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Browse files- app.py +24 -0
- color_transfer_MKL.py +38 -0
- requirements.txt +1 -0
app.py
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import gradio as gr
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import numpy as np
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import color_transfer_MKL as ct
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def color_transfer(source, target):
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source = np.array(source)/255
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target = np.array(target)/255
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result = ct.color_transfer_MKL(source, target)
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return np.uint8(result * 255)
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interface = gr.Interface(
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fn=color_transfer,
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inputs=[
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gr.Image(type="numpy"),
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gr.Image(type="numpy"),
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],
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outputs=["image"],
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title="Image Color Transfer",
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description="DIGIMAP Final Project"
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)
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if __name__ == "__main__":
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interface.launch()
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color_transfer_MKL.py
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import numpy as np
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EPS = 2.2204e-16
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def color_transfer_MKL(source, target):
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assert len(source.shape) == 3, 'Images should have 3 dimensions'
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assert source.shape[-1] == 3, 'Images should have 3 channels'
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X0 = np.reshape(source, (-1, 3), 'F')
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X1 = np.reshape(target, (-1, 3), 'F')
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A = np.cov(X0, rowvar=False)
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B = np.cov(X1, rowvar=False)
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T = MKL(A, B)
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mX0 = np.mean(X0, axis=0)
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mX1 = np.mean(X1, axis=0)
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XR = (X0 - mX0) @ T + mX1
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IR = np.reshape(XR, source.shape, 'F')
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IR = np.real(IR)
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IR[IR > 1] = 1
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IR[IR < 0] = 0
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return IR
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def MKL(A, B):
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Da2, Ua = np.linalg.eig(A)
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Da2 = np.diag(Da2)
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Da2[Da2 < 0] = 0
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Da = np.sqrt(Da2 + EPS)
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C = Da @ np.transpose(Ua) @ B @ Ua @ Da
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Dc2, Uc = np.linalg.eig(C)
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Dc2 = np.diag(Dc2)
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Dc2[Dc2 < 0] = 0
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Dc = np.sqrt(Dc2 + EPS)
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Da_inv = np.diag(1 / (np.diag(Da)))
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T = Ua @ Da_inv @ Uc @ Dc @ np.transpose(Uc) @ Da_inv @ np.transpose(Ua)
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return T
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requirements.txt
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numpy
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