Comments (4)
Target images are not yet supported in v2.
For now you can use face_swap_images2images.py from v1.
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Target images are not yet supported in v2.
For now you can use face_swap_images2images.py from v1.
Is there a pre-trained model in the v1 version?
from fsgan.
Yes, please refer to this guide.
from fsgan.
Why does the image have vertical stripes after step Gr?
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Related Issues (20)
- Can the training results from v2 be available in version1 image reenacted? HOT 1
- Gr = obj_factory(checkpoint['arch']).to(device) KeyError: 'arch' HOT 6
- How to get training script that ImageReenacted of v1 ?
- swap.py maybe unsupport torch-1.11.0 HOT 1
- RuntimeError: Expected 2D (unbatched) or 3D (batched) input to conv1d, but got input of size: [1, 1024, 32, 32] HOT 10
- No such file or directory: 'weights/WIDERFace_DSFD_RES152.pth' HOT 7
- requests.exceptions.ConnectionError: HTTPSConnectionPool(host='drive.google.com', port=443): Max retries exceeded with url: /uc?export=download&id=1uyEETpnuvfwZeQLvlP8SzahrMBwst9Be (Caused by NewConnectionError('<urllib3.connection.HTTPSConnection object at 0x7f9481ba6550>: Failed to establish a new connection: [Errno 110] Connection timed out')) HOT 3
- ffmpeg._run.Error: ffprobe error (see stderr output for detail) HOT 5
- No module named 'face_alignment' in V1 HOT 3
- RuntimeError: No faces were detected in the source image directory: docs/Iron_man.jpg
- Does anyone know how to do face reenactment with fsgan v2
- ModuleNotFoundError: No module named 'fsgan.preprocess' HOT 1
- Got error message in swap.py HOT 1
- Error on Colab HOT 2
- raise Error('ffprobe', out, err) ffmpeg._run.Error: ffprobe error (see stderr output for detail) HOT 1
- Swap picture to picture
- ffprobe Error HOT 1
- runtime error: Cache file does not exist HOT 1
- The performance decreases as the length of video increases
- Module error ffmpeg Colab HOT 1
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