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improve edge weight #10

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improve edge weight #10

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21 changes: 15 additions & 6 deletions libs/models/networks/graph_connectivity_model.py
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Original file line number Diff line number Diff line change
Expand Up @@ -56,15 +56,24 @@ def forward(self, x):


class EdgeWeights(nn.Module):
def __init__(self, embedding_size=1, hidden=4):
def __init__(self, class_embedding_size, hidden_sizes):
super(EdgeWeights, self).__init__()
self.linear = Linear(embedding_size + 2, hidden, activation="relu")
self.out = Linear(hidden, 1, activation="relu")
layers = []
# self.linear = Linear(embedding_size + 2, hidden, activation="relu")
current_dim = class_embedding_size + 2 # +2 for pair of node confidences
for h in hidden_sizes:
layers.append(Linear(current_dim, h, activation="relu"))
current_dim = h
self.hidden_layers = nn.ModuleList(layers)
self.out = Linear(current_dim, 1, activation="relu")

def forward(self, x):
x = self.linear(x)
x = self.out(x)
return x
# x = self.linear(x)
# x = self.out(x)
for layer in self.hidden_layers:
x = layer(x)
out = self.out(x)
return out


class VisualFeatureEmbedding(nn.Module):
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2 changes: 1 addition & 1 deletion scripts/train_300w.py
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Expand Up @@ -31,7 +31,7 @@
graph_model_config = {"num_classes": 68,
"embedding_hidden_sizes": [32],
"class_embedding_size": 1,
"edge_hidden_size": 4,
"edge_hidden_size": [128, 64, 64],
# "visual_feature_dim": 1920, # Stacked Hourglass
"visual_feature_dim": 270, # HRNet18
"visual_hidden_sizes": [512, 128, 32],
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2 changes: 1 addition & 1 deletion scripts/train_wflw.py
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Original file line number Diff line number Diff line change
Expand Up @@ -28,7 +28,7 @@
graph_model_config = {"num_classes": 98,
"embedding_hidden_sizes": [32],
"class_embedding_size": 1,
"edge_hidden_size": 4,
"edge_hidden_size": [128, 64, 64],
# "visual_feature_dim": 1920, # Stacked Hourglass
"visual_feature_dim": 270, # HRNet18
"visual_hidden_sizes": [512, 128, 32],
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