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@ -243,11 +243,11 @@ class eynollah:
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return prediction_true
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def check_dpi(self):
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self.dpi = os.popen('identify -format "%x " ' + self.image_dir).read()
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self.dpi = int(float(self.dpi))
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dpi = os.popen('identify -format "%x " ' + self.image_dir).read()
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return int(float(dpi))
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def resize_image_with_column_classifier(self, is_image_enhanced):
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self.check_dpi()
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dpi = self.check_dpi()
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img = cv2.imread(self.image_dir)
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img = img.astype(np.uint8)
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@ -365,7 +365,7 @@ class eynollah:
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return img, img_new, is_image_enhanced
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def resize_and_enhance_image_with_column_classifier(self, is_image_enhanced):
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self.check_dpi()
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dpi = self.check_dpi()
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img = cv2.imread(self.image_dir)
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img = img.astype(np.uint8)
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@ -409,9 +409,9 @@ class eynollah:
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K.clear_session()
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gc.collect()
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print(self.dpi)
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print(dpi)
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if self.dpi < 298:
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if dpi < 298:
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# sys.exit()
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if num_col == 1 and width_early < 1100:
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@ -524,14 +524,14 @@ class eynollah:
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return is_image_enhanced, img, image_res, num_col, num_column_is_classified
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def resize_and_enhance_image(self, is_image_enhanced):
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self.check_dpi()
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dpi = self.check_dpi()
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img = cv2.imread(self.image_dir)
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img = img.astype(np.uint8)
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# sys.exit()
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print(self.dpi)
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print(dpi)
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if self.dpi < 298:
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if dpi < 298:
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if img.shape[0] < 1000:
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img_h_new = int(img.shape[0] * 3)
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img_w_new = int(img.shape[1] * 3)
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