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| author | Gustaf Rydholm <gustaf.rydholm@gmail.com> | 2021-04-07 22:12:10 +0200 |
|---|---|---|
| committer | Gustaf Rydholm <gustaf.rydholm@gmail.com> | 2021-04-07 22:12:10 +0200 |
| commit | 8afa8e1c6e9623b0dea86236da04b2b4173e9443 (patch) | |
| tree | 4c9462507b3b3076aa26f08ab629f64b90aed2cb /text_recognizer/networks/residual_network.py | |
| parent | 33190bc9c0c377edab280efe4b0bd0e53bb6cb00 (diff) | |
Fixed typing and typos, train script load config, reformatted
Diffstat (limited to 'text_recognizer/networks/residual_network.py')
| -rw-r--r-- | text_recognizer/networks/residual_network.py | 6 |
1 files changed, 1 insertions, 5 deletions
diff --git a/text_recognizer/networks/residual_network.py b/text_recognizer/networks/residual_network.py index da7553d..c33f419 100644 --- a/text_recognizer/networks/residual_network.py +++ b/text_recognizer/networks/residual_network.py @@ -20,11 +20,7 @@ class Conv2dAuto(nn.Conv2d): def conv_bn(in_channels: int, out_channels: int, *args, **kwargs) -> nn.Sequential: """3x3 convolution with batch norm.""" - conv3x3 = partial( - Conv2dAuto, - kernel_size=3, - bias=False, - ) + conv3x3 = partial(Conv2dAuto, kernel_size=3, bias=False,) return nn.Sequential( conv3x3(in_channels, out_channels, *args, **kwargs), nn.BatchNorm2d(out_channels), |