the multispecific swap has failed not sure why #97

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opened 2021-08-22 02:30:18 +02:00 by ozmix · 0 comments
ozmix commented 2021-08-22 02:30:18 +02:00 (Migrated from github.com)

hi i recently tried the multispecific swap with videos two faces swap in video and this came up

(simswap) F:\SS\SimSwap-main>python test_video_swap_multispecific.py --isTrain false --use_mask --name people --Arc_path arcface_model/arcface_checkpoint.tar --video_path ./demo_file/multi_people_1080p.mp4 --output_path ./output/multi_test_multispecific.mp4 --temp_path ./temp_results --multisepcific_dir ./demo_file/multispecific
------------ Options -------------
Arc_path: arcface_model/arcface_checkpoint.tar
aspect_ratio: 1.0
batchSize: 8
checkpoints_dir: ./checkpoints
cluster_path: features_clustered_010.npy
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_multispecific.mp4
phase: test
pic_a_path: ./crop_224/gdg.jpg
pic_b_path: ./crop_224/zrf.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 ----------------
input mean and std: 127.5 127.5
find model: ./insightface_func/models\antelope\glintr100.onnx recognition
find model: ./insightface_func/models\antelope\scrfd_10g_bnkps.onnx detection
set det-size: (640, 640)
(142, 366, 4)
4%|███▏ | 156/3837 [00:15<05:54, 10.38it/s]
Traceback (most recent call last):
File "test_video_swap_multispecific.py", line 93, in
model, app, opt.output_path,temp_results_dir=opt.temp_path,no_simswaplogo=opt.no_simswaplogo,use_mask=opt.use_mask)
File "F:\SS\SimSwap-main\util\videoswap_multispecific.py", line 94, in video_swap
min_indexs = np.argmin(id_compare_values_array,axis=0)
File "<array_function internals>", line 6, in argmin
File "C:\Users\ozzyx\anaconda3\envs\simswap\lib\site-packages\numpy\core\fromnumeric.py", line 1269, in argmin
return _wrapfunc(a, 'argmin', axis=axis, out=out)
File "C:\Users\ozzyx\anaconda3\envs\simswap\lib\site-packages\numpy\core\fromnumeric.py", line 58, in _wrapfunc
return bound(*args, **kwds)
ValueError: attempt to get argmin of an empty sequence

(simswap) F:\SS\SimSwap-main>

honestly not sure what it could be please help, also I still like this project a lot, I cant wait to see where you guys go with this in the near or distant future.

hi i recently tried the multispecific swap with videos two faces swap in video and this came up (simswap) F:\SS\SimSwap-main>python test_video_swap_multispecific.py --isTrain false --use_mask --name people --Arc_path arcface_model/arcface_checkpoint.tar --video_path ./demo_file/multi_people_1080p.mp4 --output_path ./output/multi_test_multispecific.mp4 --temp_path ./temp_results --multisepcific_dir ./demo_file/multispecific ------------ Options ------------- Arc_path: arcface_model/arcface_checkpoint.tar aspect_ratio: 1.0 batchSize: 8 checkpoints_dir: ./checkpoints cluster_path: features_clustered_010.npy 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_multispecific.mp4 phase: test pic_a_path: ./crop_224/gdg.jpg pic_b_path: ./crop_224/zrf.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 ---------------- input mean and std: 127.5 127.5 find model: ./insightface_func/models\antelope\glintr100.onnx recognition find model: ./insightface_func/models\antelope\scrfd_10g_bnkps.onnx detection set det-size: (640, 640) (142, 366, 4) 4%|███▏ | 156/3837 [00:15<05:54, 10.38it/s] Traceback (most recent call last): File "test_video_swap_multispecific.py", line 93, in <module> model, app, opt.output_path,temp_results_dir=opt.temp_path,no_simswaplogo=opt.no_simswaplogo,use_mask=opt.use_mask) File "F:\SS\SimSwap-main\util\videoswap_multispecific.py", line 94, in video_swap min_indexs = np.argmin(id_compare_values_array,axis=0) File "<__array_function__ internals>", line 6, in argmin File "C:\Users\ozzyx\anaconda3\envs\simswap\lib\site-packages\numpy\core\fromnumeric.py", line 1269, in argmin return _wrapfunc(a, 'argmin', axis=axis, out=out) File "C:\Users\ozzyx\anaconda3\envs\simswap\lib\site-packages\numpy\core\fromnumeric.py", line 58, in _wrapfunc return bound(*args, **kwds) ValueError: attempt to get argmin of an empty sequence (simswap) F:\SS\SimSwap-main> honestly not sure what it could be please help, also I still like this project a lot, I cant wait to see where you guys go with this in the near or distant future.
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