qurator-spk
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sbb_textline_detection
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Update main.py

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Rezanezhad, Vahid 5 years ago
parent c4d0d98ebf
commit 419beed836
1 changed files with 256 additions and 3 deletions
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qurator/sbb_textline_detector/main.py
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@ -1155,7 +1155,93 @@ class textlineerkenner:
elif slope_for_all == 999:
slope_for_all = slope_biggest
self.slopes.append(slope_for_all)
def order_of_regions(self, textline_mask,contours_main):
mada_n=textline_mask.sum(axis=1)
y=mada_n[:]
y_help=np.zeros(len(y)+40)
y_help[20:len(y)+20]=y
x=np.array( range(len(y)) )
peaks_real, _ = find_peaks(gaussian_filter1d(y, 3), height=0)
sigma_gaus=8
z= gaussian_filter1d(y_help, sigma_gaus)
zneg_rev=-y_help+np.max(y_help)
zneg=np.zeros(len(zneg_rev)+40)
zneg[20:len(zneg_rev)+20]=zneg_rev
zneg= gaussian_filter1d(zneg, sigma_gaus)
peaks, _ = find_peaks(z, height=0)
peaks_neg, _ = find_peaks(zneg, height=0)
peaks_neg=peaks_neg-20-20
peaks=peaks-20
if contours_main!=None:
areas_main=np.array([cv2.contourArea(contours_main[j]) for j in range(len(contours_main))])
M_main=[cv2.moments(contours_main[j]) for j in range(len(contours_main))]
cx_main=[(M_main[j]['m10']/(M_main[j]['m00']+1e-32)) for j in range(len(M_main))]
cy_main=[(M_main[j]['m01']/(M_main[j]['m00']+1e-32)) for j in range(len(M_main))]
x_min_main=np.array([np.min(contours_main[j][:,0,0]) for j in range(len(contours_main))])
x_max_main=np.array([np.max(contours_main[j][:,0,0]) for j in range(len(contours_main))])
y_min_main=np.array([np.min(contours_main[j][:,0,1]) for j in range(len(contours_main))])
y_max_main=np.array([np.max(contours_main[j][:,0,1]) for j in range(len(contours_main))])
if contours_main!=None:
indexer_main=np.array(range(len(contours_main)))
if contours_main!=None:
len_main=len(contours_main)
else:
len_main=0
matrix_of_orders=np.zeros((len_main,5))
matrix_of_orders[:,0]=np.array( range( len_main ) )
matrix_of_orders[:len_main,1]=1
matrix_of_orders[len_main:,1]=2
matrix_of_orders[:len_main,2]=cx_main
matrix_of_orders[:len_main,3]=cy_main
matrix_of_orders[:len_main,4]=np.array( range( len_main ) )
final_indexers_sorted=[]
for i in range(len(peaks_neg)-1):
top=peaks_neg[i]
down=peaks_neg[i+1]
indexes_in=matrix_of_orders[:,0][(matrix_of_orders[:,3]>=top) & ((matrix_of_orders[:,3]<down))]
cxs_in=matrix_of_orders[:,2][(matrix_of_orders[:,3]>=top) & ((matrix_of_orders[:,3]<down))]
sorted_inside=np.argsort(cxs_in)
ind_in_int=indexes_in[sorted_inside]
for j in range(len(ind_in_int)):
final_indexers_sorted.append(int(ind_in_int[j]) )
return final_indexers_sorted, matrix_of_orders
def order_and_id_of_texts(self, found_polygons_text_region ,matrix_of_orders ,indexes_sorted ):
id_of_texts=[]
order_of_texts=[]
index_b=0
for mm in range(len(found_polygons_text_region)):
id_of_texts.append('r'+str(index_b) )
index_matrix=matrix_of_orders[:,0][( matrix_of_orders[:,1]==1 ) & ( matrix_of_orders[:,4]==mm ) ]
order_of_texts.append(np.where(indexes_sorted == index_matrix)[0][0])
index_b+=1
order_of_texts
return order_of_texts, id_of_texts
def deskew_textline_patches(self, contours, boxes):
self.all_text_region_processed = []
self.all_found_texline_polygons = []
@ -1189,7 +1275,171 @@ class textlineerkenner:
# img_v=np.zeros(text_patch_processed.shape)
# img_v=cv2.fillPoly(img_v, pts =found_polygons, color=(255,255,255))
# sumi=np.sum(np.sum(self.all_text_images[jj],axis=2),axis=1)
def write_into_page_xml(self,contours,page_coord,dir_of_image,order_of_texts , id_of_texts):
found_polygons_text_region=contours
# create the file structure
data = ET.Element('PcGts')
data.set('xmlns',"http://schema.primaresearch.org/PAGE/gts/pagecontent/2017-07-15")
data.set('xmlns:xsi',"http://www.w3.org/2001/XMLSchema-instance")
data.set('xsi:schemaLocation',"http://schema.primaresearch.org/PAGE/gts/pagecontent/2017-07-15")
#data.set('http',"http://schema.primaresearch.org/PAGE/gts/pagecontent/2018-07-15/pagecontent.xsd")
metadata=ET.SubElement(data,'Metadata')
author=ET.SubElement(metadata, 'Creator')
author.text = 'Vahid'
created=ET.SubElement(metadata, 'Created')
created.text = '2019-06-17T18:15:12'
changetime=ET.SubElement(metadata, 'LastChange')
changetime.text = '2019-06-17T18:15:12'
page=ET.SubElement(data,'Page')
page.set('imageFilename',self.f_name+'.tif')
page.set('imageHeight',str(self.height_org) )
page.set('imageWidth',str(self.width_org) )
page.set('type',"content")
page.set('readingDirection',"left-to-right")
page.set('textLineOrder',"top-to-bottom" )
"""
page_print_sub=ET.SubElement(page, 'PrintSpace')
