# Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. import argparse import os import sys import paddle import paddleseg from paddleseg.cvlibs import manager from paddleseg.utils import get_sys_env, logger LOCAL_PATH = os.path.dirname(os.path.abspath(__file__)) sys.path.append(os.path.join(LOCAL_PATH, '..')) manager.BACKBONES._components_dict.clear() manager.TRANSFORMS._components_dict.clear() import ppmatting from ppmatting.core import predict_video from ppmatting.utils import Config, MatBuilder def parse_args(): parser = argparse.ArgumentParser(description='Model training') parser.add_argument( "--config", dest="cfg", help="The config file.", default=None, type=str) parser.add_argument( '--model_path', dest='model_path', help='The path of model for prediction', type=str, default=None) parser.add_argument( '--video_path', dest='video_path', help='The path of video', default=None) parser.add_argument( '--save_dir', dest='save_dir', help='The directory for saving the model snapshot', type=str, default='./output/results') parser.add_argument( '--fg_estimate', default=True, type=eval, choices=[True, False], help='Whether to estimate foreground when predicting.') parser.add_argument( '--device', dest='device', help='Set the device type, which may be GPU, CPU or XPU.', default='gpu', type=str) return parser.parse_args() def main(args): assert args.cfg is not None, \ 'No configuration file specified, please set --config' cfg = Config(args.cfg) builder = MatBuilder(cfg) paddleseg.utils.show_env_info() paddleseg.utils.show_cfg_info(cfg) paddleseg.utils.set_device(args.device) model = builder.model transforms = ppmatting.transforms.Compose(builder.val_transforms) predict_video( model, model_path=args.model_path, transforms=transforms, video_path=args.video_path, save_dir=args.save_dir, fg_estimate=args.fg_estimate) if __name__ == '__main__': args = parse_args() main(args)