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Watermark encoder expects images in BGR channel order (matching cv2 imread). This fix reduces the watermark artifacts.

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pharmapsychotic
2023-07-05 12:05:14 -05:00
parent ae18ba3e87
commit 5df4d9893c
2 changed files with 4 additions and 5 deletions
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6
scripts/demo/streamlit_helpers.py
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@@ -43,19 +43,19 @@ class WatermarkEmbedder:
Returns:
same as input but watermarked
"""
# watermarking libary expects input as cv2 format
# watermarking libary expects input as cv2 BGR format
squeeze = len(image.shape) == 4
if squeeze:
image = image[None, ...]
n = image.shape[0]
image_np = rearrange(
(255 * image).detach().cpu(), "n b c h w -> (n b) h w c"
).numpy()
).numpy()[:,:,:,::-1]
# torch (b, c, h, w) in [0, 1] -> numpy (b, h, w, c) [0, 255]
for k in range(image_np.shape[0]):
image_np[k] = self.encoder.encode(image_np[k], "dwtDct")
image = torch.from_numpy(
rearrange(image_np, "(n b) h w c -> n b c h w", n=n)
rearrange(image_np[:,:,:,::-1], "(n b) h w c -> n b c h w", n=n)
).to(image.device)
image = torch.clamp(image / 255, min=0.0, max=1.0)
if squeeze: