def _has_best_score(self, img):
hash_string = per_hash(img, convert=False)
difference = compare_hashes(hash_string, self.hash_original)
if (difference < self.best_score):
self.best_score = difference
return True
else:
return False
def _get_position_accuracy(self, right_position):
right_position = int(right_position)
start = right_position - ScreenDetector.SEARCHED_FRAMES
if (start <= 0):
start = 1
end = right_position + ScreenDetector.SEARCHED_FRAMES
best_fit = 1
best_fit_position = 0
hash2 = per_hash(self.best_image, convert=False)
for i in range(start, end):
pos = str(i)
if (i < 10):
pos = '0' + pos
img = cv2.imread('../../frames/{0}.jpg'.format(pos))
hash1 = per_hash(img, convert=True)
diff = compare_hashes(hash1, hash2)
if (diff < best_fit):
best_fit = diff
best_fit_position = i
return abs(right_position - best_fit_position)
