157 lines
4.4 KiB
Python
157 lines
4.4 KiB
Python
# Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from __future__ import absolute_import
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from __future__ import division
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from __future__ import print_function
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import os
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import sys
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# add python path of PaddleDetection to sys.path
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parent_path = os.path.abspath(os.path.join(__file__, *(['..'] * 2)))
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sys.path.insert(0, parent_path)
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# ignore warning log
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import warnings
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warnings.filterwarnings('ignore')
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import paddle
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from ppdet.core.workspace import load_config, merge_config
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from ppdet.engine import Tracker
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from ppdet.utils.check import check_gpu, check_npu, check_xpu, check_mlu, check_version, check_config
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from ppdet.utils.cli import ArgsParser
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def parse_args():
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parser = ArgsParser()
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parser.add_argument(
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'--video_file', type=str, default=None, help='Video name for tracking.')
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parser.add_argument(
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'--frame_rate',
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type=int,
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default=-1,
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help='Video frame rate for tracking.')
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parser.add_argument(
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"--image_dir",
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type=str,
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default=None,
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help="Directory for images to perform inference on.")
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parser.add_argument(
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"--det_results_dir",
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type=str,
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default='',
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help="Directory name for detection results.")
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parser.add_argument(
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'--output_dir',
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type=str,
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default='output',
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help='Directory name for output tracking results.')
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parser.add_argument(
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'--save_images',
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action='store_true',
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help='Save tracking results (image).')
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parser.add_argument(
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'--save_videos',
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action='store_true',
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help='Save tracking results (video).')
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parser.add_argument(
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'--show_image',
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action='store_true',
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help='Show tracking results (image).')
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parser.add_argument(
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'--scaled',
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type=bool,
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default=False,
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help="Whether coords after detector outputs are scaled, False in JDE YOLOv3 "
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"True in general detector.")
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parser.add_argument(
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"--draw_threshold",
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type=float,
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default=0.5,
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help="Threshold to reserve the result for visualization.")
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args = parser.parse_args()
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return args
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def run(FLAGS, cfg):
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# build Tracker
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tracker = Tracker(cfg, mode='test')
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# load weights
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if cfg.architecture in ['DeepSORT', 'ByteTrack']:
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tracker.load_weights_sde(cfg.det_weights, cfg.reid_weights)
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else:
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tracker.load_weights_jde(cfg.weights)
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# inference
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tracker.mot_predict_seq(
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video_file=FLAGS.video_file,
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frame_rate=FLAGS.frame_rate,
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image_dir=FLAGS.image_dir,
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data_type=cfg.metric.lower(),
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model_type=cfg.architecture,
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output_dir=FLAGS.output_dir,
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save_images=FLAGS.save_images,
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save_videos=FLAGS.save_videos,
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show_image=FLAGS.show_image,
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scaled=FLAGS.scaled,
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det_results_dir=FLAGS.det_results_dir,
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draw_threshold=FLAGS.draw_threshold)
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def main():
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FLAGS = parse_args()
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cfg = load_config(FLAGS.config)
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merge_config(FLAGS.opt)
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# disable npu in config by default
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if 'use_npu' not in cfg:
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cfg.use_npu = False
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# disable xpu in config by default
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if 'use_xpu' not in cfg:
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cfg.use_xpu = False
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if 'use_gpu' not in cfg:
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cfg.use_gpu = False
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# disable mlu in config by default
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if 'use_mlu' not in cfg:
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cfg.use_mlu = False
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if cfg.use_gpu:
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place = paddle.set_device('gpu')
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elif cfg.use_npu:
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place = paddle.set_device('npu')
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elif cfg.use_xpu:
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place = paddle.set_device('xpu')
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elif cfg.use_mlu:
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place = paddle.set_device('mlu')
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else:
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place = paddle.set_device('cpu')
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check_config(cfg)
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check_gpu(cfg.use_gpu)
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check_npu(cfg.use_npu)
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check_xpu(cfg.use_xpu)
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check_mlu(cfg.use_mlu)
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check_version()
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run(FLAGS, cfg)
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if __name__ == '__main__':
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main()
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