Delete extensions-builtin/forge_preprocessor_recolor

extensions-builtin/forge_preprocessor_recolor/scripts/preprocessor_recolor.py

@@ -1,67 +0,0 @@
-import cv2
-import numpy as np
-
-from modules_forge.supported_preprocessor import Preprocessor, PreprocessorParameter
-from modules_forge.shared import add_supported_preprocessor
-
-
-class PreprocessorRecolor(Preprocessor):
-    def __init__(self, name, use_intensity):
-        super().__init__()
-        self.name = name
-        self.use_intensity = False
-        self.tags = ['Recolor']
-        self.model_filename_filters = ['color', 'recolor', 'grey', 'gray']
-        self.slider_resolution = PreprocessorParameter(visible=False)
-        self.slider_1 = PreprocessorParameter(
-            visible=True,
-            label="Gamma Correction",
-            value=1.0,
-            minimum=0.1,
-            maximum=2.0,
-            step=0.001
-        )
-        self.current_cond = None
-
-    def __call__(self, input_image, resolution, slider_1=None, slider_2=None, slider_3=None, **kwargs):
-        gamma = slider_1
-
-        if self.use_intensity:
-            result = cv2.cvtColor(input_image, cv2.COLOR_BGR2HSV)
-            result = result[:, :, 2].astype(np.float32) / 255.0
-        else:
-            result = cv2.cvtColor(input_image, cv2.COLOR_BGR2LAB)
-            result = result[:, :, 0].astype(np.float32) / 255.0
-
-        result = result ** gamma
-        result = (result * 255.0).clip(0, 255).astype(np.uint8)
-        result = cv2.cvtColor(result, cv2.COLOR_GRAY2RGB)
-        return result
-
-    def process_before_every_sampling(self, process, cond, mask, *args, **kwargs):
-        self.current_cond = cond
-        return cond, mask
-
-    def process_after_every_sampling(self, process, params, *args, **kwargs):
-        a1111_batch_result = args[0]
-        new_results = []
-
-        for img in a1111_batch_result.images:
-            new_mean = self.current_cond[0].mean(dim=0, keepdim=True)
-            img = img - img.mean(dim=0, keepdim=True) + new_mean
-            img = img.clip(0, 1)
-            new_results.append(img)
-
-        a1111_batch_result.images = new_results
-        return
-
-
-add_supported_preprocessor(PreprocessorRecolor(
-    name="recolor_intensity",
-    use_intensity=True
-))
-
-add_supported_preprocessor(PreprocessorRecolor(
-    name="recolor_luminance",
-    use_intensity=False
-))