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eynollah
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untangle run

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pull/19/head
Konstantin Baierer 4 years ago
parent 585445980b
commit bf6eaafbc7
1 changed files with 27 additions and 32 deletions
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sbb_newspapers_org_image/eynollah.py
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@ -387,7 +387,7 @@ class eynollah:
return img, img_new, is_image_enhanced
def resize_and_enhance_image_with_column_classifier(self, is_image_enhanced):
def resize_and_enhance_image_with_column_classifier(self):
self.logger.debug("enter resize_and_enhance_image_with_column_classifier")
dpi = self.check_dpi()
self.logger.info("Detected %s DPI" % dpi)
@ -432,19 +432,17 @@ class eynollah:
del page_coord
K.clear_session()
gc.collect()
self.logger.info("%s DPI" % dpi)
if dpi < 298:
img_new, num_column_is_classified = self.calculate_width_height_by_columns(img, num_col, width_early, label_p_pred)
image_res = self.predict_enhancement(img_new)
# cv2.imwrite(os.path.join(self.dir_out, self.image_filename_stem) + ".tif",self.image)
# self.image=self.image.astype(np.uint16)
is_image_enhanced = True
else:
is_image_enhanced = False
num_column_is_classified = True
image_res = np.copy(img)
self.logger.debug("exit resize_and_enhance_image_with_column_classifier")
return is_image_enhanced, img, image_res, num_col, num_column_is_classified
def get_image_and_scales(self, img_org, img_res, scale):
@ -463,10 +461,10 @@ class eynollah:
# Also set for the plotter
# XXX TODO hacky
#self.plotter.image_org = self.image_org
#self.plotter.scale_y = self.scale_y
#self.plotter.scale_x = self.scale_x
if self.plotter:
self.plotter.image_org = self.image_org
self.plotter.scale_y = self.scale_y
self.plotter.scale_x = self.scale_x
def get_image_and_scales_after_enhancing(self, img_org, img_res):
@ -625,7 +623,7 @@ class eynollah:
return prediction_true
def early_page_for_num_of_column_classification(self):
self.logger.debug("enter resize_and_enhance_image_with_column_classifier")
self.logger.debug("enter early_page_for_num_of_column_classification")
img = cv2.imread(self.image_filename)
img = img.astype(np.uint8)
patches = False
@ -661,7 +659,7 @@ class eynollah:
del img_page_prediction
gc.collect()
self.logger.debug("exit resize_and_enhance_image_with_column_classifier")
self.logger.debug("exit early_page_for_num_of_column_classification")
return croped_page, page_coord
def extract_page(self):
@ -1852,6 +1850,7 @@ class eynollah:
del img_org
gc.collect()
K.clear_session()
return text_regions_p_true
def do_order_of_regions_full_layout(self, contours_only_text_parent, contours_only_text_parent_h, boxes, textline_mask_tot):
@ -2141,21 +2140,10 @@ class eynollah:
return self.do_order_of_regions_full_layout(*args, **kwargs)
return self.do_order_of_regions_no_full_layout(*args, **kwargs)
def run(self):
"""
Get image and scales, then extract the page of scanned image
"""
self.logger.debug("enter run")
is_image_enhanced = False
t1 = time.time()
##########
###is_image_enhanced,img_org,img_res=self.resize_and_enhance_image(is_image_enhanced)
def run_enhancement(self):
self.logger.info("resize and enhance image")
is_image_enhanced, img_org, img_res, num_col_classifier, num_column_is_classified = self.resize_and_enhance_image_with_column_classifier(is_image_enhanced)
is_image_enhanced, img_org, img_res, _, num_column_is_classified = self.resize_and_enhance_image_with_column_classifier()
self.logger.info("Image is %senhanced", '' if is_image_enhanced else 'not ')
K.clear_session()
scale = 1
if is_image_enhanced:
@ -2173,13 +2161,22 @@ class eynollah:
if self.allow_scaling:
img_org, img_res, is_image_enhanced = self.resize_image_with_column_classifier(is_image_enhanced)
self.get_image_and_scales_after_enhancing(img_org, img_res)
self.logger.info("Enhancing took %ss ", str(time.time() - t1))
return img_res, is_image_enhanced, num_column_is_classified
def run(self):
"""
Get image and scales, then extract the page of scanned image
"""
self.logger.debug("enter run")
is_image_enhanced = False
t1 = time.time()
img_res, is_image_enhanced, num_column_is_classified = self.run_enhancement()
self.logger.info("Enhancing took %ss ", str(time.time() - t1))
t1 = time.time()
text_regions_p_1 = self.get_regions_from_xy_2models(img_res, is_image_enhanced)
K.clear_session()
gc.collect()
self.logger.info("Textregion detection took %ss " + str(time.time() - t1))
self.logger.info("Textregion detection took %ss ", str(time.time() - t1))
t1 = time.time()
img_g = cv2.imread(self.image_filename, cv2.IMREAD_GRAYSCALE)
@ -2224,7 +2221,8 @@ class eynollah:
peaks_neg_fin = []
#print(num_col, "num_colnum_col")
if num_col is None:
if not num_col:
self.logger.info("No columns detected, outputting an empty PAGE-XML")
txt_con_org = []
order_text_new = []
id_of_texts_tot = []
@ -2252,7 +2250,6 @@ class eynollah:
t1 = time.time()
# plt.imshow(textline_mask_tot_ea)
# plt.show()
# sys.exit()
sigma = 2
main_page_deskew = True
@ -2261,12 +2258,11 @@ class eynollah:
if self.plotter:
self.plotter.save_deskewed_image(slope_deskew)
# img_rotated=rotyate_image_different(self.image_org,slope_deskew)
self.logger.info("slope_deskew: %s", slope_deskew)
##plt.imshow(img_rotated)
##plt.show()
##sys.exit()
self.logger.info("deskewing: " + str(time.time() - t1))
t1 = time.time()
@ -2634,7 +2630,6 @@ class eynollah:
else:
boxes_d = return_boxes_of_images_by_order_of_reading_new(spliter_y_new_d, regions_without_seperators_d, matrix_of_lines_ch_d, num_col_classifier)
# print(slopes)
if self.plotter:
self.plotter.write_images_into_directory(polygons_of_images, image_page)

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