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Hi,
Could you review how you implement bounding boxes with deeplab?
I am using deeplab on coral and trying to do a similar thing, and I could not fully understand it reading through your code.
#boxes (ymin, xmin, ymax, xmax)
if BBOX:
map_labeled = measure.label(seg_map, connectivity=1)
for region in measure.regionprops(map_labeled):
if region.area > MINAREA:
box = region.bbox
p1 = (box[1], box[0])
p2 = (box[3], box[2])
cv2.rectangle(image, p1, p2, (77,255,9), 2)
vis_text(image,label_names[seg_map[tuple(region.coords[0])]],(p1[0],p1[1]-10))
cv2.imshow('segmentation',image)
Also, I only see this in run.py , not demo.py or test.py .
Thanks!
The text was updated successfully, but these errors were encountered:
Hi,
Could you review how you implement bounding boxes with deeplab?
I am using deeplab on coral and trying to do a similar thing, and I could not fully understand it reading through your code.
Also, I only see this in run.py , not demo.py or test.py .
Thanks!
The text was updated successfully, but these errors were encountered: