This commit is contained in:
Qing 2023-03-31 22:17:38 +08:00
parent 6579977439
commit c3cbf8d4a2

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@ -17,9 +17,11 @@ class GFPGANPlugin(BasePlugin):
model_path = download_model(url, model_md5)
logger.info(f"GFPGAN model path: {model_path}")
face_det_device = "cpu" if "cuda" in str(device) else device
import facexlib
if hasattr(facexlib.detection.retinaface, "device"):
facexlib.detection.retinaface.device = "cpu"
facexlib.detection.retinaface.device = device
# Use GFPGAN for face enhancement
self.face_enhancer = MyGFPGANer(
@ -30,9 +32,10 @@ class GFPGANPlugin(BasePlugin):
device=device,
bg_upsampler=upscaler.model if upscaler is not None else None,
)
self.face_enhancer.face_helper.face_det.mean_tensor.to("cpu")
self.face_enhancer.face_helper.face_det = self.face_enhancer.face_helper.face_det.to("cpu")
self.face_enhancer.face_helper.face_det.mean_tensor.to(device)
self.face_enhancer.face_helper.face_det = (
self.face_enhancer.face_helper.face_det.to(device)
)
def __call__(self, rgb_np_img, files, form):
weight = 0.5