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displaying detexted text on an image is provided for trocr case

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vahidrezanezhad 2025-05-02 00:30:36 +02:00
parent e2da7a6239
commit 5c8084a397
1 changed files with 46 additions and 9 deletions
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src/eynollah/eynollah.py
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@ -259,7 +259,7 @@ class Eynollah:
self.model_region_dir_p_ens = dir_models + "/eynollah-main-regions-ensembled_20210425"
self.model_region_dir_p_ens_light = dir_models + "/eynollah-main-regions_20220314"
self.model_region_dir_p_ens_light_only_images_extraction = dir_models + "/eynollah-main-regions_20231127_672_org_ens_11_13_16_17_18"
self.model_reading_order_dir = dir_models + "/model_ens_reading_order_machine_based"
self.model_reading_order_dir = dir_models + "/model_mb_ro_aug_2"#"/model_ens_reading_order_machine_based"
#"/modelens_12sp_elay_0_3_4__3_6_n"
#"/modelens_earlylayout_12spaltige_2_3_5_6_7_8"
#"/modelens_early12_sp_2_3_5_6_7_8_9_10_12_14_15_16_18"
@ -1221,7 +1221,7 @@ class Eynollah:
seg_art[seg_art>0] =1
seg_line = label_p_pred[:,:,:,3]
seg_line[seg_line>0.1] =1
seg_line[seg_line>0.5] =1#seg_line[seg_line>0.1] =1
seg_line[seg_line<1] =0
seg[seg_art==1]=4
@ -3329,13 +3329,13 @@ class Eynollah:
img_poly[text_regions_p[:,:]==6] = 5
#temp
sep_mask = (img_poly==5)*1
sep_mask = sep_mask.astype('uint8')
sep_mask = cv2.erode(sep_mask, kernel=KERNEL, iterations=2)
img_poly[img_poly==5] = 0
img_poly[sep_mask==1] = 5
#
###temp
##sep_mask = (img_poly==5)*1
##sep_mask = sep_mask.astype('uint8')
##sep_mask = cv2.erode(sep_mask, kernel=KERNEL, iterations=2)
##img_poly[img_poly==5] = 0
##img_poly[sep_mask==1] = 5
###
img_header_and_sep = np.zeros((y_len,x_len), dtype='uint8')
if contours_only_text_parent_h:
@ -5081,6 +5081,12 @@ class Eynollah_ocr:
dir_xml = os.path.join(self.dir_xmls, file_name+'.xml')
out_file_ocr = os.path.join(self.dir_out, file_name+'.xml')
img = cv2.imread(dir_img)
if self.draw_texts_on_image:
out_image_with_text = os.path.join(self.dir_out_image_text, file_name+'.png')
image_text = Image.new("RGB", (img.shape[1], img.shape[0]), "white")
draw = ImageDraw.Draw(image_text)
total_bb_coordinates = []
##file_name = Path(dir_xmls).stem
tree1 = ET.parse(dir_xml, parser = ET.XMLParser(encoding="utf-8"))
@ -5111,6 +5117,9 @@ class Eynollah_ocr:
textline_coords = np.array( [ [ int(x.split(',')[0]) , int(x.split(',')[1]) ] for x in p_h] )
x,y,w,h = cv2.boundingRect(textline_coords)
if self.draw_texts_on_image:
total_bb_coordinates.append([x,y,w,h])
h2w_ratio = h/float(w)
img_poly_on_img = np.copy(img)
@ -5161,6 +5170,34 @@ class Eynollah_ocr:
#print(extracted_texts_merged, len(extracted_texts_merged))
unique_cropped_lines_region_indexer = np.unique(cropped_lines_region_indexer)
if self.draw_texts_on_image:
font_path = "NotoSans-Regular.ttf" # Make sure this file exists!
font = ImageFont.truetype(font_path, 40)
for indexer_text, bb_ind in enumerate(total_bb_coordinates):
x_bb = bb_ind[0]
y_bb = bb_ind[1]
w_bb = bb_ind[2]
h_bb = bb_ind[3]
font = self.fit_text_single_line(draw, extracted_texts_merged[indexer_text], font_path, w_bb, int(h_bb*0.4) )
##draw.rectangle([x_bb, y_bb, x_bb + w_bb, y_bb + h_bb], outline="red", width=2)
text_bbox = draw.textbbox((0, 0), extracted_texts_merged[indexer_text], font=font)
text_width = text_bbox[2] - text_bbox[0]
text_height = text_bbox[3] - text_bbox[1]
text_x = x_bb + (w_bb - text_width) // 2 # Center horizontally
text_y = y_bb + (h_bb - text_height) // 2 # Center vertically
# Draw the text
draw.text((text_x, text_y), extracted_texts_merged[indexer_text], fill="black", font=font)
image_text.save(out_image_with_text)
#print(len(unique_cropped_lines_region_indexer), 'unique_cropped_lines_region_indexer')
text_by_textregion = []