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image enhancer updated
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1 changed files with 8 additions and 32 deletions
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@ -225,47 +225,23 @@ class Enhancer:
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def calculate_width_height_by_columns(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 and width_early < 1100:
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if num_col == 1:
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img_w_new = 2000
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elif num_col == 1 and width_early >= 2500:
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img_w_new = 2000
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elif num_col == 1 and width_early >= 1100 and width_early < 2500:
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img_w_new = width_early
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elif num_col == 2 and width_early < 2000:
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elif num_col == 2:
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img_w_new = 2400
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elif num_col == 2 and width_early >= 3500:
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img_w_new = 2400
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elif num_col == 2 and width_early >= 2000 and width_early < 3500:
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img_w_new = width_early
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elif num_col == 3 and width_early < 2000:
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elif num_col == 3:
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img_w_new = 3000
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elif num_col == 3 and width_early >= 4000:
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img_w_new = 3000
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elif num_col == 3 and width_early >= 2000 and width_early < 4000:
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img_w_new = width_early
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elif num_col == 4 and width_early < 2500:
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elif num_col == 4:
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img_w_new = 4000
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elif num_col == 4 and width_early >= 5000:
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img_w_new = 4000
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elif num_col == 4 and width_early >= 2500 and width_early < 5000:
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img_w_new = width_early
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elif num_col == 5 and width_early < 3700:
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elif num_col == 5:
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img_w_new = 5000
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elif num_col == 5 and width_early >= 7000:
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img_w_new = 5000
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elif num_col == 5 and width_early >= 3700 and width_early < 7000:
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img_w_new = width_early
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elif num_col == 6 and width_early < 4500:
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img_w_new = 6500 # 5400
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elif num_col == 6:
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img_w_new = 6500
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else:
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img_w_new = width_early
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img_h_new = img_w_new * img.shape[0] // img.shape[1]
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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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num_column_is_classified = False
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#elif label_p_pred[0][int(num_col - 1)] < 0.8 and img_h_new >= 8000:
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elif img_h_new >= 8000:
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if img_h_new >= 8000:
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img_new = np.copy(img)
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num_column_is_classified = False
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else:
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