Testing pretrained model

[boomland]

Hi!
I am having difficulties running the code, can you please help me?

I want to test your pretrained S2D network using test_rnn.py (in useful_scripts/evaluation/test_rnn.py).

I have tried to run this code this way:
python3 useful_scripts/evaluation/test_rnn.py --logroot exp_folder/logs/ --checkpoints_dir ../s2d/ --dataroot ../s2d_data/test_data_real/ --model cycle_gan --which_model_netG unet_1024

For generator model I have tried different variations of architectures: unet_512, unet_512_Re1, unet_512_Re2, unet_1024, xrnn_512. But in all this cases I got error when try to initialize and load model ( self.load_network(self.netG_A, 'G_A', which_epoch)):

RuntimeError: Error(s) in loading state_dict for UnetGenerator:
Missing key(s) in state_dict: "model.model.0.bias", "model.model.1.model.1.bias", "model.mo.1.model.3.model.1.bias", "model.model.1.model.3.model.3.model.1.bias", "model.model.1.model.3.mode.model.3.model.1.bias", "model.model.1.model.3.model.3.model.3.model.3.model.1.bias", "model.model.odel.3.model.3.model.3.model.3.model.3.model.1.bias", "model.model.1.model.3.model.3.model.3.model.odel.3.model.3.model.1.bias", "model.model.1.model.3.model.3.model.3.model.3.model.3.model.3.model.odel.1.bias", "model.model.1.model.3.model.3.model.3.model.3.model.3.model.3.model.3.model.3.bias",odel.model.1.model.3.model.3.model.3.model.3.model.3.model.3.model.5.bias", "model.model.1.model.3.el.3.model.3.model.3.model.3.model.5.bias", "model.model.1.model.3.model.3.model.3.model.3.model.5.s", "model.model.1.model.3.model.3.model.3.model.5.bias", "model.model.1.model.3.model.3.model.5.bi, "model.model.1.model.3.model.5.bias", "model.model.1.model.5.bias".
Unexpected key(s) in state_dict: "model.model.5.weight", "model.model.5.bias", "model.modelmodel.7.weight", "model.model.1.model.7.bias", "model.model.1.model.3.model.7.weight", "model.modelmodel.3.model.7.bias", "model.model.1.model.3.model.3.model.7.weight", "model.model.1.model.3.modelmodel.7.bias", "model.model.1.model.3.model.3.model.3.model.7.weight", "model.model.1.model.3.modelmodel.3.model.7.bias", "model.model.1.model.3.model.3.model.3.model.3.model.7.weight", "model.modelmodel.3.model.3.model.3.model.3.model.7.bias", "model.model.1.model.3.model.3.model.3.model.3.modelmodel.7.weight", "model.model.1.model.3.model.3.model.3.model.3.model.3.model.7.bias", "model.modelmodel.3.model.3.model.3.model.3.model.3.model.3.model.7.weight", "model.model.1.model.3.model.3.mod3.model.3.model.3.model.3.model.7.bias", "model.model.1.model.3.model.3.model.3.model.3.model.3.mod3.model.3.model.5.weight", "model.model.1.model.3.model.3.model.3.model.3.model.3.model.3.model.3.ml.5.bias".

My question is, can you please provide some instructions on how to run testing script properly on pretrained S2D model?

Best regards,
Yaroslav

[wsh312]

Hi,

Thanks for your questions!
Unfortunately, I have forgotten what parameters used for the provided pre-trained model, and I think the provided test_rnn.py were not designed to run the pre-trained model (maybe test.py would be closer to one would need but I doubt). To figure out, one would need to first run the training (on a small dataset) and see it was structured. Sorry about that.