b9fc4e3a1b9dc019640164b57d49ecba56364bfa,src/main.py,,validate,#,85

Before Change

	model = Model(loader.charList, useBeamSearch)

	// save characters of model for inference mode
	open(fnCharList, "w").write(str().join(loader.charList))

	print("Validate NN")
	loader.validationSet()
	numOK = 0

After Change

		for i in range(len(recognized)):
			dist = editdistance.eval(recognized[i], batch.gtTexts[i])
			numErr += dist
			numTotal += len(batch.gtTexts[i])
			print("[OK]" if dist==0 else "[ERR:%d]" % dist,""" + batch.gtTexts[i] + """, "->", """ + recognized[i] + """)
	
	// print validation result
	charErrorRate = numErr / numTotal
	print("Character error rate: %f%%" % (charErrorRate*100.0))
	return charErrorRate


def infer(model, fnImg):

Instances