abajaj commited on
Commit
e2a37d9
1 Parent(s): b8ed95b

Initial Comit

Browse files
app/Hackathon_setup/exp_recognition_model.py CHANGED
@@ -20,7 +20,7 @@ class facExpRec(torch.nn.Module):
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  def __init__(self, num_classes=7):
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  super(facExpRec, self).__init__()
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  self.conv_layers = nn.Sequential(
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- nn.Conv2d(in_channels=3, out_channels=32, kernel_size=3, stride=1, padding=1),
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  nn.ReLU(),
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  nn.MaxPool2d(kernel_size=2, stride=2),
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  nn.Conv2d(in_channels=32, out_channels=64, kernel_size=3, stride=1, padding=1),
@@ -32,7 +32,7 @@ class facExpRec(torch.nn.Module):
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  )
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  self.fc_layers = nn.Sequential(
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  nn.Flatten(),
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- nn.Linear(128 * 16 * 16, 512),
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  nn.ReLU(),
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  nn.Dropout(0.5),
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  nn.Linear(512, num_classes)
 
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  def __init__(self, num_classes=7):
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  super(facExpRec, self).__init__()
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  self.conv_layers = nn.Sequential(
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+ nn.Conv2d(in_channels=1, out_channels=32, kernel_size=3, stride=1, padding=1),
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  nn.ReLU(),
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  nn.MaxPool2d(kernel_size=2, stride=2),
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  nn.Conv2d(in_channels=32, out_channels=64, kernel_size=3, stride=1, padding=1),
 
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  )
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  self.fc_layers = nn.Sequential(
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  nn.Flatten(),
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+ nn.Linear(128 * 6 * 6, 512),
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  nn.ReLU(),
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  nn.Dropout(0.5),
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  nn.Linear(512, num_classes)