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https://github.com/qurator-spk/eynollah.git
synced 2025-06-10 04:39:54 +02:00
remove unused return_contours_of_interested_region_and_bounding_box
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parent
732a27fe77
commit
9454a921b1
3 changed files with 21 additions and 21 deletions
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@ -40,7 +40,6 @@ from .utils.contour import (
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return_bonding_box_of_contours,
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return_bonding_box_of_contours,
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return_contours_of_image,
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return_contours_of_image,
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return_contours_of_interested_region,
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return_contours_of_interested_region,
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return_contours_of_interested_region_and_bounding_box,
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return_contours_of_interested_region_by_min_size,
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return_contours_of_interested_region_by_min_size,
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return_contours_of_interested_textline,
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return_contours_of_interested_textline,
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return_parent_contours,
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return_parent_contours,
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@ -3027,3 +3027,24 @@ def seperate_lines_new(img_path, thetha, num_col, dir_of_all, f_name):
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##plt.imshow(img_patch_ineterst_revised)
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##plt.imshow(img_patch_ineterst_revised)
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##plt.show()
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##plt.show()
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return img_patch_ineterst_revised
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return img_patch_ineterst_revised
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def return_contours_of_interested_region_and_bounding_box(region_pre_p, pixel):
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# pixels of images are identified by 5
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cnts_images = (region_pre_p[:, :, 0] == pixel) * 1
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cnts_images = cnts_images.astype(np.uint8)
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cnts_images = np.repeat(cnts_images[:, :, np.newaxis], 3, axis=2)
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imgray = cv2.cvtColor(cnts_images, cv2.COLOR_BGR2GRAY)
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ret, thresh = cv2.threshold(imgray, 0, 255, 0)
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contours_imgs, hiearchy = cv2.findContours(thresh, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)
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contours_imgs = return_parent_contours(contours_imgs, hiearchy)
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contours_imgs = filter_contours_area_of_image_tables(thresh, contours_imgs, hiearchy, max_area=1, min_area=0.0003)
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boxes = []
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for jj in range(len(contours_imgs)):
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x, y, w, h = cv2.boundingRect(contours_imgs[jj])
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boxes.append([int(x), int(y), int(w), int(h)])
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return contours_imgs, boxes
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@ -40,26 +40,6 @@ def find_features_of_contours(contours_main):
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return y_min_main, y_max_main, areas_main
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return y_min_main, y_max_main, areas_main
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def return_contours_of_interested_region_and_bounding_box(region_pre_p, pixel):
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# pixels of images are identified by 5
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cnts_images = (region_pre_p[:, :, 0] == pixel) * 1
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cnts_images = cnts_images.astype(np.uint8)
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cnts_images = np.repeat(cnts_images[:, :, np.newaxis], 3, axis=2)
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imgray = cv2.cvtColor(cnts_images, cv2.COLOR_BGR2GRAY)
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ret, thresh = cv2.threshold(imgray, 0, 255, 0)
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contours_imgs, hiearchy = cv2.findContours(thresh, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)
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contours_imgs = return_parent_contours(contours_imgs, hiearchy)
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contours_imgs = filter_contours_area_of_image_tables(thresh, contours_imgs, hiearchy, max_area=1, min_area=0.0003)
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boxes = []
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for jj in range(len(contours_imgs)):
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x, y, w, h = cv2.boundingRect(contours_imgs[jj])
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boxes.append([int(x), int(y), int(w), int(h)])
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return contours_imgs, boxes
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def get_text_region_boxes_by_given_contours(contours):
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def get_text_region_boxes_by_given_contours(contours):
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kernel = np.ones((5, 5), np.uint8)
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kernel = np.ones((5, 5), np.uint8)
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