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inception score #7

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04lm40 opened this issue Mar 11, 2020 · 4 comments
Closed

inception score #7

04lm40 opened this issue Mar 11, 2020 · 4 comments

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@04lm40
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04lm40 commented Mar 11, 2020

Hello, I trained a model on the CVUSA dataset, but the IS value and KL result are slightly worse during the evaluation. The following are my running commands. Are there any problems that I have not noticed?
python train.py --dataroot ./datasets/cvusa/
--name cvusa_selectiongan
--model selectiongan
--which_model_netG unet_256
--which_direction AtoB
--dataset_mode aligned
--norm batch
--gpu_ids 0,1
--batchSize 4
--loadSize 286
--fineSize 256
--no_flip
--display_id 1
--lambda_L1 100
--lambda_L1_seg 1

@Ha0Tang
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Ha0Tang commented Mar 11, 2020

What are your results? Did you use two GPUs for training?

@04lm40
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04lm40 commented Mar 11, 2020

IS:3.5 2.65 3.59 KL:3.12.
Yes, I used two GPUs.

@Ha0Tang
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Ha0Tang commented Mar 11, 2020

The results in our paper were generated using one GPU.

@04lm40
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04lm40 commented Mar 11, 2020

Thank you!

@Ha0Tang Ha0Tang closed this as completed Mar 11, 2020
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