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missing functions and remove self. prefix

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vahidrezanezhad 2020-12-09 17:04:27 +01:00 • committed by GitHub
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1 changed files with 45 additions and 18 deletions
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63
sbb_newspapers_org_image/utils/separate_lines.py
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@ -12,6 +12,33 @@ from .contour import (
filter_contours_area_of_image filter_contours_area_of_image
) )
from .is_nan import isNaN from .is_nan import isNaN
from .utils import (
boosting_headers_by_longshot_region_segmentation,
crop_image_inside_box,
find_features_of_lines,
find_num_col,
find_num_col_by_vertical_lines,
find_num_col_deskew,
find_num_col_only_image,
isNaN,
otsu_copy,
otsu_copy_binary,
return_hor_spliter_by_index_for_without_verticals,
delete_seperator_around,
return_regions_without_seperators,
put_drop_out_from_only_drop_model,
putt_bb_of_drop_capitals_of_model_in_patches_in_layout,
check_any_text_region_in_model_one_is_main_or_header,
small_textlines_to_parent_adherence2,
order_and_id_of_texts,
order_of_regions,
implent_law_head_main_not_parallel,
return_hor_spliter_by_index,
combine_hor_lines_and_delete_cross_points_and_get_lines_features_back_new,
return_points_with_boundies,
find_number_of_columns_in_document,
return_boxes_of_images_by_order_of_reading_new,
)
def dedup_separate_lines(img_patch, contour_text_interest, thetha, axis): def dedup_separate_lines(img_patch, contour_text_interest, thetha, axis):
(h, w) = img_patch.shape[:2] (h, w) = img_patch.shape[:2]
@ -1439,7 +1466,7 @@ def return_deskew_slop(img_patch_org, sigma_des, main_page=False, dir_of_all=Non
#indexer=0 #indexer=0
for rot in angels: for rot in angels:
img_rot=self.rotate_image(img_resized,rot) img_rot=rotate_image(img_resized,rot)
#plt.imshow(img_rot) #plt.imshow(img_rot)
#plt.show() #plt.show()
img_rot[img_rot!=0]=1 img_rot[img_rot!=0]=1
@ -1449,7 +1476,7 @@ def return_deskew_slop(img_patch_org, sigma_des, main_page=False, dir_of_all=Non
#neg_peaks,var_spectrum=self.find_num_col_deskew(img_rot,sigma_des,20.3 ) #neg_peaks,var_spectrum=self.find_num_col_deskew(img_rot,sigma_des,20.3 )
#print(var_spectrum,'var_spectrum') #print(var_spectrum,'var_spectrum')
try: try:
var_spectrum=self.find_num_col_deskew(img_rot,sigma_des,20.3 ) var_spectrum=find_num_col_deskew(img_rot,sigma_des,20.3 )
##print(rot,var_spectrum,'var_spectrum') ##print(rot,var_spectrum,'var_spectrum')
#res_me=np.mean(neg_peaks) #res_me=np.mean(neg_peaks)
#if res_me==0: #if res_me==0:
@ -1493,13 +1520,13 @@ def return_deskew_slop(img_patch_org, sigma_des, main_page=False, dir_of_all=Non
for rot in angels: for rot in angels:
img_rot=self.rotate_image(img_resized,rot) img_rot=rotate_image(img_resized,rot)
##plt.imshow(img_rot) ##plt.imshow(img_rot)
##plt.show() ##plt.show()
img_rot[img_rot!=0]=1 img_rot[img_rot!=0]=1
#res_me=np.mean(self.find_num_col_deskew(img_rot,sigma_des,2.0 )) #res_me=np.mean(self.find_num_col_deskew(img_rot,sigma_des,2.0 ))
try: try:
var_spectrum=self.find_num_col_deskew(img_rot,sigma_des,20.3 ) var_spectrum=find_num_col_deskew(img_rot,sigma_des,20.3 )
except: except:
var_spectrum=0 var_spectrum=0
@ -1526,7 +1553,7 @@ def return_deskew_slop(img_patch_org, sigma_des, main_page=False, dir_of_all=Non
var_res=[] var_res=[]
for rot in angels: for rot in angels:
img_rot=self.rotate_image(img_resized,rot) img_rot=rotate_image(img_resized,rot)
#plt.imshow(img_rot) #plt.imshow(img_rot)
#plt.show() #plt.show()
img_rot[img_rot!=0]=1 img_rot[img_rot!=0]=1
@ -1536,7 +1563,7 @@ def return_deskew_slop(img_patch_org, sigma_des, main_page=False, dir_of_all=Non
#neg_peaks,var_spectrum=self.find_num_col_deskew(img_rot,sigma_des,20.3 ) #neg_peaks,var_spectrum=self.find_num_col_deskew(img_rot,sigma_des,20.3 )
#print(var_spectrum,'var_spectrum') #print(var_spectrum,'var_spectrum')
try: try:
var_spectrum=self.find_num_col_deskew(img_rot,sigma_des,20.3 ) var_spectrum=find_num_col_deskew(img_rot,sigma_des,20.3 )
except: except:
var_spectrum=0 var_spectrum=0
@ -1544,7 +1571,7 @@ def return_deskew_slop(img_patch_org, sigma_des, main_page=False, dir_of_all=Non
var_res.append(var_spectrum) var_res.append(var_spectrum)
if self.dir_of_all is not None: if dir_of_all is not None:
#print('galdi?') #print('galdi?')
plt.figure(figsize=(60,30)) plt.figure(figsize=(60,30))
plt.rcParams['font.size']='50' plt.rcParams['font.size']='50'
@ -1554,7 +1581,7 @@ def return_deskew_slop(img_patch_org, sigma_des, main_page=False, dir_of_all=Non
plt.plot(angels[np.argmax(var_res)],var_res[np.argmax(np.array(var_res))] ,'*',markersize=50,label='Angle of deskewing=' +str("{:.2f}".format(angels[np.argmax(var_res)]))+r'$\degree$') plt.plot(angels[np.argmax(var_res)],var_res[np.argmax(np.array(var_res))] ,'*',markersize=50,label='Angle of deskewing=' +str("{:.2f}".format(angels[np.argmax(var_res)]))+r'$\degree$')
plt.legend(loc='best') plt.legend(loc='best')
plt.savefig(os.path.join(self.dir_of_all,self.f_name+'_rotation_angle.png')) plt.savefig(os.path.join(dir_of_all,f_name+'_rotation_angle.png'))
try: try:
@ -1573,13 +1600,13 @@ def return_deskew_slop(img_patch_org, sigma_des, main_page=False, dir_of_all=Non
var_res=[] var_res=[]
for rot in angels: for rot in angels:
img_rot=self.rotate_image(img_resized,rot) img_rot=rotate_image(img_resized,rot)
##plt.imshow(img_rot) ##plt.imshow(img_rot)
##plt.show() ##plt.show()
img_rot[img_rot!=0]=1 img_rot[img_rot!=0]=1
#res_me=np.mean(self.find_num_col_deskew(img_rot,sigma_des,2.0 )) #res_me=np.mean(self.find_num_col_deskew(img_rot,sigma_des,2.0 ))
try: try:
var_spectrum=self.find_num_col_deskew(img_rot,sigma_des,20.3 ) var_spectrum=find_num_col_deskew(img_rot,sigma_des,20.3 )
except: except:
var_spectrum=0 var_spectrum=0
