|
|
@ -3,6 +3,7 @@ import numpy as np
|
|
|
|
import cv2
|
|
|
|
import cv2
|
|
|
|
from scipy.signal import find_peaks
|
|
|
|
from scipy.signal import find_peaks
|
|
|
|
from scipy.ndimage import gaussian_filter1d
|
|
|
|
from scipy.ndimage import gaussian_filter1d
|
|
|
|
|
|
|
|
import os
|
|
|
|
|
|
|
|
|
|
|
|
from .rotate import rotate_image
|
|
|
|
from .rotate import rotate_image
|
|
|
|
from .contour import (
|
|
|
|
from .contour import (
|
|
|
@ -150,56 +151,181 @@ def dedup_separate_lines(img_patch, contour_text_interest, thetha, axis):
|
|
|
|
|
|
|
|
|
|
|
|
def seperate_lines(img_patch, contour_text_interest, thetha, x_help, y_help):
|
|
|
|
def seperate_lines(img_patch, contour_text_interest, thetha, x_help, y_help):
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
(h, w) = img_patch.shape[:2]
|
|
|
|
|
|
|
|
center = (w // 2, h // 2)
|
|
|
|
|
|
|
|
M = cv2.getRotationMatrix2D(center, -thetha, 1.0)
|
|
|
|
|
|
|
|
x_d = M[0, 2]
|
|
|
|
|
|
|
|
y_d = M[1, 2]
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
thetha = thetha / 180. * np.pi
|
|
|
|
|
|
|
|
rotation_matrix = np.array([[np.cos(thetha), -np.sin(thetha)], [np.sin(thetha), np.cos(thetha)]])
|
|
|
|
contour_text_interest_copy = contour_text_interest.copy()
|
|
|
|
contour_text_interest_copy = contour_text_interest.copy()
|
|
|
|
x, y, x_d, y_d, xv, x_min_cont, y_min_cont, x_max_cont, y_max_cont, first_nonzero, y_padded_up_to_down_padded, y_padded_smoothed, peaks, peaks_neg, rotation_matrix = dedup_separate_lines(img_patch, contour_text_interest, thetha, 1)
|
|
|
|
|
|
|
|
|
|
|
|
x_cont = contour_text_interest[:, 0, 0]
|
|
|
|
|
|
|
|
y_cont = contour_text_interest[:, 0, 1]
|
|
|
|
|
|
|
|
x_cont = x_cont - np.min(x_cont)
|
|
|
|
|
|
|
|
y_cont = y_cont - np.min(y_cont)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
x_min_cont = 0
|
|
|
|
|
|
|
|
x_max_cont = img_patch.shape[1]
|
|
|
|
|
|
|
|
y_min_cont = 0
|
|
|
|
|
|
|
|
y_max_cont = img_patch.shape[0]
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
xv = np.linspace(x_min_cont, x_max_cont, 1000)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
textline_patch_sum_along_width = img_patch.sum(axis=1)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
first_nonzero = 0 # (next((i for i, x in enumerate(mada_n) if x), None))
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
y = textline_patch_sum_along_width[:] # [first_nonzero:last_nonzero]
|
|
|
|
|
|
|
|
y_padded = np.zeros(len(y) + 40)
|
|
|
|
|
|
|
|
y_padded[20:len(y) + 20] = y
|
|
|
|
|
|
|
|
x = np.array(range(len(y)))
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
peaks_real, _ = find_peaks(gaussian_filter1d(y, 3), height=0)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
if 1>0:
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
try:
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
y_padded_smoothed_e= gaussian_filter1d(y_padded, 2)
|
|
|
|
|
|
|
|
y_padded_up_to_down_e=-y_padded+np.max(y_padded)
|
|
|
|
|
|
|
|
y_padded_up_to_down_padded_e=np.zeros(len(y_padded_up_to_down_e)+40)
|
|
|
|
|
|
|
|
y_padded_up_to_down_padded_e[20:len(y_padded_up_to_down_e)+20]=y_padded_up_to_down_e
|
|
|
|
|
|
|
|
y_padded_up_to_down_padded_e= gaussian_filter1d(y_padded_up_to_down_padded_e, 2)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
peaks_e, _ = find_peaks(y_padded_smoothed_e, height=0)
|
|
|
|
|
|
|
|
peaks_neg_e, _ = find_peaks(y_padded_up_to_down_padded_e, height=0)
|
|
|
|
|
|
|
|
neg_peaks_max=np.max(y_padded_up_to_down_padded_e[peaks_neg_e])
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
arg_neg_must_be_deleted= np.array(range(len(peaks_neg_e)))[y_padded_up_to_down_padded_e[peaks_neg_e]/float(neg_peaks_max)<0.3 ]
|
|
|
|
|
|
|
|
diff_arg_neg_must_be_deleted=np.diff(arg_neg_must_be_deleted)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
arg_diff=np.array(range(len(diff_arg_neg_must_be_deleted)))
|
|
|
|
|
|
|
|
arg_diff_cluster=arg_diff[diff_arg_neg_must_be_deleted>1]
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
peaks_new=peaks_e[:]
|
|
|
|
|
|
|
|
peaks_neg_new=peaks_neg_e[:]
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
clusters_to_be_deleted=[]
|
|
|
|
|
|
|
|
if len(arg_diff_cluster)>0:
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
clusters_to_be_deleted.append(arg_neg_must_be_deleted[0:arg_diff_cluster[0]+1])
|
|
|
|
|
|
|
|
for i in range(len(arg_diff_cluster)-1):
|
|
|
|
|
|
|
|
