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eynollah
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The contours of images can now be written in an XML file

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pull/132/head
vahidrezanezhad 1 year ago
parent 364ccacab2
commit aa41e4df20
2 changed files with 41 additions and 11 deletions
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4
qurator/eynollah/cli.py
Unescape Escape View File

@ -182,8 +182,8 @@ def main(
if textline_light and not light_version:
print('Error: You used -tll to enable light textline detection but -light is not enabled')
sys.exit(1)
if extract_only_images and not ( save_images and enable_plotting):
print('Error: You used -eoi to enable extract images only mode but did not enable plotting with -ep and providing an output directory with -si')
if extract_only_images and (allow_enhancement or allow_scaling or light_version) :
print('Error: You used -eoi which can not be enabled alongside light_version -light or allow_scaling -as or allow_enhancement -ae')
sys.exit(1)
eynollah = Eynollah(
image_filename=image,

48
qurator/eynollah/eynollah.py
Unescape Escape View File

@ -624,8 +624,11 @@ class Eynollah:
image_res = np.copy(img)
is_image_enhanced = False
else:
img_new, num_column_is_classified = self.calculate_width_height_by_columns_extract_only_images(img, num_col, width_early, label_p_pred)
image_res = np.copy(img_new)
#img_new, num_column_is_classified = self.calculate_width_height_by_columns_extract_only_images(img, num_col, width_early, label_p_pred)
#image_res = np.copy(img_new)
#is_image_enhanced = True
num_column_is_classified = True
image_res = np.copy(img)
is_image_enhanced = False
self.logger.debug("exit resize_and_enhance_image_with_column_classifier")
@ -1621,16 +1624,27 @@ class Eynollah:
box_sub.put(boxes_sub_new)
def get_regions_light_v_extract_only_images(self,img,is_image_enhanced, num_col_classifier):
self.logger.debug("enter get_regions_light_v")
self.logger.debug("enter get_regions_extract_images_only")
erosion_hurts = False
img_org = np.copy(img)
img_height_h = img_org.shape[0]
img_width_h = img_org.shape[1]
#model_region, session_region = self.start_new_session_and_model(self.model_region_dir_p_ens)
if num_col_classifier == 1:
img_w_new = 700
elif num_col_classifier == 2:
img_w_new = 900
elif num_col_classifier == 3:
img_w_new = 1500
elif num_col_classifier == 4:
img_w_new = 1800
elif num_col_classifier == 5:
img_w_new = 2200
elif num_col_classifier == 6:
img_w_new = 2500
img_h_new = int(img.shape[0] / float(img.shape[1]) * img_w_new)
img_resized = np.copy(img)
img_resized = resize_image(img,img_h_new, img_w_new )
@ -1644,6 +1658,11 @@ class Eynollah:
#plt.show()
prediction_regions_org = resize_image(prediction_regions_org,img_height_h, img_width_h )
image_page, page_coord, cont_page = self.extract_page()
prediction_regions_org = prediction_regions_org[page_coord[0] : page_coord[1], page_coord[2] : page_coord[3]]
prediction_regions_org=prediction_regions_org[:,:,0]
@ -1695,6 +1714,13 @@ class Eynollah:
if test_poly_image_intersected_area==0:
polygons_of_images_fin.append(ploy_img_ind)
#x, y, w, h = cv2.boundingRect(ploy_img_ind)
#box = [x, y, w, h]
#_, page_coord = crop_image_inside_box(box, text_regions_p_true)
#cont_page.append(np.array([[page_coord[2], page_coord[0]], [page_coord[3], page_coord[0]], [page_coord[3], page_coord[1]], [page_coord[2], page_coord[1]]]))
#polygons_of_images_fin.append(np.array(cont_page))
#plt.imshow(test_poly_image)
#plt.show()
@ -1702,7 +1728,7 @@ class Eynollah:
return text_regions_p_true, erosion_hurts, polygons_lines_xml, polygons_of_images_fin
return text_regions_p_true, erosion_hurts, polygons_lines_xml, polygons_of_images_fin, image_page, page_coord, cont_page
def get_regions_light_v(self,img,is_image_enhanced, num_col_classifier):
self.logger.debug("enter get_regions_light_v")
erosion_hurts = False
@ -2554,6 +2580,7 @@ class Eynollah:
prediction_table_erode = cv2.erode(prediction_table[:,:,0], KERNEL, iterations=20)
prediction_table_erode = cv2.dilate(prediction_table_erode, KERNEL, iterations=20)
return prediction_table_erode.astype(np.int16)
def run_graphics_and_columns_light(self, text_regions_p_1, textline_mask_tot_ea, num_col_classifier, num_column_is_classified, erosion_hurts):
img_g = self.imread(grayscale=True, uint8=True)
@ -2970,13 +2997,16 @@ class Eynollah:
img_res, is_image_enhanced, num_col_classifier, num_column_is_classified = self.run_enhancement(self.light_version)
self.logger.info("Enhancing took %.1fs ", time.time() - t0)
text_regions_p_1 ,erosion_hurts, polygons_lines_xml,polygons_of_images = self.get_regions_light_v_extract_only_images(img_res, is_image_enhanced, num_col_classifier)
#self.logger.info("Textregion detection took %.1fs ", time.time() - t1t)
text_regions_p_1 ,erosion_hurts, polygons_lines_xml,polygons_of_images,image_page, page_coord, cont_page = self.get_regions_light_v_extract_only_images(img_res, is_image_enhanced, num_col_classifier)
pcgts = self.writer.build_pagexml_no_full_layout([], page_coord, [], [], [], [], polygons_of_images, [], [], [], [], [], cont_page, [], [])
if self.plotter:
self.plotter.write_images_into_directory(polygons_of_images, img_res)
#plt.imshow(text_regions_p_1)
#plt.show()
self.writer.write_pagexml(pcgts)
else:
img_res, is_image_enhanced, num_col_classifier, num_column_is_classified = self.run_enhancement(self.light_version)

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