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First, thanks for all the available code for im2txt. I could make it work and generate some first captions. But now, I’m completely lost on a problem about fine-tuning im2txt, hoping it’s the good place to ask.
To summarize, I first fine-tuned an inception model using the method described in (https://github.com/tensorflow/models/tree/master/slim#Tuning). My training generates a bunch of files like model.meta, model.index and model.ckpt-xxx. I think the training is correct as I can evaluate it using eval_image_classifier.py available in slim git repo.
Hi,
First, thanks for all the available code for im2txt. I could make it work and generate some first captions. But now, I’m completely lost on a problem about fine-tuning im2txt, hoping it’s the good place to ask.
To summarize, I first fine-tuned an inception model using the method described in (https://github.com/tensorflow/models/tree/master/slim#Tuning). My training generates a bunch of files like model.meta, model.index and model.ckpt-xxx. I think the training is correct as I can evaluate it using eval_image_classifier.py available in slim git repo.
Then , what I would like to do is use this fine-tuned inception model as an input to train im2txt as in https://github.com/tensorflow/models/tree/master/im2txt#training-a-model.
I also tried fine-tuning the inception model in im2txt as in (https://github.com/tensorflow/models/tree/master/im2txt#fine-tune-the-inception-v3-model). But I don’t understand what it concretely does.
Thanks in advance for your help.
Regards,
Stephane
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