Could you please provide an example on how to use a trained model on our own dataset?
I am taking the following steps:
After the checkpoint is created, I pass the checkpoint to test.py as "decoder_weights".
I had to change "saver.restore(sess, decoder_weights)" to "saver.restore(sess, tf.train.latest_checkpoint(decoder_weights))" to read it successfully from checkpoint directory.
What should be passed to vgg_weights in test.py? Are we not fine-tuning the encoder (i.e. vgg weights) in the training on our own dataset?
Does it remain same as "models/vgg19_weights_normalized.h5"?
Hi,
Could you please provide an example on how to use a trained model on our own dataset?
I am taking the following steps:
Thank you in advance.