|
| | __init__ (self, in_channels, out_channels, bn_norm, stride=1, groups=1) |
| |
| | forward (self, x) |
| |
1x1 convolution + bn + relu.
Definition at line 74 of file osnet.py.
◆ __init__()
| fastreid.modeling.backbones.osnet.Conv1x1.__init__ |
( |
| self, |
|
|
| in_channels, |
|
|
| out_channels, |
|
|
| bn_norm, |
|
|
| stride = 1, |
|
|
| groups = 1 ) |
Definition at line 77 of file osnet.py.
77 def __init__(self, in_channels, out_channels, bn_norm, stride=1, groups=1):
78 super(Conv1x1, self).__init__()
79 self.conv = nn.Conv2d(
80 in_channels,
81 out_channels,
82 1,
83 stride=stride,
84 padding=0,
85 bias=False,
86 groups=groups
87 )
88 self.bn = get_norm(bn_norm, out_channels)
89 self.relu = nn.ReLU(inplace=True)
90
◆ forward()
| fastreid.modeling.backbones.osnet.Conv1x1.forward |
( |
| self, |
|
|
| x ) |
Definition at line 91 of file osnet.py.
91 def forward(self, x):
92 x = self.conv(x)
93 x = self.bn(x)
94 x = self.relu(x)
95 return x
96
97
◆ bn
| fastreid.modeling.backbones.osnet.Conv1x1.bn |
◆ conv
| fastreid.modeling.backbones.osnet.Conv1x1.conv |
◆ relu
| fastreid.modeling.backbones.osnet.Conv1x1.relu |
The documentation for this class was generated from the following file:
- smreid/fastreid/modeling/backbones/osnet.py