clusters_to_be_deleted.append(arg_neg_must_be_deleted[arg_diff_cluster[i]+1:arg_diff_cluster[i+1]+1])
|
|
|
|
|
|
|
|
clusters_to_be_deleted.append(arg_neg_must_be_deleted[arg_diff_cluster[len(arg_diff_cluster)-1]+1:])
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
if len(clusters_to_be_deleted)>0:
|
|
|
|
|
|
|
|
peaks_new_extra=[]
|
|
|
|
|
|
|
|
for m in range(len(clusters_to_be_deleted)):
|
|
|
|
|
|
|
|
min_cluster=np.min(peaks_e[clusters_to_be_deleted[m]])
|
|
|
|
|
|
|
|
max_cluster=np.max(peaks_e[clusters_to_be_deleted[m]])
|
|
|
|
|
|
|
|
peaks_new_extra.append( int( (min_cluster+max_cluster)/2.0) )
|
|
|
|
|
|
|
|
for m1 in range(len(clusters_to_be_deleted[m])):
|
|
|
|
|
|
|
|
peaks_new=peaks_new[peaks_new!=peaks_e[clusters_to_be_deleted[m][m1]-1]]
|
|
|
|
|
|
|
|
peaks_new=peaks_new[peaks_new!=peaks_e[clusters_to_be_deleted[m][m1]]]
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
peaks_neg_new=peaks_neg_new[peaks_neg_new!=peaks_neg_e[clusters_to_be_deleted[m][m1]]]
|
|
|
|
|
|
|
|
peaks_new_tot=[]
|
|
|
|
|
|
|
|
for i1 in peaks_new:
|
|
|
|
|
|
|
|
peaks_new_tot.append(i1)
|
|
|
|
|
|
|
|
for i1 in peaks_new_extra:
|
|
|
|
|
|
|
|
peaks_new_tot.append(i1)
|
|
|
|
|
|
|
|
peaks_new_tot=np.sort(peaks_new_tot)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
else:
|
|
|
|
|
|
|
|
peaks_new_tot=peaks_e[:]
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
textline_con,hierachy=return_contours_of_image(img_patch)
|
|
|
|
|
|
|
|
textline_con_fil=filter_contours_area_of_image(img_patch,textline_con,hierachy,max_area=1,min_area=0.0008)
|
|
|
|
|
|
|
|
y_diff_mean=np.mean(np.diff(peaks_new_tot))#self.find_contours_mean_y_diff(textline_con_fil)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
sigma_gaus=int( y_diff_mean * (7./40.0) )
|
|
|
|
|
|
|
|
#print(sigma_gaus,'sigma_gaus')
|
|
|
|
|
|
|
|
except:
|
|
|
|
|
|
|
|
sigma_gaus=12
|
|
|
|
|
|
|
|
if sigma_gaus<3:
|
|
|
|
|
|
|
|
sigma_gaus=3
|
|
|
|
|
|
|
|
#print(sigma_gaus,'sigma')
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
y_padded_smoothed= gaussian_filter1d(y_padded, sigma_gaus)
|
|
|
|
|
|
|
|
y_padded_up_to_down=-y_padded+np.max(y_padded)
|
|
|
|
|
|
|
|
y_padded_up_to_down_padded=np.zeros(len(y_padded_up_to_down)+40)
|
|
|
|
|
|
|
|
y_padded_up_to_down_padded[20:len(y_padded_up_to_down)+20]=y_padded_up_to_down
|
|
|
|
|
|
|
|
y_padded_up_to_down_padded= gaussian_filter1d(y_padded_up_to_down_padded, sigma_gaus)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
peaks, _ = find_peaks(y_padded_smoothed, height=0)
|
|
|
|
|
|
|
|
peaks_neg, _ = find_peaks(y_padded_up_to_down_padded, height=0)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
try:
|
|
|
|
try:
|
|
|
|
neg_peaks_max = np.max(y_padded_smoothed[peaks])
|
|
|
|
neg_peaks_max=np.max(y_padded_smoothed[peaks])
|
|
|
|
|
|
|
|
|
|
|
|
arg_neg_must_be_deleted = np.array(range(len(peaks_neg)))[y_padded_up_to_down_padded[peaks_neg] / float(neg_peaks_max) < 0.42]
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
diff_arg_neg_must_be_deleted = np.diff(arg_neg_must_be_deleted)
|
|
|
|
arg_neg_must_be_deleted= np.array(range(len(peaks_neg)))[y_padded_up_to_down_padded[peaks_neg]/float(neg_peaks_max)<0.42 ]
|
|
|
|
|
|
|
|
|
|
|
|
arg_diff = np.array(range(len(diff_arg_neg_must_be_deleted)))
|
|
|
|
|
|
|
|
arg_diff_cluster = arg_diff[diff_arg_neg_must_be_deleted > 1]
|
|
|
|
diff_arg_neg_must_be_deleted=np.diff(arg_neg_must_be_deleted)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
arg_diff=np.array(range(len(diff_arg_neg_must_be_deleted)))
|
|
|
|
|
|
|
|
arg_diff_cluster=arg_diff[diff_arg_neg_must_be_deleted>1]
|
|
|
|
except:
|
|
|
|
except:
|
|
|
|
arg_neg_must_be_deleted = []
|
|
|
|
arg_neg_must_be_deleted=[]
|
|
|
|
arg_diff_cluster = []
|
|
|
|
arg_diff_cluster=[]
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
try:
|
|
|
|
try:
|
|
|
|
peaks_new = peaks[:]
|
|
|
|
peaks_new=peaks[:]
|
|
|
|
peaks_neg_new = peaks_neg[:]
|
|
|
|
peaks_neg_new=peaks_neg[:]
|
|
|
|
clusters_to_be_deleted = []
|
|
|
|
clusters_to_be_deleted=[]
|
|
|
|
|
|
|
|
|
|
|
|
if len(arg_diff_cluster) >= 2 and len(arg_diff_cluster) > 0:
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
clusters_to_be_deleted.append(arg_neg_must_be_deleted[0 : arg_diff_cluster[0] + 1])
|
|
|
|
if len(arg_diff_cluster)>=2 and len(arg_diff_cluster)>0:
|
|
|
|
for i in range(len(arg_diff_cluster) - 1):
|
|
|
|
|
|
|
|
