mirror of
https://github.com/invoke-ai/InvokeAI
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48 lines
1.3 KiB
Python
48 lines
1.3 KiB
Python
"""
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This module defines a singleton object, "patchmatch" that
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wraps the actual patchmatch object. It respects the global
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"try_patchmatch" attribute, so that patchmatch loading can
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be suppressed or deferred
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"""
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import numpy as np
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from invokeai.backend.globals import Globals
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class PatchMatch:
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"""
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Thin class wrapper around the patchmatch function.
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"""
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patch_match = None
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tried_load: bool = False
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def __init__(self):
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super().__init__()
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@classmethod
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def _load_patch_match(self):
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if self.tried_load:
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return
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if Globals.try_patchmatch:
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from patchmatch import patch_match as pm
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if pm.patchmatch_available:
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print(">> Patchmatch initialized")
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else:
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print(">> Patchmatch not loaded (nonfatal)")
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self.patch_match = pm
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else:
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print(">> Patchmatch loading disabled")
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self.tried_load = True
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@classmethod
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def patchmatch_available(self) -> bool:
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self._load_patch_match()
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return self.patch_match and self.patch_match.patchmatch_available
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@classmethod
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def inpaint(self, *args, **kwargs) -> np.ndarray:
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if self.patchmatch_available():
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return self.patch_match.inpaint(*args, **kwargs)
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