get_contoured_mask() is missing about deeplearning HOT 4 OPEN

Hi,
Thanks for heads up, working on it right now !
Best

from deeplearning.

In EDA - PART 2 CONTOUR LABELS notebook you may see the pipeline and functions for contoured mask target creation with visual plots. Hope this helps

from deeplearning.

It looks like
get_all_contoured_masks
calls another function, get_contoured_mask, which isn't defined.

def get_contoured_mask2d(mask):
    """For a single mask file get contour"""
    gray = cv2.cvtColor(mask, cv2.COLOR_BGR2GRAY)
    (t, binary) = cv2.threshold(gray, 0, 255, cv2.THRESH_BINARY)
    (_, contours, _) = cv2.findContours(binary.astype(np.uint8), 
                               cv2.RETR_EXTERNAL,cv2.CHAIN_APPROX_SIMPLE)
    contoured_mask = cv2.drawContours(mask, contours, -1, (0, 0, 255), 2)
    

    contoured_mask = get_contoured_mask(mask)

    contoured_mask2d = ((contoured_mask[:, :, 0]==1)*1) + ((contoured_mask[:, :, 2]==255)*2)
    return contoured_mask2d

I suspect
get_contoured_mask2d(mask):
just needs to be changed to
get_contoured_mask(mask):
...although for me I get a RecursionError: maximum recursion depth exceeded error when I proceed with that 🙂

from deeplearning.

Hi Just by commenting that part I was able to get result.

#contoured_mask = get_contoured_mask(mask)

Hope this helps!

from deeplearning.