Currently I'm playing with Tensorflow Object Detection Api with my own dataset. I want to "hide" detection bounding boxes for every 5 frames. Thus, those bounding boxes will be displayed as "blinking" and they will get much more attention while using detection framework.
I've already messed up with visualization_utils.py and tried to have another method for visualizing bounding boxes for this purpose and used it with a while loop:
def draw_bounding_box_every5(image,
ymin,
xmin,
ymax,
xmax,
count,
use_normalized_coordinates=True):
#while True:
count+=1
draw = ImageDraw.Draw(image)
im_width, im_height = image.size
## with the "if" below, I'm aiming to have only 1 bounding box to display from every 5 frames.##
if(count %5 == 0):
if use_normalized_coordinates:
(left, right, top, bottom) = (xmin * im_width, xmax * im_width,
ymin * im_height, ymax * im_height)
else:
(left, right, top, bottom) = (xmin, xmax, ymin, ymax)
draw.line([(left, top), (left, bottom), (right, bottom),
(right, top), (left, top)])
print("line drawed")
If I don't use while True loop at the beginning, Tensorflow will continue to display detected objects as expected. But when I use that, it crashes. I guess creating an infinite loop before displaying bounding boxes disabling some callback functions when drawing. If anyone knows how to make blinking bounding boxes, i'm all ears.
Thanks in advance.
I gave up on this. Instead of getting rid of bounding boxes, I've just added another color into them. Bounding boxes are now changing color within a fixed time.