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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.
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import paddle
from ppdet.core.workspace import register, create
from .meta_arch import BaseArch
from ppdet.modeling.mot.utils import Detection, get_crops, scale_coords, clip_box
__all__ = ['DeepSORT']
@register
class DeepSORT(BaseArch):
"""
DeepSORT network, see https://arxiv.org/abs/1703.07402
Args:
detector (object): detector model instance
reid (object): reid model instance
tracker (object): tracker instance
"""
__category__ = 'architecture'
def __init__(self,
detector='YOLOv3',
reid='PCBPyramid',
tracker='DeepSORTTracker'):
super(DeepSORT, self).__init__()
self.detector = detector
self.reid = reid
self.tracker = tracker
@classmethod
def from_config(cls, cfg, *args, **kwargs):
if cfg['detector'] != 'None':
detector = create(cfg['detector'])
else:
detector = None
reid = create(cfg['reid'])
tracker = create(cfg['tracker'])
return {
"detector": detector,
"reid": reid,
"tracker": tracker,
}
def _forward(self):
crops = self.inputs['crops']
outs = {}
outs['embeddings'] = self.reid(crops)
return outs
def get_pred(self):
return self._forward()
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