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