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fixing IndexError by reading order detection

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vahidrezanezhad 2024-11-18 10:15:19 +01:00
parent 5fa8ca46a4
commit d9f79c3404
1 changed files with 39 additions and 1 deletions
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38
src/eynollah/eynollah.py
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@ -2678,17 +2678,29 @@ class Eynollah:
try: try:
arg_text_con = [] arg_text_con = []
for ii in range(len(cx_text_only)): for ii in range(len(cx_text_only)):
check_if_textregion_located_in_a_box = False
for jj in range(len(boxes)): for jj in range(len(boxes)):
if (x_min_text_only[ii] + 80) >= boxes[jj][0] and (x_min_text_only[ii] + 80) < boxes[jj][1] and y_cor_x_min_main[ii] >= boxes[jj][2] and y_cor_x_min_main[ii] < boxes[jj][3]: if (x_min_text_only[ii] + 80) >= boxes[jj][0] and (x_min_text_only[ii] + 80) < boxes[jj][1] and y_cor_x_min_main[ii] >= boxes[jj][2] and y_cor_x_min_main[ii] < boxes[jj][3]:
arg_text_con.append(jj) arg_text_con.append(jj)
check_if_textregion_located_in_a_box = True
break break
if not check_if_textregion_located_in_a_box:
dists_tr_from_box = [math.sqrt((cx_text_only[ii] - boxes[jj][1]) ** 2 + (cy_text_only[ii] - boxes[jj][2]) ** 2) for jj in range(len(boxes))]
ind_min = np.argmin(dists_tr_from_box)
arg_text_con.append(ind_min)
args_contours = np.array(range(len(arg_text_con))) args_contours = np.array(range(len(arg_text_con)))
arg_text_con_h = [] arg_text_con_h = []
for ii in range(len(cx_text_only_h)): for ii in range(len(cx_text_only_h)):
check_if_textregion_located_in_a_box = False
for jj in range(len(boxes)): for jj in range(len(boxes)):
if (x_min_text_only_h[ii] + 80) >= boxes[jj][0] and (x_min_text_only_h[ii] + 80) < boxes[jj][1] and y_cor_x_min_main_h[ii] >= boxes[jj][2] and y_cor_x_min_main_h[ii] < boxes[jj][3]: if (x_min_text_only_h[ii] + 80) >= boxes[jj][0] and (x_min_text_only_h[ii] + 80) < boxes[jj][1] and y_cor_x_min_main_h[ii] >= boxes[jj][2] and y_cor_x_min_main_h[ii] < boxes[jj][3]:
arg_text_con_h.append(jj) arg_text_con_h.append(jj)
check_if_textregion_located_in_a_box = True
break break
if not check_if_textregion_located_in_a_box:
dists_tr_from_box = [math.sqrt((cx_text_only_h[ii] - boxes[jj][1]) ** 2 + (cy_text_only_h[ii] - boxes[jj][2]) ** 2) for jj in range(len(boxes))]
ind_min = np.argmin(dists_tr_from_box)
arg_text_con_h.append(ind_min)
args_contours_h = np.array(range(len(arg_text_con_h))) args_contours_h = np.array(range(len(arg_text_con_h)))
order_by_con_head = np.zeros(len(arg_text_con_h)) order_by_con_head = np.zeros(len(arg_text_con_h))
@ -2747,10 +2759,17 @@ class Eynollah:
self.logger.error(why) self.logger.error(why)
arg_text_con = [] arg_text_con = []
for ii in range(len(cx_text_only)): for ii in range(len(cx_text_only)):
check_if_textregion_located_in_a_box = False
for jj in range(len(boxes)): for jj in range(len(boxes)):
if cx_text_only[ii] >= boxes[jj][0] and cx_text_only[ii] < boxes[jj][1] and cy_text_only[ii] >= boxes[jj][2] and cy_text_only[ii] < boxes[jj][3]: # this is valid if the center of region identify in which box it is located if cx_text_only[ii] >= boxes[jj][0] and cx_text_only[ii] < boxes[jj][1] and cy_text_only[ii] >= boxes[jj][2] and cy_text_only[ii] < boxes[jj][3]: # this is valid if the center of region identify in which box it is located
arg_text_con.append(jj) arg_text_con.append(jj)
check_if_textregion_located_in_a_box = True
break break
if not check_if_textregion_located_in_a_box:
dists_tr_from_box = [math.sqrt((cx_text_only[ii] - boxes[jj][1]) ** 2 + (cy_text_only[ii] - boxes[jj][2]) ** 2) for jj in range(len(boxes))]
ind_min = np.argmin(dists_tr_from_box)
arg_text_con.append(ind_min)
args_contours = np.array(range(len(arg_text_con))) args_contours = np.array(range(len(arg_text_con)))
order_by_con_main = np.zeros(len(arg_text_con)) order_by_con_main = np.zeros(len(arg_text_con))
@ -2759,10 +2778,16 @@ class Eynollah:
arg_text_con_h = [] arg_text_con_h = []
for ii in range(len(cx_text_only_h)): for ii in range(len(cx_text_only_h)):
check_if_textregion_located_in_a_box = False
for jj in range(len(boxes)): for jj in range(len(boxes)):
