# Copyright 2021 biubug6 . 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.
# This code is modified by Zilliz.
#adapted from https://github.com/biubug6/Pytorch_Retinaface
from typing import List
import torch
import torch.nn.functional as F
from torch import nn
from towhee.models.retina_face.utils import conv_bn1x1, conv_bn
[docs]class RetinaFaceFPN(nn.Module):
"""
RetinaFaceFPN
Feature Pyramid Network for RetinaFace.
Args:
in_channels_list (`List[int]`):
input channel numbers ofr each FPN layer.
out_channels (`int`):
output channel number.
"""
[docs] def __init__(self,in_channels_list: List[int],out_channels:int):
super().__init__()
leaky = 0
if out_channels <= 64:
leaky = 0.1
self.output1 = conv_bn1x1(in_channels_list[0], out_channels, stride = 1, leaky = leaky)
self.output2 = conv_bn1x1(in_channels_list[1], out_channels, stride = 1, leaky = leaky)
self.output3 = conv_bn1x1(in_channels_list[2], out_channels, stride = 1, leaky = leaky)
self.merge1 = conv_bn(out_channels, out_channels, leaky = leaky)
self.merge2 = conv_bn(out_channels, out_channels, leaky = leaky)
[docs] def forward(self, x: torch.FloatTensor):
# names = list(input.keys())
x = list(x.values())
output1 = self.output1(x[0])
output2 = self.output2(x[1])
output3 = self.output3(x[2])
up3 = F.interpolate(output3, size=[output2.size(2), output2.size(3)], mode="nearest")
output2 = output2 + up3
output2 = self.merge2(output2)
up2 = F.interpolate(output2, size=[output1.size(2), output1.size(3)], mode="nearest")
output1 = output1 + up2
output1 = self.merge1(output1)
out = [output1, output2, output3]
return out