clusters_to_be_deleted.append(arg_neg_must_be_deleted[arg_diff_cluster[i] + 1 : arg_diff_cluster[i + 1] + 1])
|
|
|
|
clusters_to_be_deleted.append(arg_neg_must_be_deleted[0:arg_diff_cluster[0]+1])
|
|
|
|
clusters_to_be_deleted.append(arg_neg_must_be_deleted[arg_diff_cluster[len(arg_diff_cluster) - 1] + 1 :])
|
|
|
|
for i in range(len(arg_diff_cluster)-1):
|
|
|
|
elif len(arg_neg_must_be_deleted) >= 2 and len(arg_diff_cluster) == 0:
|
|
|
|
clusters_to_be_deleted.append(arg_neg_must_be_deleted[arg_diff_cluster[i]+1:arg_diff_cluster[i+1]+1])
|
|
|
|
|
|
|
|
clusters_to_be_deleted.append(arg_neg_must_be_deleted[arg_diff_cluster[len(arg_diff_cluster)-1]+1:])
|
|
|
|
|
|
|
|
elif len(arg_neg_must_be_deleted)>=2 and len(arg_diff_cluster)==0:
|
|
|
|
clusters_to_be_deleted.append(arg_neg_must_be_deleted[:])
|
|
|
|
clusters_to_be_deleted.append(arg_neg_must_be_deleted[:])
|
|
|
|
|
|
|
|
|
|
|
|
if len(arg_neg_must_be_deleted) == 1:
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
if len(arg_neg_must_be_deleted)==1:
|
|
|
|
clusters_to_be_deleted.append(arg_neg_must_be_deleted)
|
|
|
|
clusters_to_be_deleted.append(arg_neg_must_be_deleted)
|
|
|
|
|
|
|
|
|
|
|
|
if len(clusters_to_be_deleted) > 0:
|
|
|
|
|
|
|
|
peaks_new_extra = []
|
|
|
|
if len(clusters_to_be_deleted)>0:
|
|
|
|
|
|
|
|
peaks_new_extra=[]
|
|
|
|
for m in range(len(clusters_to_be_deleted)):
|
|
|
|
for m in range(len(clusters_to_be_deleted)):
|
|
|
|
min_cluster = np.min(peaks[clusters_to_be_deleted[m]])
|
|
|
|
min_cluster=np.min(peaks[clusters_to_be_deleted[m]])
|
|
|
|
max_cluster = np.max(peaks[clusters_to_be_deleted[m]])
|
|
|
|
max_cluster=np.max(peaks[clusters_to_be_deleted[m]])
|
|
|
|
peaks_new_extra.append(int((min_cluster + max_cluster) / 2.0))
|
|
|
|
peaks_new_extra.append( int( (min_cluster+max_cluster)/2.0) )
|
|
|
|
for m1 in range(len(clusters_to_be_deleted[m])):
|
|
|
|
for m1 in range(len(clusters_to_be_deleted[m])):
|
|
|
|
peaks_new = peaks_new[peaks_new != peaks[clusters_to_be_deleted[m][m1] - 1]]
|
|
|
|
peaks_new=peaks_new[peaks_new!=peaks[clusters_to_be_deleted[m][m1]-1]]
|
|
|
|
peaks_new = peaks_new[peaks_new != peaks[clusters_to_be_deleted[m][m1]]]
|
|
|
|
peaks_new=peaks_new[peaks_new!=peaks[clusters_to_be_deleted[m][m1]]]
|
|
|
|
|
|
|
|
|
|
|
|
peaks_neg_new = peaks_neg_new[peaks_neg_new != peaks_neg[clusters_to_be_deleted[m][m1]]]
|
|
|
|
peaks_neg_new=peaks_neg_new[peaks_neg_new!=peaks_neg[clusters_to_be_deleted[m][m1]]]
|
|
|
|
peaks_new_tot = []
|
|
|
|
peaks_new_tot=[]
|
|
|
|
for i1 in peaks_new:
|
|
|
|
for i1 in peaks_new:
|
|
|
|
peaks_new_tot.append(i1)
|
|
|
|
peaks_new_tot.append(i1)
|
|
|
|
for i1 in peaks_new_extra:
|
|
|
|
for i1 in peaks_new_extra:
|
|
|
|
peaks_new_tot.append(i1)
|
|
|
|
peaks_new_tot.append(i1)
|
|
|
|
peaks_new_tot = np.sort(peaks_new_tot)
|
|
|
|
peaks_new_tot=np.sort(peaks_new_tot)
|
|
|
|
|
|
|
|
|
|
|
|
##plt.plot(y_padded_up_to_down_padded)
|
|
|
|
##plt.plot(y_padded_up_to_down_padded)
|
|
|
|
##plt.plot(peaks_neg,y_padded_up_to_down_padded[peaks_neg],'*')
|
|
|
|
##plt.plot(peaks_neg,y_padded_up_to_down_padded[peaks_neg],'*')
|
|
|
@ -217,19 +343,22 @@ def seperate_lines(img_patch, contour_text_interest, thetha, x_help, y_help):
|
|
|
|
##plt.plot(peaks_new_tot,y_padded_smoothed[peaks_new_tot],'*')
|
|
|
|
##plt.plot(peaks_new_tot,y_padded_smoothed[peaks_new_tot],'*')
|
|
|
|
##plt.show()
|
|
|
|
##plt.show()
|
|
|
|
|
|
|
|
|
|
|
|
peaks = peaks_new_tot[:]
|
|
|
|
peaks=peaks_new_tot[:]
|
|
|
|
peaks_neg = peaks_neg_new[:]
|
|
|
|
peaks_neg=peaks_neg_new[:]
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
else:
|
|
|
|
else:
|
|
|
|
peaks_new_tot = peaks[:]
|
|
|
|
peaks_new_tot=peaks[:]
|
|
|
|
peaks = peaks_new_tot[:]
|
|
|
|
peaks=peaks_new_tot[:]
|
|
|
|
peaks_neg = peaks_neg_new[:]
|
|
|
|
peaks_neg=peaks_neg_new[:]
|
|
|
|
except:
|
|
|
|
except:
|
|
|
|
pass
|
|
|
|
pass
|
|
|
|
|
|
|
|
|
|
|
|
mean_value_of_peaks = np.mean(y_padded_smoothed[peaks])
|
|
|
|
|
|
|
|
std_value_of_peaks = np.std(y_padded_smoothed[peaks])
|
|
|
|
mean_value_of_peaks=np.mean(y_padded_smoothed[peaks])
|
|
|
|
peaks_values = y_padded_smoothed[peaks]
|
|
|
|
std_value_of_peaks=np.std(y_padded_smoothed[peaks])
|
|
|
|
|
|
|
|
peaks_values=y_padded_smoothed[peaks]
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
peaks_neg = peaks_neg - 20 - 20
|
|
|
|
peaks_neg = peaks_neg - 20 - 20
|
|
|
|
peaks = peaks - 20
|
|
|
|
peaks = peaks - 20
|
|
|
