_ / lama_cleaner /model /opencv2.py
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import cv2
from lama_cleaner.model.base import InpaintModel
from lama_cleaner.schema import Config
flag_map = {"INPAINT_NS": cv2.INPAINT_NS, "INPAINT_TELEA": cv2.INPAINT_TELEA}
class OpenCV2(InpaintModel):
name = "cv2"
pad_mod = 1
@staticmethod
def is_downloaded() -> bool:
return True
def forward(self, image, mask, config: Config):
"""Input image and output image have same size
image: [H, W, C] RGB
mask: [H, W, 1]
return: BGR IMAGE
"""
cur_res = cv2.inpaint(
image[:, :, ::-1],
mask,
inpaintRadius=config.cv2_radius,
flags=flag_map[config.cv2_flag],
)
return cur_res