Simple face swapping example for already face-aligned images doesn't work #385
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Reference: CalvinBackup/neuralchen-SimSwap#385
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c:\SimSwap\SimSwap-main>python test_one_image.py --name people --Arc_path arcface_model/arcface_checkpoint.tar --pic_a_path crop_224/6.jpg --pic_b_path crop_224/ds.jpg --output_path output/
------------ Options -------------
Arc_path: arcface_model/arcface_checkpoint.tar
aspect_ratio: 1.0
batchSize: 8
checkpoints_dir: ./checkpoints
cluster_path: features_clustered_010.npy
crop_size: 224
data_type: 32
dataroot: ./datasets/cityscapes/
display_winsize: 512
engine: None
export_onnx: None
feat_num: 3
fineSize: 512
fp16: False
gpu_ids: [0]
how_many: 50
id_thres: 0.03
image_size: 224
input_nc: 3
instance_feat: False
isTrain: False
label_feat: False
label_nc: 0
latent_size: 512
loadSize: 1024
load_features: False
local_rank: 0
max_dataset_size: inf
model: pix2pixHD
multisepcific_dir: ./demo_file/multispecific
nThreads: 2
n_blocks_global: 6
n_blocks_local: 3
n_clusters: 10
n_downsample_E: 4
n_downsample_global: 3
n_local_enhancers: 1
name: people
nef: 16
netG: global
ngf: 64
niter_fix_global: 0
no_flip: False
no_instance: False
no_simswaplogo: False
norm: batch
norm_G: spectralspadesyncbatch3x3
ntest: inf
onnx: None
output_nc: 3
output_path: output/
phase: test
pic_a_path: crop_224/6.jpg
pic_b_path: crop_224/ds.jpg
pic_specific_path: ./crop_224/zrf.jpg
resize_or_crop: scale_width
results_dir: ./results/
semantic_nc: 3
serial_batches: False
temp_path: ./temp_results
tf_log: False
use_dropout: False
use_encoded_image: False
use_mask: False
verbose: False
video_path: ./demo_file/multi_people_1080p.mp4
which_epoch: latest
-------------- End ----------------
C:\Users\usrr1\anaconda3\envs\Simswap\lib\site-packages\torch\serialization.py:656: SourceChangeWarning: source code of class 'torch.nn.parallel.data_parallel.DataParallel' has changed. Tried to save a patch, but couldn't create a writable file DataParallel.patch. Make sure it doesn't exist and your working directory is writable.
warnings.warn(msg, SourceChangeWarning)
C:\Users\usrr1\anaconda3\envs\Simswap\lib\site-packages\torch\serialization.py:656: SourceChangeWarning: source code of class 'torch.nn.modules.conv.Conv2d' has changed. Tried to save a patch, but couldn't create a writable file Conv2d.patch. Make sure it doesn't exist and your working directory is writable.
warnings.warn(msg, SourceChangeWarning)
C:\Users\usrr1\anaconda3\envs\Simswap\lib\site-packages\torch\serialization.py:656: SourceChangeWarning: source code of class 'torch.nn.modules.batchnorm.BatchNorm2d' has changed. Tried to save a patch, but couldn't create a writable file BatchNorm2d.patch. Make sure it doesn't exist and your working directory is writable.
warnings.warn(msg, SourceChangeWarning)
C:\Users\usrr1\anaconda3\envs\Simswap\lib\site-packages\torch\serialization.py:656: SourceChangeWarning: source code of class 'torch.nn.modules.activation.PReLU' has changed. Tried to save a patch, but couldn't create a writable file PReLU.patch. Make sure it doesn't exist and your working directory is writable.
warnings.warn(msg, SourceChangeWarning)
C:\Users\usrr1\anaconda3\envs\Simswap\lib\site-packages\torch\serialization.py:656: SourceChangeWarning: source code of class 'torch.nn.modules.pooling.MaxPool2d' has changed. Tried to save a patch, but couldn't create a writable file MaxPool2d.patch. Make sure it doesn't exist and your working directory is writable.
warnings.warn(msg, SourceChangeWarning)
C:\Users\usrr1\anaconda3\envs\Simswap\lib\site-packages\torch\serialization.py:656: SourceChangeWarning: source code of class 'torch.nn.modules.container.Sequential' has changed. Tried to save a patch, but couldn't create a writable file Sequential.patch. Make sure it doesn't exist and your working directory is writable.
warnings.warn(msg, SourceChangeWarning)
C:\Users\usrr1\anaconda3\envs\Simswap\lib\site-packages\torch\serialization.py:656: SourceChangeWarning: source code of class 'torch.nn.modules.pooling.AdaptiveAvgPool2d' has changed. Tried to save a patch, but couldn't create a writable file AdaptiveAvgPool2d.patch. Make sure it doesn't exist and your working directory is writable.
warnings.warn(msg, SourceChangeWarning)
C:\Users\usrr1\anaconda3\envs\Simswap\lib\site-packages\torch\serialization.py:656: SourceChangeWarning: source code of class 'torch.nn.modules.linear.Linear' has changed. Tried to save a patch, but couldn't create a writable file Linear.patch. Make sure it doesn't exist and your working directory is writable.
warnings.warn(msg, SourceChangeWarning)
C:\Users\usrr1\anaconda3\envs\Simswap\lib\site-packages\torch\serialization.py:656: SourceChangeWarning: source code of class 'torch.nn.modules.activation.Sigmoid' has changed. Tried to save a patch, but couldn't create a writable file Sigmoid.patch. Make sure it doesn't exist and your working directory is writable.
warnings.warn(msg, SourceChangeWarning)
C:\Users\usrr1\anaconda3\envs\Simswap\lib\site-packages\torch\serialization.py:656: SourceChangeWarning: source code of class 'torch.nn.modules.dropout.Dropout' has changed. Tried to save a patch, but couldn't create a writable file Dropout.patch. Make sure it doesn't exist and your working directory is writable.
warnings.warn(msg, SourceChangeWarning)
C:\Users\usrr1\anaconda3\envs\Simswap\lib\site-packages\torch\serialization.py:656: SourceChangeWarning: source code of class 'torch.nn.modules.batchnorm.BatchNorm1d' has changed. Tried to save a patch, but couldn't create a writable file BatchNorm1d.patch. Make sure it doesn't exist and your working directory is writable.
warnings.warn(msg, SourceChangeWarning)
C:\Users\usrr1\anaconda3\envs\Simswap\lib\site-packages\torch\nn\functional.py:3455: UserWarning: Default upsampling behavior when mode=bilinear is changed to align_corners=False since 0.4.0. Please specify align_corners=True if the old behavior is desired. See the documentation of nn.Upsample for details.
"See the documentation of nn.Upsample for details.".format(mode)
What about it doesn't work? There are no errors in your command line output. All I see are warnings which you may ignore. Have you taken a look at the generated image in the output directory?
UserWarning: Default upsampling behavior when mode=bilinear is changed to align_corners=False since 0.4.0. Please specify align_corners=True if the old behavior is desired. See the documentation of nn.Upsample for details.
"See the documentation of nn.Upsample for details.".format(mode) It seems like the error