CalvinBackup/neuralchen-SimSwap
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2022-04-25 12:05:46 +08:00
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@@ -77,7 +77,6 @@ For faster convergence and better results, a large batch size (more than 16) is
***We recommend training more than 400K iterations (batch size is 16), 600K~800K will be better, more iterations will not be recommended.*** ***We recommend training more than 400K iterations (batch size is 16), 600K~800K will be better, more iterations will not be recommended.***
VGGFace2 is not a toy dataset like Cifar or Minist that takes a lot of time to learn.
``` ```
python train.py --name simswap224_test --batchSize 8 --gpu_ids 0 --dataset /path/to/VGGFace2HQ --Gdeep False python train.py --name simswap224_test --batchSize 8 --gpu_ids 0 --dataset /path/to/VGGFace2HQ --Gdeep False