0.27.1
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4686c7cb78
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c02d918368
@ -1,4 +1,5 @@
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import os
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import random
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import cv2
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import numpy as np
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@ -80,6 +81,7 @@ class Manga(InpaintModel):
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def init_model(self, device, **kwargs):
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self.inpaintor_model = load_jit_model(MANGA_INPAINTOR_MODEL_URL, device)
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self.line_model = load_jit_model(MANGA_LINE_MODEL_URL, device)
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self.seed = 42
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@staticmethod
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def is_downloaded() -> bool:
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@ -95,10 +97,17 @@ class Manga(InpaintModel):
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mask: [H, W, 1]
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return: BGR IMAGE
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"""
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seed = self.seed
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random.seed(seed)
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np.random.seed(seed)
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torch.manual_seed(seed)
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torch.cuda.manual_seed_all(seed)
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gray_img = cv2.cvtColor(image, cv2.COLOR_RGB2GRAY)
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gray_img = torch.from_numpy(gray_img[np.newaxis, np.newaxis, :, :].astype(np.float32)).to(self.device)
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start = time.time()
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lines = self.line_model(gray_img)
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torch.cuda.empty_cache()
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lines = torch.clamp(lines, 0, 255)
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logger.info(f"erika_model time: {time.time() - start}")
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@ -106,12 +115,13 @@ class Manga(InpaintModel):
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mask = mask.permute(0, 3, 1, 2)
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mask = torch.where(mask > 0.5, 1.0, 0.0)
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noise = torch.randn_like(mask)
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ones = torch.ones_like(mask)
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gray_img = gray_img / 255 * 2 - 1.0
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lines = lines / 255 * 2 - 1.0
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start = time.time()
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inpainted_image = self.inpaintor_model(gray_img, lines, mask, noise)
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inpainted_image = self.inpaintor_model(gray_img, lines, mask, noise, ones)
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logger.info(f"image_inpaintor_model time: {time.time() - start}")
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cur_res = inpainted_image[0].permute(1, 2, 0).detach().cpu().numpy()
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2
setup.py
2
setup.py
@ -21,7 +21,7 @@ def load_requirements():
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# https://setuptools.readthedocs.io/en/latest/setuptools.html#including-data-files
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setuptools.setup(
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name="lama-cleaner",
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version="0.27.0",
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version="0.27.1",
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author="PanicByte",
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author_email="cwq1913@gmail.com",
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description="Image inpainting tool powered by SOTA AI Model",
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