CalvinBackup/neuralchen-SimSwap
1
0
Fork 0
Code Issues 288 Pull Requests 16 Actions Packages Projects Releases 2 Wiki Activity

Update train.py

Browse Source
This commit is contained in:
chenxuanhong
2022-04-21 22:59:12 +08:00
parent bc5ac1ef22
commit e48f32d872
1 changed files with 6 additions and 6 deletions
Download Patch File Download Diff File Expand all files Collapse all files
train.py
+6 -6
View File
@@ -5,7 +5,7 @@
# Created Date: Monday December 27th 2021
# Author: Chen Xuanhong
# Email: chenxuanhongzju@outlook.com
# Last Modified: Thursday, 21st April 2022 10:53:51 pm
# Last Modified: Thursday, 21st April 2022 10:59:07 pm
# Modified By: Chen Xuanhong
# Copyright (c) 2021 Shanghai Jiao Tong University
#############################################################
@@ -48,10 +48,10 @@ class TrainOptions:
# for displays
self.parser.add_argument('--tag', type=str, default='simswap')
self.parser.add_argument('--use_tensorboard', type=str2bool, default='True')
self.parser.add_argument('--use_tensorboard', type=str2bool, default='False')
# for training
self.parser.add_argument('--dataset', type=str, default="G:/VGGFace2-HQ/VGGface2_None_norm_512_true_bygfpgan", help='path to the face swapping dataset')
self.parser.add_argument('--dataset', type=str, default="/path/to/VGGFace2", help='path to the face swapping dataset')
self.parser.add_argument('--continue_train', type=bool, default=False, help='continue training: load the latest model')
self.parser.add_argument('--load_pretrain', type=str, default='checkpoints', help='load the pretrained model from the specified location')
self.parser.add_argument('--which_epoch', type=str, default='800000', help='which epoch to load? set to latest to use latest cached model')
@@ -70,9 +70,9 @@ class TrainOptions:
self.parser.add_argument("--Arc_path", type=str, default='arcface_model/arcface_checkpoint.tar', help="run ONNX model via TRT")
self.parser.add_argument("--total_step", type=int, default=1000000, help='total training step')
self.parser.add_argument("--log_frep", type=int, default=10, help='frequence for printing log information')
self.parser.add_argument("--sample_freq", type=int, default=30, help='frequence for sampling')
self.parser.add_argument("--model_freq", type=int, default=40, help='frequence for saving the model')
self.parser.add_argument("--log_frep", type=int, default=200, help='frequence for printing log information')
self.parser.add_argument("--sample_freq", type=int, default=1000, help='frequence for sampling')
self.parser.add_argument("--model_freq", type=int, default=10000, help='frequence for saving the model')