PulseFocusPlatform/tools/infer_mot.py

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2022-06-01 11:18:00 +08:00
# 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.
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os
import sys
# add python path of PadleDetection to sys.path
parent_path = os.path.abspath(os.path.join(__file__, *(['..'] * 2)))
if parent_path not in sys.path:
sys.path.append(parent_path)
# ignore warning log
import warnings
warnings.filterwarnings('ignore')
import paddle
from paddle.distributed import ParallelEnv
from ppdet.core.workspace import load_config, merge_config
from ppdet.engine import Tracker
from ppdet.utils.check import check_gpu, check_version, check_config
from ppdet.utils.cli import ArgsParser
from ppdet.utils.logger import setup_logger
logger = setup_logger('train')
def parse_args():
parser = ArgsParser()
parser.add_argument(
'--video_file', type=str, default=None, help='Video name for tracking.')
parser.add_argument(
"--data_type",
type=str,
default='mot',
help='Data type of tracking dataset, should be in ["mot", "kitti"]')
parser.add_argument(
"--det_results_dir",
type=str,
default=None,
help="Directory name for detection results.")
parser.add_argument(
'--output_dir',
type=str,
default='output',
help='Directory name for output tracking results.')
parser.add_argument(
'--save_images',
action='store_true',
help='Save tracking results (image).')
parser.add_argument(
'--save_videos',
action='store_true',
help='Save tracking results (video).')
parser.add_argument(
'--show_image',
action='store_true',
help='Show tracking results (image).')
args = parser.parse_args()
return args
def run(FLAGS, cfg):
# build Tracker
tracker = Tracker(cfg, mode='test')
# load weights
if cfg.architecture in ['DeepSORT']:
if cfg.det_weights != 'None':
tracker.load_weights_sde(cfg.det_weights, cfg.reid_weights)
else:
tracker.load_weights_sde(None, cfg.reid_weights)
else:
tracker.load_weights_jde(cfg.weights)
# inference
tracker.mot_predict(
video_file=FLAGS.video_file,
data_type=FLAGS.data_type,
model_type=cfg.architecture,
output_dir=FLAGS.output_dir,
save_images=FLAGS.save_images,
save_videos=FLAGS.save_videos,
show_image=FLAGS.show_image,
det_results_dir=FLAGS.det_results_dir)
def main():
FLAGS = parse_args()
cfg = load_config(FLAGS.config)
merge_config(FLAGS.opt)
check_config(cfg)
check_gpu(cfg.use_gpu)
check_version()
place = 'gpu:{}'.format(ParallelEnv().dev_id) if cfg.use_gpu else 'cpu'
place = paddle.set_device(place)
run(FLAGS, cfg)
if __name__ == '__main__':
main()