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https://github.com/qurator-spk/eynollah.git
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ignoring dpi check by light version
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04e79002b3
commit
7ae6a8776f
1 changed files with 6 additions and 5 deletions
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@ -504,11 +504,11 @@ class Eynollah:
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def calculate_width_height_by_columns_1_2(self, img, num_col, width_early, label_p_pred):
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self.logger.debug("enter calculate_width_height_by_columns")
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if num_col == 1:
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img_w_new = 1000
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img_h_new = int(img.shape[0] / float(img.shape[1]) * 1000)
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else:
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img_w_new = 1300
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img_h_new = int(img.shape[0] / float(img.shape[1]) * 1300)
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else:
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img_w_new = 1500
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img_h_new = int(img.shape[0] / float(img.shape[1]) * 1500)
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if label_p_pred[0][int(num_col - 1)] < 0.9 and img_w_new < width_early:
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img_new = np.copy(img)
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@ -1213,7 +1213,7 @@ class Eynollah:
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marginal_of_patch_percent = 0.1
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prediction_regions = self.do_prediction(patches, img, model_region, marginal_of_patch_percent=marginal_of_patch_percent, n_batch_inference=4)
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prediction_regions = self.do_prediction(patches, img, model_region, marginal_of_patch_percent=marginal_of_patch_percent, n_batch_inference=3)
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prediction_regions = resize_image(prediction_regions, img_height_h, img_width_h)
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self.logger.debug("exit extract_text_regions")
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@ -1810,7 +1810,8 @@ class Eynollah:
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#print("inside 2 ", time.time()-t_in)
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#print(img_resized.shape, num_col_classifier, "num_col_classifier")
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if not self.dir_in:
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if num_col_classifier == 1 or num_col_classifier == 2:
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model_region, session_region = self.start_new_session_and_model(self.model_region_dir_p_1_2_sp_np)
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