@ -242,41 +371,48 @@ def seperate_lines(img_patch, contour_text_interest, thetha, x_help, y_help):
|
|
|
|
if peaks[jj] > len(x) - 1:
|
|
|
|
if peaks[jj] > len(x) - 1:
|
|
|
|
peaks[jj] = len(x) - 1
|
|
|
|
peaks[jj] = len(x) - 1
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
textline_boxes = []
|
|
|
|
textline_boxes = []
|
|
|
|
textline_boxes_rot = []
|
|
|
|
textline_boxes_rot = []
|
|
|
|
|
|
|
|
|
|
|
|
if len(peaks_neg) == len(peaks) + 1 and len(peaks) >= 3:
|
|
|
|
if len(peaks_neg) == len(peaks) + 1 and len(peaks) >= 3:
|
|
|
|
for jj in range(len(peaks)):
|
|
|
|
for jj in range(len(peaks)):
|
|
|
|
|
|
|
|
|
|
|
|
if jj == (len(peaks) - 1):
|
|
|
|
if jj==(len(peaks)-1):
|
|
|
|
dis_to_next_up = abs(peaks[jj] - peaks_neg[jj])
|
|
|
|
dis_to_next_up = abs(peaks[jj] - peaks_neg[jj])
|
|
|
|
dis_to_next_down = abs(peaks[jj] - peaks_neg[jj + 1])
|
|
|
|
dis_to_next_down = abs(peaks[jj] - peaks_neg[jj + 1])
|
|
|
|
|
|
|
|
|
|
|
|
if peaks_values[jj] > mean_value_of_peaks - std_value_of_peaks / 2.0:
|
|
|
|
if peaks_values[jj]>mean_value_of_peaks-std_value_of_peaks/2.:
|
|
|
|
point_up = peaks[jj] + first_nonzero - int(1.3 * dis_to_next_up) ##+int(dis_to_next_up*1./4.0)
|
|
|
|
point_up = peaks[jj] + first_nonzero - int(1.3 * dis_to_next_up) ##+int(dis_to_next_up*1./4.0)
|
|
|
|
point_down = y_max_cont - 1 ##peaks[jj] + first_nonzero + int(1.3 * dis_to_next_down) #point_up# np.max(y_cont)#peaks[jj] + first_nonzero + int(1.4 * dis_to_next_down) ###-int(dis_to_next_down*1./4.0)
|
|
|
|
point_down =y_max_cont-1##peaks[jj] + first_nonzero + int(1.3 * dis_to_next_down) #point_up# np.max(y_cont)#peaks[jj] + first_nonzero + int(1.4 * dis_to_next_down) ###-int(dis_to_next_down*1./4.0)
|
|
|
|
else:
|
|
|
|
else:
|
|
|
|
point_up = peaks[jj] + first_nonzero - int(1.4 * dis_to_next_up) ##+int(dis_to_next_up*1./4.0)
|
|
|
|
point_up = peaks[jj] + first_nonzero - int(1.4 * dis_to_next_up) ##+int(dis_to_next_up*1./4.0)
|
|
|
|
point_down = y_max_cont - 1 ##peaks[jj] + first_nonzero + int(1.6 * dis_to_next_down) #point_up# np.max(y_cont)#peaks[jj] + first_nonzero + int(1.4 * dis_to_next_down) ###-int(dis_to_next_down*1./4.0)
|
|
|
|
point_down =y_max_cont-1##peaks[jj] + first_nonzero + int(1.6 * dis_to_next_down) #point_up# np.max(y_cont)#peaks[jj] + first_nonzero + int(1.4 * dis_to_next_down) ###-int(dis_to_next_down*1./4.0)
|
|
|
|
|
|
|
|
|
|
|
|
point_down_narrow = peaks[jj] + first_nonzero + int(1.4 * dis_to_next_down) ###-int(dis_to_next_down*1./2)
|
|
|
|
point_down_narrow = peaks[jj] + first_nonzero + int(
|
|
|
|
|
|
|
|
1.4 * dis_to_next_down) ###-int(dis_to_next_down*1./2)
|
|
|
|
else:
|
|
|
|
else:
|
|
|
|
dis_to_next_up = abs(peaks[jj] - peaks_neg[jj])
|
|
|
|
dis_to_next_up = abs(peaks[jj] - peaks_neg[jj])
|
|
|
|
dis_to_next_down = abs(peaks[jj] - peaks_neg[jj + 1])
|
|
|
|
dis_to_next_down = abs(peaks[jj] - peaks_neg[jj + 1])
|
|
|
|
|
|
|
|
|
|
|
|
if peaks_values[jj] > mean_value_of_peaks - std_value_of_peaks / 2.0:
|
|
|
|
if peaks_values[jj]>mean_value_of_peaks-std_value_of_peaks/2.:
|
|
|
|
point_up = peaks[jj] + first_nonzero - int(1.1 * dis_to_next_up) ##+int(dis_to_next_up*1./4.0)
|
|
|
|
point_up = peaks[jj] + first_nonzero - int(1.1 * dis_to_next_up) ##+int(dis_to_next_up*1./4.0)
|
|
|
|
point_down = peaks[jj] + first_nonzero + int(1.1 * dis_to_next_down) ###-int(dis_to_next_down*1./4.0)
|
|
|
|
point_down = peaks[jj] + first_nonzero + int(1.1 * dis_to_next_down) ###-int(dis_to_next_down*1./4.0)
|
|
|
|
else:
|
|
|
|
else:
|
|
|
|
point_up = peaks[jj] + first_nonzero - int(1.23 * dis_to_next_up) ##+int(dis_to_next_up*1./4.0)
|
|
|
|
point_up = peaks[jj] + first_nonzero - int(1.23 * dis_to_next_up) ##+int(dis_to_next_up*1./4.0)
|
|
|
|
point_down = peaks[jj] + first_nonzero + int(1.33 * dis_to_next_down) ###-int(dis_to_next_down*1./4.0)
|
|
|
|
point_down = peaks[jj] + first_nonzero + int(1.33 * dis_to_next_down) ###-int(dis_to_next_down*1./4.0)
|
|
|
|
|
|
|
|
|
|
|
|
point_down_narrow = peaks[jj] + first_nonzero + int(1.1 * dis_to_next_down) ###-int(dis_to_next_down*1./2)
|
|
|
|
point_down_narrow = peaks[jj] + first_nonzero + int(
|
|
|
|
|
|
|
|
1.1 * dis_to_next_down) ###-int(dis_to_next_down*1./2)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
if point_down_narrow >= img_patch.shape[0]:
|
|
|
|
if point_down_narrow >= img_patch.shape[0]:
|
|
|
|
point_down_narrow = img_patch.shape[0] - 2
|
|
|
|
point_down_narrow = img_patch.shape[0] - 2
|
|
|
|
|
|
|
|
|
|
|
