Closed saksham-s closed 6 years ago
Yes, of course. You just need to modify code a little bit and fetch required values under the session scope. For example if you want to fetch logits you need:
modify those lines - https://github.com/ikhlestov/vision_networks/blob/master/models/dense_net.py#L343-L344 with code like: self.logits = logits
and later on provide some additional method:
def fetch_logits(self, inputs):
feed_dict = {self.images: inputs}
logits_res = self.sess.run([self.logits], feed_dict=feed_dict)
return logits_res
With such approach actually you can get values for any tensor, from saved or newly initialized model
Hi, is there some way to get the softmax probability values from the saved models instead of the final class predictions.