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img_width_model = model_enhancement.layers[len(model_enhancement.layers) - 1].output_shape[2]
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