|
distances = [cv2.pointPolygonTest(contour_text_interest_copy, (xv[mj], peaks[jj] + first_nonzero), True) for mj in range(len(xv))]
|
|
|
|
distances = [cv2.pointPolygonTest(contour_text_interest_copy, (xv[mj], peaks[jj] + first_nonzero), True)
|
|
|
|
|
|
|
|
for mj in range(len(xv))]
|
|
|
|
distances = np.array(distances)
|
|
|
|
distances = np.array(distances)
|
|
|
|
|
|
|
|
|
|
|
|
xvinside = xv[distances >= 0]
|
|
|
|
xvinside = xv[distances >= 0]
|
|
|
@ -298,35 +434,47 @@ def seperate_lines(img_patch, contour_text_interest, thetha, x_help, y_help):
|
|
|
|
x_max_rot3, point_down_rot3 = p3[0] + x_d, p3[1] + y_d
|
|
|
|
x_max_rot3, point_down_rot3 = p3[0] + x_d, p3[1] + y_d
|
|
|
|
x_min_rot4, point_down_rot4 = p4[0] + x_d, p4[1] + y_d
|
|
|
|
x_min_rot4, point_down_rot4 = p4[0] + x_d, p4[1] + y_d
|
|
|
|
|
|
|
|
|
|
|
|
if x_min_rot1 < 0:
|
|
|
|
if x_min_rot1<0:
|
|
|
|
x_min_rot1 = 0
|
|
|
|
x_min_rot1=0
|
|
|
|
if x_min_rot4 < 0:
|
|
|
|
if x_min_rot4<0:
|
|
|
|
x_min_rot4 = 0
|
|
|
|
x_min_rot4=0
|
|
|
|
if point_up_rot1 < 0:
|
|
|
|
if point_up_rot1<0:
|
|
|
|
point_up_rot1 = 0
|
|
|
|
point_up_rot1=0
|
|
|
|
if point_up_rot2 < 0:
|
|
|
|
if point_up_rot2<0:
|
|
|
|
point_up_rot2 = 0
|
|
|
|
point_up_rot2=0
|
|
|
|
|
|
|
|
|
|
|
|
x_min_rot1 = x_min_rot1 - x_help
|
|
|
|
|
|
|
|
x_max_rot2 = x_max_rot2 - x_help
|
|
|
|
|
|
|
|
x_max_rot3 = x_max_rot3 - x_help
|
|
|
|
|
|
|
|
x_min_rot4 = x_min_rot4 - x_help
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
point_up_rot1 = point_up_rot1 - y_help
|
|
|
|
|
|
|
|
point_up_rot2 = point_up_rot2 - y_help
|
|
|
|
|
|
|
|
point_down_rot3 = point_down_rot3 - y_help
|
|
|
|
|
|
|
|
point_down_rot4 = point_down_rot4 - y_help
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
textline_boxes_rot.append(np.array([[int(x_min_rot1), int(point_up_rot1)], [int(x_max_rot2), int(point_up_rot2)], [int(x_max_rot3), int(point_down_rot3)], [int(x_min_rot4), int(point_down_rot4)]]))
|
|
|
|
x_min_rot1=x_min_rot1-x_help
|
|
|
|
|
|
|
|
x_max_rot2=x_max_rot2-x_help
|
|
|
|
|
|
|
|
x_max_rot3=x_max_rot3-x_help
|
|
|
|
|
|
|
|
x_min_rot4=x_min_rot4-x_help
|
|
|
|
|
|
|
|
|
|
|
|
textline_boxes.append(np.array([[int(x_min), int(point_up)], [int(x_max), int(point_up)], [int(x_max), int(point_down)], [int(x_min), int(point_down)]]))
|
|
|
|
point_up_rot1=point_up_rot1-y_help
|
|
|
|
|
|
|
|
point_up_rot2=point_up_rot2-y_help
|
|
|
|
|
|
|
|
point_down_rot3=point_down_rot3-y_help
|
|
|
|
|
|
|
|
point_down_rot4=point_down_rot4-y_help
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
textline_boxes_rot.append(np.array([[int(x_min_rot1), int(point_up_rot1)],
|
|
|
|
|
|
|
|
[int(x_max_rot2), int(point_up_rot2)],
|
|
|
|
|
|
|
|
[int(x_max_rot3), int(point_down_rot3)],
|
|
|
|
|
|
|
|
[int(x_min_rot4), int(point_down_rot4)]]))
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
textline_boxes.append(np.array([[int(x_min), int(point_up)],
|
|
|
|
|
|
|
|
[int(x_max), int(point_up)],
|
|
|
|
|
|
|
|
[int(x_max), int(point_down)],
|
|
|
|
|
|
|
|
[int(x_min), int(point_down)]]))
|
|
|
|
|
|
|
|
|
|
|
|
elif len(peaks) < 1:
|
|
|
|
elif len(peaks) < 1:
|
|
|
|
pass
|
|
|
|
pass
|
|
|
|
|
|
|
|
|
|
|
|
elif len(peaks) == 1:
|
|
|
|
elif len(peaks) == 1:
|
|
|
|
|
|
|
|
|
|
|
|
distances = [cv2.pointPolygonTest(contour_text_interest_copy, (xv[mj], peaks[0] + first_nonzero), True) for mj in range(len(xv))]
|
|
|
|
distances = [cv2.pointPolygonTest(contour_text_interest_copy, (xv[mj], peaks[0] + first_nonzero), True)
|
|
|
|
|
|
|
|
for mj in range(len(xv))]
|
|
|
|
distances = np.array(distances)
|
|
|
|
distances = np.array(distances)
|
|
|
|
|
|
|
|
|
|
|
|
xvinside = xv[distances >= 0]
|
|
|
|
xvinside = xv[distances >= 0]
|
|
|
@ -337,8 +485,8 @@ def seperate_lines(img_patch, contour_text_interest, thetha, x_help, y_help):
|
|
|
|
else:
|
|
|
|
else:
|
|
|
|
x_min = np.min(xvinside) # max(x_min_interest,x_min_cont)
|
|
|
|
x_min = np.min(xvinside) # max(x_min_interest,x_min_cont)
|
|
|
|
x_max = np.max(xvinside) # min(x_max_interest,x_max_cont)
|
|
|
|
x_max = np.max(xvinside) # min(x_max_interest,x_max_cont)
|
|
|
|
# x_min = x_min_cont
|
|
|
|
#x_min = x_min_cont
|
|
|
|
# x_max = x_max_cont
|
|
|
|
#x_max = x_max_cont
|
|
|
|
|
|
|
|
|
|
|
|
y_min = y_min_cont
|
|
|
|
y_min = y_min_cont
|
|
|
|
y_max = y_max_cont
|
|
|
|
y_max = y_max_cont
|
|
|
@ -353,44 +501,61 @@ def seperate_lines(img_patch, contour_text_interest, thetha, x_help, y_help):
