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Fix hue adjustment (#4182)
* Fix hue adjustment Hue adjustment wasn't working correctly because color channels got swapped. This has now been fixed and we're using PIL rather than cv2 to do the RGBA->HSV->RGBA conversion. The range of hue adjustment is also the more typical 0..360 degrees.
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@ -661,27 +661,23 @@ class ImageHueAdjustmentInvocation(BaseInvocation):
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# Inputs
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image: ImageField = Field(default=None, description="The image to adjust")
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hue: int = Field(default=0, description="The degrees by which to rotate the hue")
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hue: int = Field(default=0, description="The degrees by which to rotate the hue, 0-360")
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# fmt: on
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def invoke(self, context: InvocationContext) -> ImageOutput:
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pil_image = context.services.images.get_pil_image(self.image.image_name)
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# Convert PIL image to OpenCV format (numpy array), note color channel
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# ordering is changed from RGB to BGR
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image = numpy.array(pil_image.convert("RGB"))[:, :, ::-1]
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# Convert image to HSV color space
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hsv_image = cv2.cvtColor(image, cv2.COLOR_BGR2HSV)
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hsv_image = numpy.array(pil_image.convert("HSV"))
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# Adjust the hue
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hsv_image[:, :, 0] = (hsv_image[:, :, 0] + self.hue) % 180
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# Convert hue from 0..360 to 0..256
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hue = int(256 * ((self.hue % 360) / 360))
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# Convert image back to BGR color space
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image = cv2.cvtColor(hsv_image, cv2.COLOR_HSV2BGR)
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# Increment each hue and wrap around at 255
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hsv_image[:, :, 0] = (hsv_image[:, :, 0] + hue) % 256
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# Convert back to PIL format and to original color mode
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pil_image = Image.fromarray(image[:, :, ::-1], "RGB").convert("RGBA")
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pil_image = Image.fromarray(hsv_image, mode="HSV").convert("RGBA")
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image_dto = context.services.images.create(
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image=pil_image,
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