qurator-spk/sbb_pixelwise_segmentation
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visualising reaidng order- Overlaying on image is provided

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vahidrezanezhad 2025-03-17 20:09:48 +01:00
parent 822d9292de
commit 872e5b0b3a
2 changed files with 78 additions and 11 deletions
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36
generate_gt_for_training.py
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@ -231,8 +231,12 @@ def machine_based_reading_order(dir_xml, dir_out_modal_image, dir_out_classes, i
type=click.Path(exists=True, file_okay=False),
)
@click.option(
"--dir_imgs",
"-dimg",
help="directory where the overlayed plots will be written", )
def visualize_reading_order(dir_xml, dir_out):
def visualize_reading_order(dir_xml, dir_out, dir_imgs):
xml_files_ind = os.listdir(dir_xml)
@ -271,16 +275,26 @@ def visualize_reading_order(dir_xml, dir_out):
color = (0, 0, 255)
thickness = 20
img = np.zeros( (y_len,x_len,3) )
img = cv2.fillPoly(img, pts =co_text_all, color=(255,0,0))
for i in range(len(cx_ordered)-1):
start_point = (int(cx_ordered[i]), int(cy_ordered[i]))
end_point = (int(cx_ordered[i+1]), int(cy_ordered[i+1]))
img = cv2.arrowedLine(img, start_point, end_point,
color, thickness, tipLength = 0.03)
cv2.imwrite(os.path.join(dir_out, f_name+'.png'), img)
if dir_imgs:
layout = np.zeros( (y_len,x_len,3) )
layout = cv2.fillPoly(layout, pts =co_text_all, color=(1,1,1))
img_file_name_with_format = find_format_of_given_filename_in_dir(dir_imgs, f_name)
img = cv2.imread(os.path.join(dir_imgs, img_file_name_with_format))
overlayed = overlay_layout_on_image(layout, img, cx_ordered, cy_ordered, color, thickness)
cv2.imwrite(os.path.join(dir_out, f_name+'.png'), overlayed)
else:
img = np.zeros( (y_len,x_len,3) )
img = cv2.fillPoly(img, pts =co_text_all, color=(255,0,0))
for i in range(len(cx_ordered)-1):
start_point = (int(cx_ordered[i]), int(cy_ordered[i]))
end_point = (int(cx_ordered[i+1]), int(cy_ordered[i+1]))
img = cv2.arrowedLine(img, start_point, end_point,
color, thickness, tipLength = 0.03)
cv2.imwrite(os.path.join(dir_out, f_name+'.png'), img)