# pre_proc = Cards.preprocces_image(frame)
subimagelist = extractimages.getimages(frame)
k = 0
width, height, channel = frame.shape
for i in range(len(subimagelist)):
# Find contour for kort stakken i billedet.
# subimage = getattr(image, 'img')
# cv2.imshow('hej', subimagelist[i])
pre_proc = Cards.preprocces_image(subimagelist[i], i)
cnts_sort, cnt_is_card, crns = Cards.find_cards(pre_proc)
if len(crns) != 0:
w, h, top1, top2, bot1, bot2 = Cards.CalculateCardPosition(
crns, subimagelist[i], oldintersections[i])
oldintersections[i][0] = bot1
oldintersections[i][1] = bot2
crns = [bot1, bot2, top1, top2]
# cv2.circle(frame, (int(top1[0]), int(top1[1])), 6, (0, 255, 255), -1)
# cv2.circle(frame, (int(top2[0]), int(top2[1])), 6, (0, 255, 255), -1)
# cv2.circle(frame, (int(bot1[0]), int(bot1[1])), 6, (0, 0, 255), -1)
# cv2.circle(frame, (int(bot2[0]), int(bot2[1])), 6, (0, 0, 255), -1)
cards[k] = Cards.preprocess_card(subimagelist[i], crns, w, h,
cards[k])
cards[k].best_rank_match, cards[k].best_suit_match, cards[k].rank_diff, \
cards[k].suit_diff = Cards.match_card(cards[k], train_ranks, train_suits)
# Draw center point and match result on the image.
# Vi bliver nødt til at shifte vores koordinater. De koordinater der kommer ud af vores cropped billeder
