Update gfrbmg2.py
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+15
-3
@@ -77,8 +77,8 @@ class GFrbmg2:
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}
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}
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RETURN_TYPES = ("IMAGE", "IMAGE", "MASK")
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RETURN_NAMES = ("image_rgba", "image", "mask")
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RETURN_TYPES = ("IMAGE", "IMAGE", "IMAGE", "MASK")
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RETURN_NAMES = ("image_rgba", "image", "mask_rgb", "mask")
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FUNCTION = "remove_background"
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CATEGORY = "🐵 GorillaFrame/Image"
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@@ -193,6 +193,7 @@ class GFrbmg2:
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processed_images = []
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processed_blacks = []
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processed_masks = []
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processed_masks_rgb = []
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for img in image:
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orig_image = tensor2pil(img)
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@@ -237,9 +238,14 @@ class GFrbmg2:
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background_image = Image.new('RGB', orig_image.size, background_color_value)
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background_image.paste(orig_image, mask=mask_pil)
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# Prepare mask RGB
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mask_rgb = Image.new('RGB', orig_image.size, (0, 0, 0))
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mask_rgb.paste(Image.fromarray(np.array(mask_pil).astype(np.uint8)), mask=mask_pil)
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processed_images.append(pil2tensor(rgba_image))
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processed_blacks.append(pil2tensor(background_image))
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processed_masks.append(pil2tensor(mask_pil))
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processed_masks_rgb.append(pil2tensor(mask_rgb))
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elif model_choice == "BEN2":
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foreground = self.model.inference(orig_image)
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@@ -272,12 +278,18 @@ class GFrbmg2:
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background_image = Image.new('RGB', orig_image.size, background_color_value)
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background_image.paste(orig_image, mask=mask_pil)
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# Prepare mask RGB
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mask_rgb = Image.new('RGB', orig_image.size, (0, 0, 0))
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mask_rgb.paste(Image.fromarray(np.array(mask_pil).astype(np.uint8)), mask=mask_pil)
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processed_images.append(pil2tensor(rgba_image))
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processed_blacks.append(pil2tensor(background_image))
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processed_masks.append(pil2tensor(mask_pil))
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processed_masks_rgb.append(pil2tensor(mask_rgb))
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new_images = torch.cat(processed_images, dim=0)
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new_blacks = torch.cat(processed_blacks, dim=0)
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new_masks = torch.cat(processed_masks, dim=0)
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new_masks_rgb = torch.cat(processed_masks_rgb, dim=0)
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return new_images, new_blacks, new_masks
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return new_images, new_blacks, new_masks_rgb, new_masks
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