add github model url; fix cpu tensor
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@ -8,33 +8,28 @@ import torch.nn.functional as F
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from lama_cleaner.helper import get_cache_path_by_url, load_jit_model
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from lama_cleaner.schema import Config
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from skimage.color import rgb2gray
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from skimage.feature import canny
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import numpy as np
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from lama_cleaner.model.base import InpaintModel
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ZITS_INPAINT_MODEL_URL = os.environ.get(
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"ZITS_INPAINT_MODEL_URL",
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# "https://github.com/Sanster/models/releases/download/add_ldm/cond_stage_model_encode.pt",
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"/Users/qing/code/github/ZITS_inpainting/zits-inpaint.pt"
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"https://github.com/Sanster/models/releases/download/add_zits/zits-inpaint-0717.pt",
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)
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ZITS_EDGE_LINE_MODEL_URL = os.environ.get(
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"ZITS_EDGE_LINE_MODEL_URL",
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# "https://github.com/Sanster/models/releases/download/add_ldm/cond_stage_model_decode.pt",
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"/Users/qing/code/github/ZITS_inpainting/zits-edge-line.pt"
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"https://github.com/Sanster/models/releases/download/add_zits/zits-edge-line-0717.pt",
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)
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ZITS_STRUCTURE_UPSAMPLE_MODEL_URL = os.environ.get(
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"ZITS_STRUCTURE_UPSAMPLE_MODEL_URL",
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"https://github.com/Sanster/models/releases/download/add_ldm/zits-structure-upsample.pt",
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"https://github.com/Sanster/models/releases/download/add_zits/zits-structure-upsample-0717.pt",
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)
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ZITS_WIRE_FRAME_MODEL_URL = os.environ.get(
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"ZITS_WIRE_FRAME_MODEL_URL",
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# "https://github.com/Sanster/models/releases/download/add_ldm/diffusion.pt",
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"/Users/qing/code/github/ZITS_inpainting/zits-wireframe.pt"
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"https://github.com/Sanster/models/releases/download/add_zits/zits-wireframe-0717.pt",
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)
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@ -158,8 +153,19 @@ def load_image(img, mask, device, sigma256=3.0):
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mask_512 = cv2.resize(mask, (512, 512), interpolation=cv2.INTER_AREA)
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mask_512[mask_512 > 0] = 255
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gray_256 = rgb2gray(img_256)
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edge_256 = canny(gray_256, sigma=sigma256, mask=None).astype(float)
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# original skimage implemention
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# https://scikit-image.org/docs/stable/api/skimage.feature.html#skimage.feature.canny
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# low_threshold: Lower bound for hysteresis thresholding (linking edges). If None, low_threshold is set to 10% of dtype’s max.
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# high_threshold: Upper bound for hysteresis thresholding (linking edges). If None, high_threshold is set to 20% of dtype’s max.
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gray_256 = skimage.color.rgb2gray(img_256)
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edge_256 = skimage.feature.canny(gray_256, sigma=sigma256, mask=None).astype(float)
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# cv2.imwrite("skimage_gray.jpg", (_gray_256*255).astype(np.uint8))
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# cv2.imwrite("skimage_edge.jpg", (_edge_256*255).astype(np.uint8))
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# gray_256 = cv2.cvtColor(img_256, cv2.COLOR_RGB2GRAY)
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# gray_256_blured = cv2.GaussianBlur(gray_256, ksize=(3,3), sigmaX=sigma256, sigmaY=sigma256)
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# edge_256 = cv2.Canny(gray_256_blured, threshold1=int(255*0.1), threshold2=int(255*0.2))
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# cv2.imwrite("edge.jpg", edge_256)
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# line
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img_512 = resize(img, 512, 512)
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@ -307,7 +313,7 @@ class ZITS(InpaintModel):
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items["rel_pos"], items["direct"])
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inpainted_image = inpainted_image * 255.0
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inpainted_image = inpainted_image.permute(0, 2, 3, 1)[0].numpy().astype(np.uint8)
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inpainted_image = inpainted_image.cpu().permute(0, 2, 3, 1)[0].numpy().astype(np.uint8)
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inpainted_image = inpainted_image[:, :, ::-1]
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# cv2.imwrite("inpainted.jpg", inpainted_image)
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@ -9,4 +9,4 @@ loguru
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pytest
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yacs
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markupsafe==2.0.1
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scikit-image==0.17.2
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scikit-image
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