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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
The text was updated successfully, but these errors were encountered:
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
The text was updated successfully, but these errors were encountered: