neuralchen / SimSwap

An arbitrary face-swapping framework on images and videos with one single trained model!

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./checkpoints\people\latest_net_G.pth not exists yet! Send help :0

GooseBBB opened this issue · comments

Went through the installation process with a lot of different problems. Finally, i almost got it to work. Tried to test the first swap from demo directory to see how it works and got this message.

------------ 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/multi_test_swapsingle.mp4
phase: test
pic_a_path: ./demo_file/Iron_man.jpg
pic_b_path: G:/swap_data/ID/bengio.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: True
verbose: False
video_path: ./demo_file/multi_people_1080p.mp4
which_epoch: latest
-------------- End ----------------
./checkpoints\people\latest_net_G.pth not exists yet!
Traceback (most recent call last):
File "test_video_swapsingle.py", line 54, in
model = create_model(opt)
File "C:\SimSwap\SimSwap-main\models\models.py", line 18, in create_model
model.initialize(opt)
File "C:\SimSwap\SimSwap-main\models\fs_model.py", line 74, in initialize
self.load_network(self.netG, 'G', opt.which_epoch, pretrained_path)
File "C:\SimSwap\SimSwap-main\models\base_model.py", line 64, in load_network
raise('Generator must exist!')
TypeError: exceptions must derive from BaseException

I have found only 1 post about this trouble, and solution discussed in that post didnt work for me.
help ;0

Problem solved, i mistyped name of the checkpoints folder :D