mirror of
https://github.com/invoke-ai/InvokeAI
synced 2024-08-30 20:32:17 +00:00
58 lines
1.6 KiB
Python
58 lines
1.6 KiB
Python
from enum import Enum
|
|
|
|
import cv2
|
|
import numpy as np
|
|
import numpy.typing as npt
|
|
|
|
|
|
class ImageChannel(Enum):
|
|
RGB_R = "RGB_R"
|
|
RGB_G = "RGB_G"
|
|
RGB_B = "RGB_B"
|
|
|
|
LAB_L = "LAB_L"
|
|
LAB_A = "LAB_A"
|
|
LAB_B = "LAB_B"
|
|
|
|
HSV_H = "HSV_H"
|
|
HSV_S = "HSV_S"
|
|
HSV_V = "HSV_V"
|
|
|
|
|
|
def extract_channel(image: npt.NDArray[np.uint8], channel: ImageChannel) -> npt.NDArray[np.uint8]:
|
|
"""Extract a channel from an image.
|
|
|
|
Args:
|
|
image (np.ndarray): Shape (H, W, 3) of dtype uint8.
|
|
channel (ImageChannel): The channel to extract.
|
|
|
|
Returns:
|
|
np.ndarray: Shape (H, W) of dtype uint8.
|
|
"""
|
|
if channel == ImageChannel.RGB_R:
|
|
return image[:, :, 0]
|
|
elif channel == ImageChannel.RGB_G:
|
|
return image[:, :, 1]
|
|
elif channel == ImageChannel.RGB_B:
|
|
return image[:, :, 2]
|
|
elif channel == ImageChannel.LAB_L:
|
|
lab = cv2.cvtColor(image, cv2.COLOR_RGB2LAB)
|
|
return lab[:, :, 0]
|
|
elif channel == ImageChannel.LAB_A:
|
|
lab = cv2.cvtColor(image, cv2.COLOR_RGB2LAB)
|
|
return lab[:, :, 1]
|
|
elif channel == ImageChannel.LAB_B:
|
|
lab = cv2.cvtColor(image, cv2.COLOR_RGB2LAB)
|
|
return lab[:, :, 2]
|
|
elif channel == ImageChannel.HSV_H:
|
|
hsv = cv2.cvtColor(image, cv2.COLOR_RGB2HSV)
|
|
return hsv[:, :, 0]
|
|
elif channel == ImageChannel.HSV_S:
|
|
hsv = cv2.cvtColor(image, cv2.COLOR_RGB2HSV)
|
|
return hsv[:, :, 1]
|
|
elif channel == ImageChannel.HSV_V:
|
|
hsv = cv2.cvtColor(image, cv2.COLOR_RGB2HSV)
|
|
return hsv[:, :, 2]
|
|
else:
|
|
raise ValueError(f"Unknown channel: {channel}")
|