import cv2
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import numpy as np
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import pandas as pd
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if __name__ == '__main__':
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#img_test = cv2.imread('data/rtr-174-jarad-golgari-lich-lord.jpg')
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#img_test = cv2.imread('data/cn2-78-queen-marchesa.png')
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#img_test = cv2.imread('data/c16-143-burgeoning.png')
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#img_test = cv2.imread('data/handOfCards.jpg')
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img_test = cv2.imread('data/pro_tour_side.png')
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img_gray = cv2.cvtColor(img_test, cv2.COLOR_BGR2GRAY)
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_, img_thresh = cv2.threshold(img_gray, 80, 255, cv2.THRESH_BINARY)
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#cv2.imshow('original', img_test)
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cv2.imshow('threshold', img_thresh)
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kernel = np.ones((4, 4), np.uint8)
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img_dilate = cv2.dilate(img_thresh, kernel, iterations=1)
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#img_erode = cv2.erode(img_thresh, kernel, iterations=1)
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#img_open = cv2.morphologyEx(img_thresh, cv2.MORPH_OPEN, kernel)
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img_close = cv2.morphologyEx(img_thresh, cv2.MORPH_CLOSE, kernel)
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cv2.imshow('dilated', img_dilate)
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#cv2.imshow('eroded', img_erode)
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#cv2.imshow('opened', img_open)
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#cv2.imshow('closed', img_close)
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cv2.waitKey(0)
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