validation_dict = data.create_set('data/test')
transcriptions_dict = data.get_transcriptions(folder_unprocessed + '/ground-truth/transcription.txt')
print("Number of element in the validation dict: %d" % len(validation_dict))
output_lines = []
for keyword in keywords:
data = keyword.split(',')
output_line = [data[0]]
score_dict = {}
image = training_dict[data[1]]
dtw_o = DTW(image)
i = 0
for key, image2 in validation_dict.items():
score = dtw_o.calculate_cost(image2)
score_dict[key] = score
i += 1
if i % 100 == 0:
print(i)
sorted_score = dict(sorted(score_dict.items(), key = operator.itemgetter(1)))
for name, score in sorted_score.items():
output_line.append(name)
output_line.append(score)
output_lines.append(output_line)
# for key, image in validation_dict.items():
# dtw_o = DTW(image)
# output_line = [key]
# score_dict = {}
# i = 0
