qurator-spk
/
eynollah
mirror of https://github.com/qurator-spk/eynollah.git
1
0
Fork 0
Code Issues Projects Releases Wiki Activity

imread: use cv2.THREAD_GRAYSCALE constant rather than 0

Browse Source
pull/19/head
Konstantin Baierer 4 years ago
parent 3b10128c8f
commit 2929ba1ee3
1 changed files with 6 additions and 6 deletions
Show Stats Download Patch File Download Diff File

12
sbb_newspapers_org_image/eynollah.py
Unescape Escape View File

@ -347,7 +347,7 @@ class eynollah:
_, page_coord = self.early_page_for_num_of_column_classification() _, page_coord = self.early_page_for_num_of_column_classification()
model_num_classifier, session_col_classifier = self.start_new_session_and_model(self.model_dir_of_col_classifier) model_num_classifier, session_col_classifier = self.start_new_session_and_model(self.model_dir_of_col_classifier)
img_1ch = cv2.imread(self.image_filename, 0) img_1ch = cv2.imread(self.image_filename, cv.IMREAD_GRAYSCALE)
width_early = img_1ch.shape[1] width_early = img_1ch.shape[1]
img_1ch = img_1ch[page_coord[0] : page_coord[1], page_coord[2] : page_coord[3]] img_1ch = img_1ch[page_coord[0] : page_coord[1], page_coord[2] : page_coord[3]]
@ -394,7 +394,7 @@ class eynollah:
_, page_coord = self.early_page_for_num_of_column_classification() _, page_coord = self.early_page_for_num_of_column_classification()
model_num_classifier, session_col_classifier = self.start_new_session_and_model(self.model_dir_of_col_classifier) model_num_classifier, session_col_classifier = self.start_new_session_and_model(self.model_dir_of_col_classifier)
img_1ch = cv2.imread(self.image_filename, 0) img_1ch = cv2.imread(self.image_filename, cv2.IMREAD_GRAYSCALE)
img_1ch = img_1ch.astype(np.uint8) img_1ch = img_1ch.astype(np.uint8)
width_early = img_1ch.shape[1] width_early = img_1ch.shape[1]
@ -1673,6 +1673,7 @@ class eynollah:
# cv2.imwrite(os.path.join(dir_of_image, self.image_filename_stem) + ".tif",self.image_org) # cv2.imwrite(os.path.join(dir_of_image, self.image_filename_stem) + ".tif",self.image_org)
def get_regions_from_xy_2models(self,img,is_image_enhanced): def get_regions_from_xy_2models(self,img,is_image_enhanced):
self.logger.debug("enter get_regions_from_xy_2models")
img_org = np.copy(img) img_org = np.copy(img)
img_height_h = img_org.shape[0] img_height_h = img_org.shape[0]
img_width_h = img_org.shape[1] img_width_h = img_org.shape[1]
@ -2132,7 +2133,7 @@ class eynollah:
###is_image_enhanced,img_org,img_res=self.resize_and_enhance_image(is_image_enhanced) ###is_image_enhanced,img_org,img_res=self.resize_and_enhance_image(is_image_enhanced)
self.logger.info("resize and enhance image") 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_col_classifier, num_column_is_classified = self.resize_and_enhance_image_with_column_classifier(is_image_enhanced)
self.logger.info("Image is %senhanced" % 'is ' if is_image_enhanced else '') self.logger.info("Image is %senhanced", '' if is_image_enhanced else 'not ')
K.clear_session() K.clear_session()
scale = 1 scale = 1
@ -2156,10 +2157,9 @@ class eynollah:
text_regions_p_1 = self.get_regions_from_xy_2models(img_res, is_image_enhanced) text_regions_p_1 = self.get_regions_from_xy_2models(img_res, is_image_enhanced)
K.clear_session() K.clear_session()
gc.collect() gc.collect()
self.logger.info("Textregion detection took %ss " + str(time.time() - t1))
print("Textregion detection took %ss " + str(time.time() - t1)) img_g = cv2.imread(self.image_filename, cv2.IMREAD_GRAYSCALE)
img_g = cv2.imread(self.image_filename, 0)
img_g = img_g.astype(np.uint8) img_g = img_g.astype(np.uint8)
img_g3 = np.zeros((img_g.shape[0], img_g.shape[1], 3)) img_g3 = np.zeros((img_g.shape[0], img_g.shape[1], 3))

Write Preview
Loading…
Cancel
Save