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- import os
- from paddleseg.utils import logger
- from ppmatting.core import predict
- from ppmatting.utils import get_image_list
- from tools.model import get_model
- def seg(img_path: str, save_dir: str):
- image_list, image_dir = get_image_list(img_path)
- logger.info('Number of predict images = {}'.format(len(image_list)))
- model = get_model()
- return predict(
- model=model.model,
- model_path=model.path,
- transforms=model.transforms,
- image_list=image_list,
- image_dir=image_dir,
- trimap_list=None,
- save_dir=save_dir,
- fg_estimate=True)
- def has_seg(img_path: str, save_dir: str):
-
- paths = os.path.splitext(img_path)
- rgba = "{}_rgba{}".format(paths[0], paths[1])
- alpha = "{}_alpha{}".format(paths[0], paths[1])
- rgba_path = os.path.join(save_dir, rgba)
- alpha_path = os.path.join(save_dir, alpha)
- return os.path.exists(rgba_path) and os.path.exists(alpha_path), alpha_path, rgba_path
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