updating dilation of textlines and text regions

pull/138/head^2
vahidrezanezhad 3 months ago
parent 7f08458436
commit 62f8ae4860

@ -3855,6 +3855,7 @@ class Eynollah:
x_differential = np.diff( con_ind[:,0,0])
y_differential = np.diff( con_ind[:,0,1])
x_differential = gaussian_filter1d(x_differential, 3)
y_differential = gaussian_filter1d(y_differential, 3)
@ -3912,6 +3913,93 @@ class Eynollah:
return all_found_textline_polygons
def dilate_textline_contours(self,all_found_textline_polygons):
for j in range(len(all_found_textline_polygons)):
for ij in range(len(all_found_textline_polygons[j])):
con_ind = all_found_textline_polygons[j][ij]
con_ind = con_ind.astype(np.float)
x_differential = np.diff( con_ind[:,0,0])
y_differential = np.diff( con_ind[:,0,1])
x_differential = gaussian_filter1d(x_differential, 3)
y_differential = gaussian_filter1d(y_differential, 3)
x_min = float(np.min( con_ind[:,0,0] ))
y_min = float(np.min( con_ind[:,0,1] ))
x_max = float(np.max( con_ind[:,0,0] ))
y_max = float(np.max( con_ind[:,0,1] ))
x_differential_mask_nonzeros = [ ind/abs(ind) if ind!=0 else ind for ind in x_differential]
y_differential_mask_nonzeros = [ ind/abs(ind) if ind!=0 else ind for ind in y_differential]
abs_diff=abs(abs(x_differential)- abs(y_differential) )
inc_x = np.zeros(len(x_differential)+1)
inc_y = np.zeros(len(x_differential)+1)
#print(y_max-y_min, x_max-x_min,(y_max-y_min)/(x_max-x_min), (x_max-x_min)/(y_max-y_min) )
##if (y_max-y_min)<40:
##dilation_m1 = 5
##dilation_m2 = int(dilation_m1/2.) +1
##else:
##dilation_m1 = 12
##dilation_m2 = int(dilation_m1/2.) +1
if (y_max-y_min) <= (x_max-x_min) and ((y_max-y_min)/(x_max-x_min))<0.3 and (x_max-x_min)>50:
dilation_m1 = int( (y_max-y_min) * 5/20.0 )
elif (y_max-y_min) <= (x_max-x_min) and ((y_max-y_min)/(x_max-x_min))>=0.3 and (x_max-x_min)>50:
dilation_m1 = int( (y_max-y_min) * 1/20.0 )
elif (x_max-x_min) < (y_max-y_min) and ((x_max-x_min)/(y_max-y_min))<0.3 and (y_max-y_min)>50:
dilation_m1 = int( (x_max-x_min) * 5/20.0 )
elif (x_max-x_min) < (y_max-y_min) and ((x_max-x_min)/(y_max-y_min))>=0.3 and (y_max-y_min)>50:
dilation_m1 = int( (x_max-x_min) * 1/20.0 )
else:
dilation_m1 = int( (y_max-y_min) * 4/20.0 )
dilation_m2 = int(dilation_m1/2.) +1
for i in range(len(x_differential)):
if abs_diff[i]==0:
inc_x[i+1] = dilation_m2*(-1*y_differential_mask_nonzeros[i])
inc_y[i+1] = dilation_m2*(x_differential_mask_nonzeros[i])
elif abs_diff[i]!=0 and x_differential_mask_nonzeros[i]==0 and y_differential_mask_nonzeros[i]!=0:
inc_x[i+1]= dilation_m1*(-1*y_differential_mask_nonzeros[i])
elif abs_diff[i]!=0 and x_differential_mask_nonzeros[i]!=0 and y_differential_mask_nonzeros[i]==0:
inc_y[i+1] = dilation_m1*(x_differential_mask_nonzeros[i])
elif abs_diff[i]!=0 and abs_diff[i]>=3:
if abs(x_differential[i])>abs(y_differential[i]):
inc_y[i+1] = dilation_m1*(x_differential_mask_nonzeros[i])
else:
inc_x[i+1]= dilation_m1*(-1*y_differential_mask_nonzeros[i])
else:
inc_x[i+1] = dilation_m2*(-1*y_differential_mask_nonzeros[i])
inc_y[i+1] = dilation_m2*(x_differential_mask_nonzeros[i])
