_ / lama_cleaner /plugins /remove_bg.py
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import os
import cv2
import numpy as np
from torch.hub import get_dir
from lama_cleaner.plugins.base_plugin import BasePlugin
class RemoveBG(BasePlugin):
name = "RemoveBG"
def __init__(self):
super().__init__()
from rembg import new_session
hub_dir = get_dir()
model_dir = os.path.join(hub_dir, "checkpoints")
os.environ["U2NET_HOME"] = model_dir
self.session = new_session(model_name="u2net")
def __call__(self, rgb_np_img, files, form):
bgr_np_img = cv2.cvtColor(rgb_np_img, cv2.COLOR_RGB2BGR)
return self.forward(bgr_np_img)
def forward(self, bgr_np_img) -> np.ndarray:
from rembg import remove
# return BGRA image
output = remove(bgr_np_img, session=self.session)
return cv2.cvtColor(output, cv2.COLOR_BGRA2RGBA)
def check_dep(self):
try:
import rembg
except ImportError:
return (
"RemoveBG is not installed, please install it first. pip install rembg"
)