Closed red010182 closed 6 years ago
Hi again @red010182,
I'm afraid I don't know. I think you should ask dpressel, the author of the tensorflow repo, he will probably know the answer.
Best, Gil
I belive you found the answer in another thread. dpressel/rude-carnie#37
Sorry for any confusion. It uses the setup from this repository to create the folds and the rude-carnie
checkpoints happened to exist in the directory for the example.
The checkpoints in question are trained by using rude-carnie
, which is a tensorflow implementation. The answer in the other ticket has to do with the checkpoint type. rude-carnie
supports two different approaches for age/gender detection. The default method of training/evaluation is to use Gil's model architecture (re-implemented in tensorflow), but it also supports fine-tuning a pre-trained imagenet inception model. It happens that the checkpoint that I uploaded was for fine-tuned inception, and so the user had to pass in the --model_type inception
for it to run.
This is not a bug issue.
In https://github.com/dpressel/rude-carnie, it seems use a tensorflow model provided from this repo, in his example it's located at
AgeGenderDeepLearning/Folds/tf/age_test_fold_is_1/run-20854
, but I can't find it anywhere in both repositories.Are there tensorflow version models I just missed? Or, should I train it in tensorflow myself to get the models?
Really appreciate for sharing this work.