Closed dimuthuanuraj closed 2 years ago
It can be done simply via the return values of the evaluateFromList function.
For example, you can try python trainSpeakerNet.py --eval --initial_model [your_model]
after changing the 193th line of the trainSpeakerNet.py file as follows:
193 sc, lab, tr = trainer.evaluateFromList(**vars(args))
194 file = open('scores.txt', 'w')
195 for i, (s, t) in enumerate(zip(sc, tr)):
196 file.write('%f %s\n'%(s, t))
197 file.close()
Thank you @msh9184
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