|
|
|
|
x_max_rot3, point_down_rot3 = p3[0] + x_d, p3[1] + y_d
|
|
|
|
x_max_rot3, point_down_rot3 = p3[0] + x_d, p3[1] + y_d
|
|
|
|
x_min_rot4, point_down_rot4 = p4[0] + x_d, p4[1] + y_d
|
|
|
|
x_min_rot4, point_down_rot4 = p4[0] + x_d, p4[1] + y_d
|
|
|
|
|
|
|
|
|
|
|
|
if x_min_rot1 < 0:
|
|
|
|
|
|
|
|
x_min_rot1 = 0
|
|
|
|
|
|
|
|
if x_min_rot4 < 0:
|
|
|
|
|
|
|
|
x_min_rot4 = 0
|
|
|
|
|
|
|
|
if point_up_rot1 < 0:
|
|
|
|
|
|
|
|
point_up_rot1 = 0
|
|
|
|
|
|
|
|
if point_up_rot2 < 0:
|
|
|
|
|
|
|
|
point_up_rot2 = 0
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
x_min_rot1 = x_min_rot1 - x_help
|
|
|
|
if x_min_rot1<0:
|
|
|
|
x_max_rot2 = x_max_rot2 - x_help
|
|
|
|
x_min_rot1=0
|
|
|
|
x_max_rot3 = x_max_rot3 - x_help
|
|
|
|
if x_min_rot4<0:
|
|
|
|
x_min_rot4 = x_min_rot4 - x_help
|
|
|
|
x_min_rot4=0
|
|
|
|
|
|
|
|
if point_up_rot1<0:
|
|
|
|
|
|
|
|
point_up_rot1=0
|
|
|
|
|
|
|
|
if point_up_rot2<0:
|
|
|
|
|
|
|
|
point_up_rot2=0
|
|
|
|
|
|
|
|
|
|
|
|
point_up_rot1 = point_up_rot1 - y_help
|
|
|
|
|
|
|
|
point_up_rot2 = point_up_rot2 - y_help
|
|
|
|
|
|
|
|
point_down_rot3 = point_down_rot3 - y_help
|
|
|
|
|
|
|
|
point_down_rot4 = point_down_rot4 - y_help
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
textline_boxes_rot.append(np.array([[int(x_min_rot1), int(point_up_rot1)], [int(x_max_rot2), int(point_up_rot2)], [int(x_max_rot3), int(point_down_rot3)], [int(x_min_rot4), int(point_down_rot4)]]))
|
|
|
|
x_min_rot1=x_min_rot1-x_help
|
|
|
|
|
|
|
|
x_max_rot2=x_max_rot2-x_help
|
|
|
|
|
|
|
|
x_max_rot3=x_max_rot3-x_help
|
|
|
|
|
|
|
|
x_min_rot4=x_min_rot4-x_help
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
point_up_rot1=point_up_rot1-y_help
|
|
|
|
|
|
|
|
point_up_rot2=point_up_rot2-y_help
|
|
|
|
|
|
|
|
point_down_rot3=point_down_rot3-y_help
|
|
|
|
|
|
|
|
point_down_rot4=point_down_rot4-y_help
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
textline_boxes_rot.append(np.array([[int(x_min_rot1), int(point_up_rot1)],
|
|
|
|
|
|
|
|
[int(x_max_rot2), int(point_up_rot2)],
|
|
|
|
|
|
|
|
[int(x_max_rot3), int(point_down_rot3)],
|
|
|
|
|
|
|
|
[int(x_min_rot4), int(point_down_rot4)]]))
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
textline_boxes.append(np.array([[int(x_min), int(y_min)],
|
|
|
|
|
|
|
|
[int(x_max), int(y_min)],
|
|
|
|
|
|
|
|
[int(x_max), int(y_max)],
|
|
|
|
|
|
|
|
[int(x_min), int(y_max)]]))
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
textline_boxes.append(np.array([[int(x_min), int(y_min)], [int(x_max), int(y_min)], [int(x_max), int(y_max)], [int(x_min), int(y_max)]]))
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
elif len(peaks) == 2:
|
|
|
|
elif len(peaks) == 2:
|
|
|
|
dis_to_next = np.abs(peaks[1] - peaks[0])
|
|
|
|
dis_to_next = np.abs(peaks[1] - peaks[0])
|
|
|
|
for jj in range(len(peaks)):
|
|
|
|
for jj in range(len(peaks)):
|
|
|
|
if jj == 0:
|
|
|
|
if jj == 0:
|
|
|
|
point_up = 0 # peaks[jj] + first_nonzero - int(1. / 1.7 * dis_to_next)
|
|
|
|
point_up = 0#peaks[jj] + first_nonzero - int(1. / 1.7 * dis_to_next)
|
|
|
|
if point_up < 0:
|
|
|
|
if point_up < 0:
|
|
|
|
point_up = 1
|
|
|
|
point_up = 1
|
|
|
|
point_down = peaks[jj] + first_nonzero + int(1.0 / 1.8 * dis_to_next)
|
|
|
|
point_down = peaks_neg[1] + first_nonzero# peaks[jj] + first_nonzero + int(1. / 1.8 * dis_to_next)
|
|
|
|
elif jj == 1:
|
|
|
|
elif jj == 1:
|
|
|
|
point_down = peaks[jj] + first_nonzero + int(1.0 / 1.8 * dis_to_next)
|
|
|
|
point_down =peaks_neg[1] + first_nonzero# peaks[jj] + first_nonzero + int(1. / 1.8 * dis_to_next)
|
|
|
|
if point_down >= img_patch.shape[0]:
|
|
|
|
if point_down >= img_patch.shape[0]:
|
|
|
|
point_down = img_patch.shape[0] - 2
|
|
|
|
point_down = img_patch.shape[0] - 2
|
|
|
|
point_up = peaks[jj] + first_nonzero - int(1.0 / 1.8 * dis_to_next)
|
|
|
|
try:
|
|
|
|
|
|
|
|
point_up = peaks_neg[2] + first_nonzero#peaks[jj] + first_nonzero - int(1. / 1.8 * dis_to_next)
|
|
|
|
|
|
|
|
except:
|
|
|
|
|
|
|
|
point_up =peaks[jj] + first_nonzero - int(1. / 1.8 * dis_to_next)
|
|
|
|
|
|
|
|
|
|
|
|
distances = [cv2.pointPolygonTest(contour_text_interest_copy, (xv[mj], peaks[jj] + first_nonzero), True) for mj in range(len(xv))]
|
|
|
|
distances = [cv2.pointPolygonTest(contour_text_interest_copy, (xv[mj], peaks[jj] + first_nonzero), True)
|
|
|
|
|
|
|
|
for mj in range(len(xv))]
|
|
|
|
distances = np.array(distances)
|
