MultiSpecific.ipynb no swiping faces

[Mega313]

My knowledge of coding is little simswap for single faces work perfectly but I tried the multi-faces swap code I hade this problem, I changed just the version of the dependancy
from
!pip install insightface==0.2.1 onnxruntime moviepy !pip install googledrivedownloader !pip install imageio==2.4.1

to
!pip install -q torch==2.0.1 !pip install -q insightface==0.2.1 onnxruntime==1.15.1 !pip install -q moviepy==1.0.3 imageio==2.9.0 !pip install -q googledrivedownloader

to avoid the "ValueError: This ORT build has ['TensorrtExecutionProvider', 'CUDAExecutionProvider', 'CPUExecutionProvider']"
there is also track under the number #446 with the same problem
the code I used it from @neuralchen/simswap

[Atthw]

The problem solved or not

[Mega313]

The problem solved or not

Nope, No one helped me :/

[TransAmMan]

Hi Mega313:

I was getting the "ValueError" and you gave me an idea how to fix it. Here is what I did to fix the problem you are having. I got this from one or two posts here. I'm giving you the code sandwiched between existing lines separated by a space:

opt.use_mask = True ## new feature up-to-date
opt.Arc_path = './arcface_model/arcface_checkpoint.tar'

opt.isTrain = False
opt.crop_size = 224
crop_size = opt.crop_size
torch.nn.Module.dump_patches = True
model = create_model(opt)
model.eval()
if crop_size == 512:
opt.which_epoch = 550000
opt.name = '512'
mode = 'ffhq'
else:
mode = 'None'
app = Face_detect_crop(name='antelope', root='./insightface_func/models')
app.prepare(ctx_id= 0, det_thresh=0.6, det_size=(640,640),mode=mode)

with torch.no_grad():
pic_a = opt.pic_a_path

[Atthw]

Where to post this code explain with inages