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- # Copyright (c) 2020 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 paddle
-
- from paddleseg.cvlibs import manager, Config, SegBuilder
- from paddleseg.utils import get_sys_env, logger, get_image_list, utils
- from paddleseg.core import predict
- from paddleseg.transforms import Compose
-
-
- def parse_args():
- parser = argparse.ArgumentParser(description='Model prediction')
-
- # Common params
- parser.add_argument("--config", help="The path of config file.", type=str)
- parser.add_argument(
- '--model_path',
- help='The path of trained weights for prediction.',
- type=str)
- parser.add_argument(
- '--image_path',
- help='The image to predict, which can be a path of image, or a file list containing image paths, or a directory including images',
- type=str)
- parser.add_argument(
- '--save_dir',
- help='The directory for saving the predicted results.',
- type=str,
- default='./output/result')
- parser.add_argument(
- '--device',
- help='Set the device place for predicting model.',
- default='gpu',
- choices=['cpu', 'gpu', 'xpu', 'npu', 'mlu'],
- type=str)
-
- # Data augment params
- parser.add_argument(
- '--aug_pred',
- help='Whether to use mulit-scales and flip augment for prediction',
- action='store_true')
- parser.add_argument(
- '--scales',
- nargs='+',
- help='Scales for augment, e.g., `--scales 0.75 1.0 1.25`.',
- type=float,
- default=1.0)
- parser.add_argument(
- '--flip_horizontal',
- help='Whether to use flip horizontally augment',
- action='store_true')
- parser.add_argument(
- '--flip_vertical',
- help='Whether to use flip vertically augment',
- action='store_true')
-
- # Sliding window evaluation params
- parser.add_argument(
- '--is_slide',
- help='Whether to predict images in sliding window method',
- action='store_true')
- parser.add_argument(
- '--crop_size',
- nargs=2,
- help='The crop size of sliding window, the first is width and the second is height.'
- 'For example, `--crop_size 512 512`',
- type=int)
- parser.add_argument(
- '--stride',
- nargs=2,
- help='The stride of sliding window, the first is width and the second is height.'
- 'For example, `--stride 512 512`',
- type=int)
-
- # Custom color map
- parser.add_argument(
- '--custom_color',
- nargs='+',
- help='Save images with a custom color map. Default: None, use paddleseg\'s default color map.',
- type=int)
-
- return parser.parse_args()
-
-
- def merge_test_config(cfg, args):
- test_config = cfg.test_config
- if 'aug_eval' in test_config:
- test_config.pop('aug_eval')
- if args.aug_pred:
- test_config['aug_pred'] = args.aug_pred
- test_config['scales'] = args.scales
- test_config['flip_horizontal'] = args.flip_horizontal
- test_config['flip_vertical'] = args.flip_vertical
- if args.is_slide:
- test_config['is_slide'] = args.is_slide
- test_config['crop_size'] = args.crop_size
- test_config['stride'] = args.stride
- if args.custom_color:
- test_config['custom_color'] = args.custom_color
- return test_config
-
-
- def main(args):
- assert args.config is not None, \
- 'No configuration file specified, please set --config'
- cfg = Config(args.config)
- builder = SegBuilder(cfg)
- test_config = merge_test_config(cfg, args)
-
- utils.show_env_info()
- utils.show_cfg_info(cfg)
- utils.set_device(args.device)
-
- model = builder.model
- transforms = Compose(builder.val_transforms)
- image_list, image_dir = get_image_list(args.image_path)
- logger.info('The number of images: {}'.format(len(image_list)))
-
- predict(
- model,
- model_path=args.model_path,
- transforms=transforms,
- image_list=image_list,
- image_dir=image_dir,
- save_dir=args.save_dir,
- **test_config)
-
-
- if __name__ == '__main__':
- args = parse_args()
- main(args)
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