|
|
|
distances = np.array(distances)
|
|
|
|
|
|
|
|
|
|
|
|
xvinside = xv[distances >= 0]
|
|
|
|
xvinside = xv[distances >= 0]
|
|
|
@ -412,55 +577,67 @@ def seperate_lines(img_patch, contour_text_interest, thetha, x_help, y_help):
|
|
|
|
x_max_rot3, point_down_rot3 = p3[0] + x_d, p3[1] + y_d
|
|
|
|
x_max_rot3, point_down_rot3 = p3[0] + x_d, p3[1] + y_d
|
|
|
|
x_min_rot4, point_down_rot4 = p4[0] + x_d, p4[1] + y_d
|
|
|
|
x_min_rot4, point_down_rot4 = p4[0] + x_d, p4[1] + y_d
|
|
|
|
|
|
|
|
|
|
|
|
if x_min_rot1 < 0:
|
|
|
|
|
|
|
|
x_min_rot1 = 0
|
|
|
|
|
|
|
|
if x_min_rot4 < 0:
|
|
|
|
|
|
|
|
x_min_rot4 = 0
|
|
|
|
|
|
|
|
if point_up_rot1 < 0:
|
|
|
|
|
|
|
|
point_up_rot1 = 0
|
|
|
|
|
|
|
|
if point_up_rot2 < 0:
|
|
|
|
|
|
|
|
point_up_rot2 = 0
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
x_min_rot1 = x_min_rot1 - x_help
|
|
|
|
|
|
|
|
x_max_rot2 = x_max_rot2 - x_help
|
|
|
|
|
|
|
|
x_max_rot3 = x_max_rot3 - x_help
|
|
|
|
|
|
|
|
x_min_rot4 = x_min_rot4 - x_help
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
point_up_rot1 = point_up_rot1 - y_help
|
|
|
|
if x_min_rot1<0:
|
|
|
|
point_up_rot2 = point_up_rot2 - y_help
|
|
|
|
x_min_rot1=0
|
|
|
|
point_down_rot3 = point_down_rot3 - y_help
|
|
|
|
if x_min_rot4<0:
|
|
|
|
point_down_rot4 = point_down_rot4 - y_help
|
|
|
|
x_min_rot4=0
|
|
|
|
|
|
|
|
if point_up_rot1<0:
|
|
|
|
|
|
|
|
point_up_rot1=0
|
|
|
|
|
|
|
|
if point_up_rot2<0:
|
|
|
|
|
|
|
|
point_up_rot2=0
|
|
|
|
|
|
|
|
|
|
|
|
textline_boxes_rot.append(np.array([[int(x_min_rot1), int(point_up_rot1)], [int(x_max_rot2), int(point_up_rot2)], [int(x_max_rot3), int(point_down_rot3)], [int(x_min_rot4), int(point_down_rot4)]]))
|
|
|
|
x_min_rot1=x_min_rot1-x_help
|
|
|
|
|
|
|
|
x_max_rot2=x_max_rot2-x_help
|
|
|
|
|
|
|
|
x_max_rot3=x_max_rot3-x_help
|
|
|
|
|
|
|
|
x_min_rot4=x_min_rot4-x_help
|
|
|
|
|
|
|
|
|
|
|
|
textline_boxes.append(np.array([[int(x_min), int(point_up)], [int(x_max), int(point_up)], [int(x_max), int(point_down)], [int(x_min), int(point_down)]]))
|
|
|
|
point_up_rot1=point_up_rot1-y_help
|
|
|
|
|
|
|
|
point_up_rot2=point_up_rot2-y_help
|
|
|
|
|
|
|
|
point_down_rot3=point_down_rot3-y_help
|
|
|
|
|
|
|
|
point_down_rot4=point_down_rot4-y_help
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
textline_boxes_rot.append(np.array([[int(x_min_rot1), int(point_up_rot1)],
|
|
|
|
|
|
|
|
[int(x_max_rot2), int(point_up_rot2)],
|
|
|
|
|
|
|
|
[int(x_max_rot3), int(point_down_rot3)],
|
|
|
|
|
|
|
|
[int(x_min_rot4), int(point_down_rot4)]]))
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
textline_boxes.append(np.array([[int(x_min), int(point_up)],
|
|
|
|
|
|
|
|
[int(x_max), int(point_up)],
|
|
|
|
|
|
|
|
[int(x_max), int(point_down)],
|
|
|
|
|
|
|
|
[int(x_min), int(point_down)]]))
|
|
|
|
else:
|
|
|
|
else:
|
|
|
|
for jj in range(len(peaks)):
|
|
|
|
for jj in range(len(peaks)):
|
|
|
|
|
|
|
|
|
|
|
|
if jj == 0:
|
|
|
|
if jj == 0:
|
|
|
|
dis_to_next = peaks[jj + 1] - peaks[jj]
|
|
|
|
dis_to_next = peaks[jj + 1] - peaks[jj]
|
|
|
|
# point_up=peaks[jj]+first_nonzero-int(1./3*dis_to_next)
|
|
|
|
# point_up=peaks[jj]+first_nonzero-int(1./3*dis_to_next)
|
|
|
|
point_up = peaks[jj] + first_nonzero - int(1.0 / 1.9 * dis_to_next)
|
|
|
|
point_up = peaks[jj] + first_nonzero - int(1. / 1.9 * dis_to_next)
|
|
|
|
if point_up < 0:
|
|
|
|
if point_up < 0:
|
|
|
|
point_up = 1
|
|
|
|
point_up = 1
|
|
|
|
# point_down=peaks[jj]+first_nonzero+int(1./3*dis_to_next)
|
|
|
|
# point_down=peaks[jj]+first_nonzero+int(1./3*dis_to_next)
|
|
|
|
point_down = peaks[jj] + first_nonzero + int(1.0 / 1.9 * dis_to_next)
|
|
|
|
point_down = peaks[jj] + first_nonzero + int(1. / 1.9 * dis_to_next)
|
|
|
|
elif jj == len(peaks) - 1:
|
|
|
|
elif jj == len(peaks) - 1:
|
|
|
|
dis_to_next = peaks[jj] - peaks[jj - 1]
|
|
|
|
dis_to_next = peaks[jj] - peaks[jj - 1]
|
|
|
|
# point_down=peaks[jj]+first_nonzero+int(1./3*dis_to_next)
|
|
|
|
# point_down=peaks[jj]+first_nonzero+int(1./3*dis_to_next)
|
|
|
|
point_down = peaks[jj] + first_nonzero + int(1.0 / 1.7 * dis_to_next)
|
|
|
|
point_down = peaks[jj] + first_nonzero + int(1. / 1.7 * dis_to_next)
|
|
|
|
if point_down >= img_patch.shape[0]:
|
|
|
|
if point_down >= img_patch.shape[0]:
|
|
|
|
point_down = img_patch.shape[0] - 2
|
|
|
|
point_down = img_patch.shape[0] - 2
|
|
|
|
# point_up=peaks[jj]+first_nonzero-int(1./3*dis_to_next)
|
|
|
|