if cx_text_only_h[ii] >= boxes[jj][0] and cx_text_only_h[ii] < boxes[jj][1] and cy_text_only_h[ii] >= boxes[jj][2] and cy_text_only_h[ii] < boxes[jj][3]: # this is valid if the center of region identify in which box it is located if cx_text_only_h[ii] >= boxes[jj][0] and cx_text_only_h[ii] < boxes[jj][1] and cy_text_only_h[ii] >= boxes[jj][2] and cy_text_only_h[ii] < boxes[jj][3]: # this is valid if the center of region identify in which box it is located
arg_text_con_h.append(jj) arg_text_con_h.append(jj)
check_if_textregion_located_in_a_box = True
break break
if not check_if_textregion_located_in_a_box:
dists_tr_from_box = [math.sqrt((cx_text_only_h[ii] - boxes[jj][1]) ** 2 + (cy_text_only_h[ii] - boxes[jj][2]) ** 2) for jj in range(len(boxes))]
ind_min = np.argmin(dists_tr_from_box)
arg_text_con_h.append(ind_min)
args_contours_h = np.array(range(len(arg_text_con_h))) args_contours_h = np.array(range(len(arg_text_con_h)))
order_by_con_head = np.zeros(len(arg_text_con_h)) order_by_con_head = np.zeros(len(arg_text_con_h))
@ -2814,6 +2839,7 @@ class Eynollah:
order_text_new = [] order_text_new = []
for iii in range(len(order_of_texts_tot)): for iii in range(len(order_of_texts_tot)):
order_text_new.append(np.where(np.array(order_of_texts_tot) == iii)[0][0]) order_text_new.append(np.where(np.array(order_of_texts_tot) == iii)[0][0])
return order_text_new, id_of_texts_tot return order_text_new, id_of_texts_tot
def do_order_of_regions_no_full_layout(self, contours_only_text_parent, contours_only_text_parent_h, boxes, textline_mask_tot): def do_order_of_regions_no_full_layout(self, contours_only_text_parent, contours_only_text_parent_h, boxes, textline_mask_tot):
@ -2823,10 +2849,16 @@ class Eynollah:
try: try:
arg_text_con = [] arg_text_con = []
for ii in range(len(cx_text_only)): for ii in range(len(cx_text_only)):
check_if_textregion_located_in_a_box = False
for jj in range(len(boxes)): for jj in range(len(boxes)):
if (x_min_text_only[ii] + 80) >= boxes[jj][0] and (x_min_text_only[ii] + 80) < boxes[jj][1] and y_cor_x_min_main[ii] >= boxes[jj][2] and y_cor_x_min_main[ii] < boxes[jj][3]: if (x_min_text_only[ii] + 80) >= boxes[jj][0] and (x_min_text_only[ii] + 80) < boxes[jj][1] and y_cor_x_min_main[ii] >= boxes[jj][2] and y_cor_x_min_main[ii] < boxes[jj][3]:
arg_text_con.append(jj) arg_text_con.append(jj)
check_if_textregion_located_in_a_box = True
break break
if not check_if_textregion_located_in_a_box:
dists_tr_from_box = [math.sqrt((cx_text_only[ii] - boxes[jj][1]) ** 2 + (cy_text_only[ii] - boxes[jj][2]) ** 2) for jj in range(len(boxes))]
ind_min = np.argmin(dists_tr_from_box)
arg_text_con.append(ind_min)
args_contours = np.array(range(len(arg_text_con))) args_contours = np.array(range(len(arg_text_con)))
order_by_con_main = np.zeros(len(arg_text_con)) order_by_con_main = np.zeros(len(arg_text_con))
@ -2868,10 +2900,16 @@ class Eynollah:
self.logger.error(why) self.logger.error(why)
arg_text_con = [] arg_text_con = []
for ii in range(len(cx_text_only)): for ii in range(len(cx_text_only)):
check_if_textregion_located_in_a_box = False
for jj in range(len(boxes)): for jj in range(len(boxes)):
if cx_text_only[ii] >= boxes[jj][0] and cx_text_only[ii] < boxes[jj][1] and cy_text_only[ii] >= boxes[jj][2] and cy_text_only[ii] < boxes[jj][3]: # this is valid if the center of region identify in which box it is located if cx_text_only[ii] >= boxes[jj][0] and cx_text_only[ii] < boxes[jj][1] and cy_text_only[ii] >= boxes[jj][2] and cy_text_only[ii] < boxes[jj][3]: # this is valid if the center of region identify in which box it is located
arg_text_con.append(jj) arg_text_con.append(jj)
check_if_textregion_located_in_a_box = True
break break
if not check_if_textregion_located_in_a_box:
dists_tr_from_box = [math.sqrt((cx_text_only[ii] - boxes[jj][1]) ** 2 + (cy_text_only[ii] - boxes[jj][2]) ** 2) for jj in range(len(boxes))]
ind_min = np.argmin(dists_tr_from_box)
arg_text_con.append(ind_min)
args_contours = np.array(range(len(arg_text_con))) args_contours = np.array(range(len(arg_text_con)))
order_by_con_main = np.zeros(len(arg_text_con)) order_by_con_main = np.zeros(len(arg_text_con))