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8ce0b8f9ac
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8c02c27f21
@ -312,7 +312,7 @@ The available models are:
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### How to train your own model
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### How to train your own model
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If You need more fine tunned models try this:
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If You need more fine tuned models try this:
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https://github.com/danielgatis/rembg/issues/193#issuecomment-1055534289
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https://github.com/danielgatis/rembg/issues/193#issuecomment-1055534289
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@ -9,7 +9,7 @@ from scipy.special import log_softmax
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from .base import BaseSession
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from .base import BaseSession
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pallete1 = [
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palette1 = [
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0,
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0,
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0,
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0,
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0,
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0,
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@ -24,7 +24,7 @@ pallete1 = [
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0,
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0,
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]
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]
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pallete2 = [
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palette2 = [
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0,
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0,
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0,
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0,
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0,
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@ -39,7 +39,7 @@ pallete2 = [
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0,
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0,
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]
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]
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pallete3 = [
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palette3 = [
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0,
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0,
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0,
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@ -76,17 +76,17 @@ class Unet2ClothSession(BaseSession):
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masks = []
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masks = []
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mask1 = mask.copy()
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mask1 = mask.copy()
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mask1.putpalette(pallete1)
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mask1.putpalette(palette1)
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mask1 = mask1.convert("RGB").convert("L")
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mask1 = mask1.convert("RGB").convert("L")
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masks.append(mask1)
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masks.append(mask1)
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mask2 = mask.copy()
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mask2 = mask.copy()
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mask2.putpalette(pallete2)
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mask2.putpalette(palette2)
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mask2 = mask2.convert("RGB").convert("L")
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mask2 = mask2.convert("RGB").convert("L")
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masks.append(mask2)
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masks.append(mask2)
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mask3 = mask.copy()
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mask3 = mask.copy()
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mask3.putpalette(pallete3)
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mask3.putpalette(palette3)
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mask3 = mask3.convert("RGB").convert("L")
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mask3 = mask3.convert("RGB").convert("L")
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masks.append(mask3)
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masks.append(mask3)
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