You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
98 lines
3.1 KiB
98 lines
3.1 KiB
# Copyright (c) 2022 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 paddlers_slim.models.ppdet.core.workspace import register, create |
|
from .meta_arch import BaseArch |
|
|
|
__all__ = ['TTFNet'] |
|
|
|
|
|
@register |
|
class TTFNet(BaseArch): |
|
""" |
|
TTFNet network, see https://arxiv.org/abs/1909.00700 |
|
|
|
Args: |
|
backbone (object): backbone instance |
|
neck (object): 'TTFFPN' instance |
|
ttf_head (object): 'TTFHead' instance |
|
post_process (object): 'BBoxPostProcess' instance |
|
""" |
|
|
|
__category__ = 'architecture' |
|
__inject__ = ['post_process'] |
|
|
|
def __init__(self, |
|
backbone='DarkNet', |
|
neck='TTFFPN', |
|
ttf_head='TTFHead', |
|
post_process='BBoxPostProcess'): |
|
super(TTFNet, self).__init__() |
|
self.backbone = backbone |
|
self.neck = neck |
|
self.ttf_head = ttf_head |
|
self.post_process = post_process |
|
|
|
@classmethod |
|
def from_config(cls, cfg, *args, **kwargs): |
|
backbone = create(cfg['backbone']) |
|
|
|
kwargs = {'input_shape': backbone.out_shape} |
|
neck = create(cfg['neck'], **kwargs) |
|
|
|
kwargs = {'input_shape': neck.out_shape} |
|
ttf_head = create(cfg['ttf_head'], **kwargs) |
|
|
|
return { |
|
'backbone': backbone, |
|
'neck': neck, |
|
"ttf_head": ttf_head, |
|
} |
|
|
|
def _forward(self): |
|
body_feats = self.backbone(self.inputs) |
|
body_feats = self.neck(body_feats) |
|
hm, wh = self.ttf_head(body_feats) |
|
if self.training: |
|
return hm, wh |
|
else: |
|
bbox, bbox_num = self.post_process(hm, wh, self.inputs['im_shape'], |
|
self.inputs['scale_factor']) |
|
return bbox, bbox_num |
|
|
|
def get_loss(self, ): |
|
loss = {} |
|
heatmap = self.inputs['ttf_heatmap'] |
|
box_target = self.inputs['ttf_box_target'] |
|
reg_weight = self.inputs['ttf_reg_weight'] |
|
hm, wh = self._forward() |
|
head_loss = self.ttf_head.get_loss(hm, wh, heatmap, box_target, |
|
reg_weight) |
|
loss.update(head_loss) |
|
total_loss = paddle.add_n(list(loss.values())) |
|
loss.update({'loss': total_loss}) |
|
return loss |
|
|
|
def get_pred(self): |
|
bbox_pred, bbox_num = self._forward() |
|
output = { |
|
"bbox": bbox_pred, |
|
"bbox_num": bbox_num, |
|
} |
|
return output
|
|
|