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try less gnn

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luni
2023-02-26 10:41:11 +00:00
parent 5ecf87c401
commit 45cbfe4da0
3 changed files with 5 additions and 5 deletions
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aaa_helpers.txt
+1 -1
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@@ -8,7 +8,7 @@ nohup python auto_encoder_body.py --name="lhunor_body_iccv_1_skirt" > nohup/iccv
nohup python auto_encoder_curv.py --name="lhunor_curv_iccv_1 " > nohup/iccv/encoders/curv_iccv_1.out 2>&1 & nohup python auto_encoder_curv.py --name="lhunor_curv_iccv_1 " > nohup/iccv/encoders/curv_iccv_1.out 2>&1 &
nohup python auto_encoder_curv.py --name="lhunor_curv_iccv_1_skirt" > nohup/iccv/encoders/curv_iccv_1_skirt.out 2>&1 & nohup python auto_encoder_curv.py --name="lhunor_curv_iccv_1_skirt" > nohup/iccv/encoders/curv_iccv_1_skirt.out 2>&1 &
nohup python auto_encoder_curv.py --name="lhunor_curv_iccv_1_cape_f" > nohup/iccv/encoders/curv_iccv_1_cape_f.out 2>&1 & nohup python auto_encoder_curv.py --name="lhunor_curv_iccv_1_cape_f" > nohup/iccv/encoders/curv_iccv_1_cape_f.out 2>&1 &
nohup python cvae.py --name="lhunor_cvae_iccv_gnn_3" > nohup/iccv/cvae_iccv_gnn_3.out 2>&1 & nohup python cvae.py --name="lhunor_cvae_iccv_gnn_5" > nohup/iccv/cvae_iccv_gnn_5.out 2>&1 &
skirts!!!! skirts!!!!
pyramid next week pyramid next week
configs/iccv/config_abl_all.py
+2 -2
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@@ -19,8 +19,8 @@ config['only_curvatures'] = False
ablation_count = [config['use_skinning'], config['remove_global_orientation'], config['use_curvature'], config['use_extra_losses'], config['use_offsets']].count(False) ablation_count = [config['use_skinning'], config['remove_global_orientation'], config['use_curvature'], config['use_extra_losses'], config['use_offsets']].count(False)
assert ablation_count == 1 or ablation_count == 0 assert ablation_count == 1 or ablation_count == 0
config['gpu'] = '6' config['gpu'] = '0'
config['name'] = 'iccv_gnn_4' config['name'] = 'iccv_gnn_5'
config['notes'] = '' config['notes'] = ''
config['tags'] = ['iccv', 'gnn'] config['tags'] = ['iccv', 'gnn']
models/gnn.py
+2 -2
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@@ -18,7 +18,7 @@ class Smoother(tf.keras.Model):
self.a = sp_matrix_to_sp_tensor(sio.loadmat("custom_utils/ssmpl0.mat")['L'].tocoo()) self.a = sp_matrix_to_sp_tensor(sio.loadmat("custom_utils/ssmpl0.mat")['L'].tocoo())
self.conv1 = GCNConv(3, activation='tanh', use_bias=False) self.conv1 = GCNConv(3, activation='tanh', use_bias=False)
self.conv2 = GCNConv(3, activation='tanh', use_bias=False) self.conv2 = GCNConv(3, activation='tanh', use_bias=False)
self.conv3 = GCNConv(3, activation='tanh', use_bias=False) # self.conv3 = GCNConv(3, activation='tanh', use_bias=False)
# self.conv4 = GCNConv(64, activation='tanh', use_bias=False) # self.conv4 = GCNConv(64, activation='tanh', use_bias=False)
# self.conv5 = GCNConv(64, activation='tanh', use_bias=False) # self.conv5 = GCNConv(64, activation='tanh', use_bias=False)
self.conv6 = GCNConv(3, activation='tanh', use_bias=False) self.conv6 = GCNConv(3, activation='tanh', use_bias=False)
@@ -27,7 +27,7 @@ class Smoother(tf.keras.Model):
x = inputs x = inputs
x = self.conv1([x, self.a], training=training) x = self.conv1([x, self.a], training=training)
x = self.conv2([x, self.a], training=training) x = self.conv2([x, self.a], training=training)
x = self.conv3([x, self.a], training=training) # x = self.conv3([x, self.a], training=training)
# x = self.conv4([x, self.a], training=training) # x = self.conv4([x, self.a], training=training)
# x = self.conv5([x, self.a], training=training) # x = self.conv5([x, self.a], training=training)
x = self.conv6([x, self.a], training=training) x = self.conv6([x, self.a], training=training)