# point_up=peaks[jj]+first_nonzero-int(1./3*dis_to_next)
|
|
|
|
point_up = peaks[jj] + first_nonzero - int(1.0 / 1.9 * dis_to_next)
|
|
|
|
point_up = peaks[jj] + first_nonzero - int(1. / 1.9 * dis_to_next)
|
|
|
|
else:
|
|
|
|
else:
|
|
|
|
dis_to_next_down = peaks[jj + 1] - peaks[jj]
|
|
|
|
dis_to_next_down = peaks[jj + 1] - peaks[jj]
|
|
|
|
dis_to_next_up = peaks[jj] - peaks[jj - 1]
|
|
|
|
dis_to_next_up = peaks[jj] - peaks[jj - 1]
|
|
|
|
|
|
|
|
|
|
|
|
point_up = peaks[jj] + first_nonzero - int(1.0 / 1.9 * dis_to_next_up)
|
|
|
|
point_up = peaks[jj] + first_nonzero - int(1. / 1.9 * dis_to_next_up)
|
|
|
|
point_down = peaks[jj] + first_nonzero + int(1.0 / 1.9 * dis_to_next_down)
|
|
|
|
point_down = peaks[jj] + first_nonzero + int(1. / 1.9 * dis_to_next_down)
|
|
|
|
|
|
|
|
|
|
|
|
distances = [cv2.pointPolygonTest(contour_text_interest_copy, (xv[mj], peaks[jj] + first_nonzero), True) for mj in range(len(xv))]
|
|
|
|
distances = [cv2.pointPolygonTest(contour_text_interest_copy, (xv[mj], peaks[jj] + first_nonzero), True)
|
|
|
|
|
|
|
|
for mj in range(len(xv))]
|
|
|
|
distances = np.array(distances)
|
|
|
|
distances = np.array(distances)
|
|
|
|
|
|
|
|
|
|
|
|
xvinside = xv[distances >= 0]
|
|
|
|
xvinside = xv[distances >= 0]
|
|
|
@ -482,28 +659,39 @@ def seperate_lines(img_patch, contour_text_interest, thetha, x_help, y_help):
|
|
|
|
x_max_rot3, point_down_rot3 = p3[0] + x_d, p3[1] + y_d
|
|
|
|
x_max_rot3, point_down_rot3 = p3[0] + x_d, p3[1] + y_d
|
|
|
|
x_min_rot4, point_down_rot4 = p4[0] + x_d, p4[1] + y_d
|
|
|
|
x_min_rot4, point_down_rot4 = p4[0] + x_d, p4[1] + y_d
|
|
|
|
|
|
|
|
|
|
|
|
if x_min_rot1 < 0:
|
|
|
|
if x_min_rot1<0:
|
|
|
|
x_min_rot1 = 0
|
|
|
|
x_min_rot1=0
|
|
|
|
if x_min_rot4 < 0:
|
|
|
|
if x_min_rot4<0:
|
|
|
|
x_min_rot4 = 0
|
|
|
|
x_min_rot4=0
|
|
|
|
if point_up_rot1 < 0:
|
|
|
|
if point_up_rot1<0:
|
|
|
|
point_up_rot1 = 0
|
|
|
|
point_up_rot1=0
|
|
|
|
if point_up_rot2 < 0:
|
|
|
|
if point_up_rot2<0:
|
|
|
|
point_up_rot2 = 0
|
|
|
|
point_up_rot2=0
|
|
|
|
|
|
|
|
|
|
|
|
x_min_rot1 = x_min_rot1 - x_help
|
|
|
|
|
|
|
|
x_max_rot2 = x_max_rot2 - x_help
|
|
|
|
|
|
|
|
x_max_rot3 = x_max_rot3 - x_help
|
|
|
|
|
|
|
|
x_min_rot4 = x_min_rot4 - x_help
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
point_up_rot1 = point_up_rot1 - y_help
|
|
|
|
x_min_rot1=x_min_rot1-x_help
|
|
|
|
point_up_rot2 = point_up_rot2 - y_help
|
|
|
|
x_max_rot2=x_max_rot2-x_help
|
|
|
|
point_down_rot3 = point_down_rot3 - y_help
|
|
|
|
x_max_rot3=x_max_rot3-x_help
|
|
|
|
point_down_rot4 = point_down_rot4 - y_help
|
|
|
|
x_min_rot4=x_min_rot4-x_help
|
|
|
|
|
|
|
|
|
|
|
|
textline_boxes_rot.append(np.array([[int(x_min_rot1), int(point_up_rot1)], [int(x_max_rot2), int(point_up_rot2)], [int(x_max_rot3), int(point_down_rot3)], [int(x_min_rot4), int(point_down_rot4)]]))
|
|
|
|
point_up_rot1=point_up_rot1-y_help
|
|
|
|
|
|
|
|
point_up_rot2=point_up_rot2-y_help
|
|
|
|
|
|
|
|
point_down_rot3=point_down_rot3-y_help
|
|
|
|
|
|
|
|
point_down_rot4=point_down_rot4-y_help
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
textline_boxes_rot.append(np.array([[int(x_min_rot1), int(point_up_rot1)],
|
|
|
|
|
|
|
|
[int(x_max_rot2), int(point_up_rot2)],
|
|
|
|
|
|
|
|
[int(x_max_rot3), int(point_down_rot3)],
|
|
|
|
|
|
|
|
[int(x_min_rot4), int(point_down_rot4)]]))
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
textline_boxes.append(np.array([[int(x_min), int(point_up)],
|
|
|
|
|
|
|
|
[int(x_max), int(point_up)],
|
|
|
|
|
|
|
|
[int(x_max), int(point_down)],
|
|
|
|
|
|
|
|
[int(x_min), int(point_down)]]))
|
|
|
|
|
|
|
|
|
|
|
|
textline_boxes.append(np.array([[int(x_min), int(point_up)], [int(x_max), int(point_up)], [int(x_max), int(point_down)], [int(x_min), int(point_down)]]))
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
return peaks, textline_boxes_rot
|
|
|
|
return peaks, textline_boxes_rot
|
|
|
|
|
|
|
|
|
|
|
@ -1411,7 +1599,7 @@ def return_deskew_slop(img_patch_org, sigma_des, main_page=False, dir_of_all=Non
|
|
|
|
if main_page and dir_of_all is not None:
|
|
|
|
if main_page and dir_of_all is not None:
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
plt.figure(figsize=(70,40))
|
|
|
|
plt.figure(figsize=(80,40))
|
|
|
|
plt.rcParams['font.size']='50'
|
|
|
|
plt.rcParams['font.size']='50'
|
|
|
|
plt.subplot(1,2,1)
|
|
|
|
plt.subplot(1,2,1)
|
|
|
|
plt.imshow(img_patch_org)
|
|
|
|
plt.imshow(img_patch_org)
|
|
|
|