###inc_x =list(inc_x)
###inc_x.append(inc_x[0])
###inc_y =list(inc_y)
###inc_y.append(inc_y[0])
inc_x[0] = inc_x[-1]
inc_y[0] = inc_y[-1]
con_scaled = con_ind*1
con_scaled[:,0, 0] = con_ind[:,0,0] + np.array(inc_x)[:]
con_scaled[:,0, 1] = con_ind[:,0,1] + np.array(inc_y)[:]
con_scaled[:,0, 1][con_scaled[:,0, 1]<0] = 0
con_scaled[:,0, 0][con_scaled[:,0, 0]<0] = 0
all_found_textline_polygons[j][ij][:,0,1] = con_scaled[:,0, 1]
all_found_textline_polygons[j][ij][:,0,0] = con_scaled[:,0, 0]
return all_found_textline_polygons
@ -4174,6 +4262,7 @@ class Eynollah:
if not self.light_version:
img_bin_light = None
polygons_of_images, img_revised_tab, text_regions_p_1_n, textline_mask_tot_d, regions_without_separators_d, regions_fully, regions_without_separators, polygons_of_marginals, contours_tables = self.run_boxes_full_layout(image_page, textline_mask_tot, text_regions_p, slope_deskew, num_col_classifier, img_only_regions, table_prediction, erosion_hurts, img_bin_light)
polygons_of_marginals = self.dilate_textregions_contours(polygons_of_marginals)
text_only = ((img_revised_tab[:, :] == 1)) * 1
if np.abs(slope_deskew) >= SLOPE_THRESHOLD:
text_only_d = ((text_regions_p_1_n[:, :] == 1)) * 1
@ -4304,6 +4393,7 @@ class Eynollah:
if self.light_version:
txt_con_org = get_textregion_contours_in_org_image_light(contours_only_text_parent, self.image, slope_first)
txt_con_org = self.dilate_textregions_contours(txt_con_org)
contours_only_text_parent = self.dilate_textregions_contours(contours_only_text_parent)
else:
txt_con_org = get_textregion_contours_in_org_image(contours_only_text_parent, self.image, slope_first)
#print("text region early 4 in %.1fs", time.time() - t0)
@ -4316,7 +4406,9 @@ class Eynollah:
slopes, all_found_textline_polygons, boxes_text, txt_con_org, contours_only_text_parent, all_box_coord, index_by_text_par_con = self.get_slopes_and_deskew_new_light(txt_con_org, contours_only_text_parent, textline_mask_tot_ea_org, image_page_rotated, boxes_text, slope_deskew)
slopes_marginals, all_found_textline_polygons_marginals, boxes_marginals, _, polygons_of_marginals, all_box_coord_marginals, _ = self.get_slopes_and_deskew_new_light(polygons_of_marginals, polygons_of_marginals, textline_mask_tot_ea_org, image_page_rotated, boxes_marginals, slope_deskew)
all_found_textline_polygons = self.dilate_textlines(all_found_textline_polygons)
#all_found_textline_polygons = self.dilate_textlines(all_found_textline_polygons)
all_found_textline_polygons = self.dilate_textline_contours(all_found_textline_polygons)
all_found_textline_polygons_marginals = self.dilate_textline_contours(all_found_textline_polygons_marginals)
else:
textline_mask_tot_ea = cv2.erode(textline_mask_tot_ea, kernel=KERNEL, iterations=1)
@ -4508,7 +4600,7 @@ class Eynollah:
all_found_textline_polygons=[ all_found_textline_polygons ]
all_found_textline_polygons = self.dilate_textlines(all_found_textline_polygons)
all_found_textline_polygons = self.dilate_textline_contours(all_found_textline_polygons)
order_text_new = [0]

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