coord_page = ET.SubElement(page_print_sub, 'Coords')
points_page_print=''
for lmm in range(len(cont_page[0])):
if len(cont_page[0][lmm])==2:
points_page_print=points_page_print+str( int( (cont_page[0][lmm][0])/self.scale_x ) )
points_page_print=points_page_print+','
points_page_print=points_page_print+str( int( (cont_page[0][lmm][1])/self.scale_y ) )
else:
points_page_print=points_page_print+str( int((cont_page[0][lmm][0][0])/self.scale_x) )
points_page_print=points_page_print+','
points_page_print=points_page_print+str( int((cont_page[0][lmm][0][1])/self.scale_y) )
if lmm<(len(cont_page[0])-1):
points_page_print=points_page_print+' '
#print(points_co)
coord_page.set('points',points_page_print)
"""
region_order=ET.SubElement(page, 'ReadingOrder')
region_order_sub = ET.SubElement(region_order, 'OrderedGroup')
region_order_sub.set('id',"ro357564684568544579089")
args_sort=np.argsort(order_of_texts)
for vj in args_sort:
name="coord_text_"+str(vj)
name = ET.SubElement(region_order_sub, 'RegionRefIndexed')
name.set('index',str(order_of_texts[vj]) )
name.set('regionRef',id_of_texts[vj])
id_indexer=0
id_indexer_l=0
for mm in range(len(found_polygons_text_region)):
textregion=ET.SubElement(page, 'TextRegion')
textregion.set('id','r'+str(id_indexer))
id_indexer+=1
textregion.set('type','paragraph')
#if mm==0:
# textregion.set('type','heading')
#else:
# textregion.set('type','paragraph')
coord_text = ET.SubElement(textregion, 'Coords')
points_co=''
for lmm in range(len(found_polygons_text_region[mm])):
if len(found_polygons_text_region[mm][lmm])==2:
points_co=points_co+str( int( (found_polygons_text_region[mm][lmm][0] +page_coord[2])/self.scale_x ) )
points_co=points_co+','
points_co=points_co+str( int( (found_polygons_text_region[mm][lmm][1] +page_coord[0])/self.scale_y ) )
else:
points_co=points_co+str( int((found_polygons_text_region[mm][lmm][0][0] +page_coord[2])/self.scale_x) )
points_co=points_co+','
points_co=points_co+str( int((found_polygons_text_region[mm][lmm][0][1] +page_coord[0])/self.scale_y) )
if lmm<(len(found_polygons_text_region[mm])-1):
points_co=points_co+' '
#print(points_co)
coord_text.set('points',points_co)
for j in range(len(self.all_found_texline_polygons[mm])):
textline=ET.SubElement(textregion, 'TextLine')
textline.set('id','l'+str(id_indexer_l))
id_indexer_l+=1
coord = ET.SubElement(textline, 'Coords')
texteq=ET.SubElement(textline, 'TextEquiv')
uni=ET.SubElement(texteq, 'Unicode')
uni.text = ' '
#points = ET.SubElement(coord, 'Points')
points_co=''
for l in range(len(self.all_found_texline_polygons[mm][j])):
#point = ET.SubElement(coord, 'Point')
#point.set('x',str(found_polygons[j][l][0]))
#point.set('y',str(found_polygons[j][l][1]))
if len(self.all_found_texline_polygons[mm][j][l])==2:
points_co=points_co+str( int( (self.all_found_texline_polygons[mm][j][l][0] +page_coord[2]
+self.all_box_coord[mm][2])/self.scale_x) )
points_co=points_co+','
points_co=points_co+str( int( (self.all_found_texline_polygons[mm][j][l][1] +page_coord[0]
+self.all_box_coord[mm][0])/self.scale_y) )
else:
points_co=points_co+str( int( ( self.all_found_texline_polygons[mm][j][l][0][0] +page_coord[2]
+self.all_box_coord[mm][2])/self.scale_x ) )
points_co=points_co+','
points_co=points_co+str( int( ( self.all_found_texline_polygons[mm][j][l][0][1] +page_coord[0]
+self.all_box_coord[mm][0])/self.scale_y) )
if l<(len(self.all_found_texline_polygons[mm][j])-1):
points_co=points_co+' '
#print(points_co)
coord.set('points',points_co)
texteqreg=ET.SubElement(textregion, 'TextEquiv')
unireg=ET.SubElement(texteqreg, 'Unicode')
unireg.text = ' '
tree = ET.ElementTree(data)
tree.write(os.path.join(self.dir_out, self.f_name) + ".xml")
"""
def write_into_page_xml(self, contours, page_coord):
found_polygons_text_region = contours
@ -1300,7 +1550,7 @@ class textlineerkenner:
tree = ET.ElementTree(data)
tree.write(os.path.join(self.dir_out, self.f_name) + ".xml")
"""
def run(self):
self.get_image_and_scales()
image_page,page_coord=self.extract_page()
@ -1309,10 +1559,13 @@ class textlineerkenner:
self.get_all_image_patches_based_on_text_regions(boxes,image_page)
textline_mask_tot=self.textline_contours(image_page)
indexes_sorted, matrix_of_orders=self.order_of_regions(textline_mask_tot,contours)
order_of_texts, id_of_texts=self.order_and_id_of_texts(contours ,matrix_of_orders ,indexes_sorted )
self.get_textlines_for_each_textregions(textline_mask_tot,boxes)
self.get_slopes_for_each_text_region(contours)
self.deskew_textline_patches(contours, boxes)
self.write_into_page_xml(contours, page_coord)
self.write_into_page_xml(contours,page_coord,self.dir_out , order_of_texts , id_of_texts)
@click.command()

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