diff --git a/gt_gen_utils.py b/gt_gen_utils.py index dd4091f..5784e14 100644 --- a/gt_gen_utils.py +++ b/gt_gen_utils.py @@ -8,6 +8,7 @@ from tqdm import tqdm import cv2 from shapely import geometry from pathlib import Path +import matplotlib.pyplot as plt KERNEL = np.ones((5, 5), np.uint8) @@ -83,9 +84,13 @@ def return_contours_of_interested_region(region_pre_p, pixel, min_area=0.0002): ret, thresh = cv2.threshold(imgray, 0, 255, 0) contours_imgs, hierarchy = cv2.findContours(thresh, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE) + + #print(len(contours_imgs), hierarchy) contours_imgs = return_parent_contours(contours_imgs, hierarchy) - contours_imgs = filter_contours_area_of_image_tables(thresh, contours_imgs, hierarchy, max_area=1, min_area=min_area) + + #print(len(contours_imgs), "iki") + #contours_imgs = filter_contours_area_of_image_tables(thresh, contours_imgs, hierarchy, max_area=1, min_area=min_area) return contours_imgs def update_region_contours(co_text, img_boundary, erosion_rate, dilation_rate, y_len, x_len, dilation_early=None): @@ -103,12 +108,15 @@ def update_region_contours(co_text, img_boundary, erosion_rate, dilation_rate, y pixel = 1 min_size = 0 + + img_boundary_in = img_boundary_in.astype("uint8") + con_eroded = return_contours_of_interested_region(img_boundary_in,pixel, min_size ) - try: - co_text_eroded.append(con_eroded[0]) - except: - co_text_eroded.append(con) + #try: + co_text_eroded.append(con_eroded[0]) + #except: + #co_text_eroded.append(con) img_boundary_in_dilated = cv2.dilate(img_boundary_in[:,:], KERNEL, iterations=dilation_rate) @@ -262,8 +270,8 @@ def get_images_of_ground_truth(gt_list, dir_in, output_dir, output_type, config_ if "artificial_class_label" in keys: img_boundary = np.zeros((y_len, x_len)) erosion_rate = 0#1 - dilation_rate = 3 - dilation_early = 2 + dilation_rate = 2 + dilation_early = 1 co_use_case, img_boundary = update_region_contours(co_use_case, img_boundary, erosion_rate, dilation_rate, y_len, x_len, dilation_early=dilation_early )