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 # open segmentation and grayscale it
seg_im = Image.open(image_path)
seg_im = seg_im.convert('L')
seg_np = np.array(seg_im, dtype=np.uint8)

# create contours
thresh = 170
_, thresh = cv2.threshold(seg_np,thresh,255,0)
contours, _ = cv2.findContours(thresh,cv2.RETR_EXTERNAL,cv2.CHAIN_APPROX_NONE)

cont_im = np.zeros(seg_np.shape)
for contour in contours:
    cv2.drawContours(cont_im,contour.astype('int'),-1,(255,255,255),2)
cv2.imwrite(cont_path, cont_im)