@ -1601,13 +1628,13 @@ def return_deskew_slop(img_patch_org, sigma_des, main_page=False, dir_of_all=Non
var_res=[] var_res=[]
for rot in angels: for rot in angels:
img_rot=self.rotate_image(img_resized,rot) img_rot=rotate_image(img_resized,rot)
##plt.imshow(img_rot) ##plt.imshow(img_rot)
##plt.show() ##plt.show()
img_rot[img_rot!=0]=1 img_rot[img_rot!=0]=1
#res_me=np.mean(self.find_num_col_deskew(img_rot,sigma_des,2.0 )) #res_me=np.mean(self.find_num_col_deskew(img_rot,sigma_des,2.0 ))
try: try:
var_spectrum=self.find_num_col_deskew(img_rot,sigma_des,20.3 ) var_spectrum=find_num_col_deskew(img_rot,sigma_des,20.3 )
#print(indexer,'indexer') #print(indexer,'indexer')
except: except:
var_spectrum=0 var_spectrum=0
@ -1630,7 +1657,7 @@ def return_deskew_slop(img_patch_org, sigma_des, main_page=False, dir_of_all=Non
indexer=0 indexer=0
for rot in angels: for rot in angels:
img_rot=self.rotate_image(img_resized,rot) img_rot=rotate_image(img_resized,rot)
#plt.imshow(img_rot) #plt.imshow(img_rot)
#plt.show() #plt.show()
img_rot[img_rot!=0]=1 img_rot[img_rot!=0]=1
@ -1640,7 +1667,7 @@ def return_deskew_slop(img_patch_org, sigma_des, main_page=False, dir_of_all=Non
#neg_peaks,var_spectrum=self.find_num_col_deskew(img_rot,sigma_des,20.3 ) #neg_peaks,var_spectrum=self.find_num_col_deskew(img_rot,sigma_des,20.3 )
#print(var_spectrum,'var_spectrum') #print(var_spectrum,'var_spectrum')
try: try:
var_spectrum=self.find_num_col_deskew(img_rot,sigma_des,20.3 ) var_spectrum=find_num_col_deskew(img_rot,sigma_des,20.3 )
except: except:
var_spectrum=0 var_spectrum=0
@ -1669,13 +1696,13 @@ def return_deskew_slop(img_patch_org, sigma_des, main_page=False, dir_of_all=Non
var_res=[] var_res=[]
for rot in angels: for rot in angels:
img_rot=self.rotate_image(img_resized,rot) img_rot=rotate_image(img_resized,rot)
##plt.imshow(img_rot) ##plt.imshow(img_rot)
##plt.show() ##plt.show()
img_rot[img_rot!=0]=1 img_rot[img_rot!=0]=1
#res_me=np.mean(self.find_num_col_deskew(img_rot,sigma_des,2.0 )) #res_me=np.mean(self.find_num_col_deskew(img_rot,sigma_des,2.0 ))
try: try:
var_spectrum=self.find_num_col_deskew(img_rot,sigma_des,20.3 ) var_spectrum=find_num_col_deskew(img_rot,sigma_des,20.3 )
except: except:
var_spectrum=0 var_spectrum=0
@ -1699,13 +1726,13 @@ def return_deskew_slop(img_patch_org, sigma_des, main_page=False, dir_of_all=Non
indexer=0 indexer=0
for rot in angels: for rot in angels:
img_rot=self.rotate_image(img_resized,rot) img_rot=rotate_image(img_resized,rot)
##plt.imshow(img_rot) ##plt.imshow(img_rot)
##plt.show() ##plt.show()
img_rot[img_rot!=0]=1 img_rot[img_rot!=0]=1
#res_me=np.mean(self.find_num_col_deskew(img_rot,sigma_des,2.0 )) #res_me=np.mean(self.find_num_col_deskew(img_rot,sigma_des,2.0 ))
try: try:
var_spectrum=self.find_num_col_deskew(img_rot,sigma_des,20.3 ) var_spectrum=find_num_col_deskew(img_rot,sigma_des,20.3 )
#print(indexer,'indexer') #print(indexer,'indexer')
except: except:
var_spectrum=0 var_spectrum=0