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- # Copyright (c) 2021 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
- from paddleseg.utils import get_sys_env, logger
- from core import predictEnsemble
- import datasets, models
-
-
- def parse_args():
- parser = argparse.ArgumentParser(description='Model prediction')
-
- # params of prediction
- 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(
- "--config_hard",
- dest="cfg_hard",
- help="The config file.",
- default=None,
- type=str)
- parser.add_argument(
- '--model_path_hard',
- dest='model_path_hard',
- help='The path of model for prediction',
- type=str,
- default=None)
- parser.add_argument(
- '--image_path',
- dest='image_path',
- help='The path of image, it can be a file or a directory including images',
- type=str,
- default=None)
- parser.add_argument(
- '--save_dir',
- dest='save_dir',
- help='The directory for saving the predicted results',
- type=str,
- default='./output/result')
-
- # augment for prediction
- parser.add_argument(
- '--aug_pred',
- dest='aug_pred',
- help='Whether to use mulit-scales and flip augment for prediction',
- action='store_true')
- parser.add_argument(
- '--scales',
- dest='scales',
- nargs='+',
- help='Scales for augment',
- type=float,
- default=1.0)
- parser.add_argument(
- '--flip_horizontal',
- dest='flip_horizontal',
- help='Whether to use flip horizontally augment',
- action='store_true')
- parser.add_argument(
- '--flip_vertical',
- dest='flip_vertical',
- help='Whether to use flip vertically augment',
- action='store_true')
-
- # sliding window prediction
- parser.add_argument(
- '--is_slide',
- dest='is_slide',
- help='Whether to prediction by sliding window',
- action='store_true')
- parser.add_argument(
- '--crop_size',
- dest='crop_size',
- nargs=2,
- help='The crop size of sliding window, the first is width and the second is height.',
- type=int,
- default=None)
- parser.add_argument(
- '--stride',
- dest='stride',
- nargs=2,
- help='The stride of sliding window, the first is width and the second is height.',
- type=int,
- default=None)
-
- return parser.parse_args()
-
-
- def get_image_list(image_path):
- """Get image list"""
- valid_suffix = [
- '.JPEG', '.jpeg', '.JPG', '.jpg', '.BMP', '.bmp', '.PNG', '.png'
- ]
- image_list = []
- image_dir = None
- if os.path.isfile(image_path):
- if os.path.splitext(image_path)[-1] in valid_suffix:
- image_list.append(image_path)
- elif os.path.isdir(image_path):
- image_dir = image_path
- for root, dirs, files in os.walk(image_path):
- for f in files:
- if '.ipynb_checkpoints' in root:
- continue
- if os.path.splitext(f)[-1] in valid_suffix:
- image_list.append(os.path.join(root, f))
- else:
- raise FileNotFoundError(
- '`--image_path` is not found. it should be an image file or a directory including images'
- )
-
- if len(image_list) == 0:
- raise RuntimeError('There are not image file in `--image_path`')
-
- return image_list, image_dir
-
-
- def main(args):
- env_info = get_sys_env()
- place = 'gpu' if env_info['Paddle compiled with cuda'] and env_info[
- 'GPUs used'] else 'cpu'
-
- paddle.set_device(place)
- if not args.cfg:
- raise RuntimeError('No configuration file specified.')
-
- cfg = Config(args.cfg)
- val_dataset = cfg.val_dataset
- cfg_hard = Config(args.cfg_hard)
-
- if not val_dataset:
- raise RuntimeError(
- 'The verification dataset is not specified in the configuration file.'
- )
-
- msg = '\n---------------Config Information---------------\n'
- msg += str(cfg)
- msg += '------------------------------------------------'
- logger.info(msg)
-
- model = cfg.model
- model_hard = cfg_hard.model
- transforms = val_dataset.transforms
- image_list, image_dir = get_image_list(args.image_path)
- logger.info('Number of predict images = {}'.format(len(image_list)))
- predictEnsemble(
- model,
- model_hard,
- model_path=args.model_path,
- model_path_hard=args.model_path_hard,
- transforms=transforms,
- image_list=image_list,
- image_dir=image_dir,
- save_dir=args.save_dir,
- aug_pred=args.aug_pred,
- scales=args.scales,
- flip_horizontal=args.flip_horizontal,
- flip_vertical=args.flip_vertical,
- is_slide=args.is_slide,
- crop_size=args.crop_size,
- stride=args.stride, )
-
-
- if __name__ == '__main__':
- args = parse_args()
- main(args)
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