I got the strange image when I ran this:
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/
Here is the details:
Don`t know the reason.
@neuralchen Could you please give me some suggestions if you are avaliable?
I got the strange image when I ran this:
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/

Here is the details:
<img width="541" alt="image" src="https://github.com/neuralchen/SimSwap/assets/104200736/fd60a6ca-84ed-4c7c-b389-db50f7c910fa">
Don`t know the reason.
@neuralchen Could you please give me some suggestions if you are avaliable?
Have you got this file ( latestnet_G.pth) in your /checkpoints/people folder? and that it is about 215Mb? It not then your model is not sufficiently trained. You can download the trained model from here: https://github.com/neuralchen/SimSwap/releases,
if you do 224, then download the older one (not 512), and extract it to the folder above.
Have you got this file ( latestnet_G.pth) in your /checkpoints/people folder? and that it is about 215Mb? It not then your model is not sufficiently trained. You can download the trained model from here: https://github.com/neuralchen/SimSwap/releases,
if you do 224, then download the older one (not 512), and extract it to the folder above.
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I got the strange image when I ran this:
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/
Here is the details:

Don`t know the reason.
@neuralchen Could you please give me some suggestions if you are avaliable?
me too
many people have reported this problem
https://github.com/neuralchen/SimSwap/issues/432
https://github.com/neuralchen/SimSwap/issues/247
Have you got this file ( latestnet_G.pth) in your /checkpoints/people folder? and that it is about 215Mb? It not then your model is not sufficiently trained. You can download the trained model from here: https://github.com/neuralchen/SimSwap/releases,
if you do 224, then download the older one (not 512), and extract it to the folder above.
solved, solution form here