From 7ae6a8776fb3cddc9279680f40fc23bc9b4df946 Mon Sep 17 00:00:00 2001 From: vahidrezanezhad Date: Mon, 26 Aug 2024 16:02:10 +0200 Subject: [PATCH] ignoring dpi check by light version --- qurator/eynollah/eynollah.py | 11 ++++++----- 1 file changed, 6 insertions(+), 5 deletions(-) diff --git a/qurator/eynollah/eynollah.py b/qurator/eynollah/eynollah.py index 640db16..ff35d6f 100644 --- a/qurator/eynollah/eynollah.py +++ b/qurator/eynollah/eynollah.py @@ -504,11 +504,11 @@ class Eynollah: def calculate_width_height_by_columns_1_2(self, img, num_col, width_early, label_p_pred): self.logger.debug("enter calculate_width_height_by_columns") if num_col == 1: + img_w_new = 1000 + img_h_new = int(img.shape[0] / float(img.shape[1]) * 1000) + else: img_w_new = 1300 img_h_new = int(img.shape[0] / float(img.shape[1]) * 1300) - else: - img_w_new = 1500 - img_h_new = int(img.shape[0] / float(img.shape[1]) * 1500) if label_p_pred[0][int(num_col - 1)] < 0.9 and img_w_new < width_early: img_new = np.copy(img) @@ -1213,7 +1213,7 @@ class Eynollah: marginal_of_patch_percent = 0.1 - prediction_regions = self.do_prediction(patches, img, model_region, marginal_of_patch_percent=marginal_of_patch_percent, n_batch_inference=4) + prediction_regions = self.do_prediction(patches, img, model_region, marginal_of_patch_percent=marginal_of_patch_percent, n_batch_inference=3) prediction_regions = resize_image(prediction_regions, img_height_h, img_width_h) self.logger.debug("exit extract_text_regions") @@ -1810,7 +1810,8 @@ class Eynollah: #print("inside 2 ", time.time()-t_in) - + + #print(img_resized.shape, num_col_classifier, "num_col_classifier") if not self.dir_in: if num_col_classifier == 1 or num_col_classifier == 2: model_region, session_region = self.start_new_session_and_model(self.model_region_dir_p_1_2_sp_np)