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new weight trials, 10_3 didn't run

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luni
2023-02-26 11:04:45 +00:00
parent d8337bfcfe
commit 03b5eae0d8
3 changed files with 9 additions and 9 deletions
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aaa_helpers.txt
+1 -1
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@@ -1,4 +1,4 @@
nohup python cvae.py --name="lhunor_weights_test_6" > nohup/iccv/weights_test_6.out 2>&1 & nohup python cvae.py --name="lhunor_weights_test_10_2" > nohup/iccv/weights_test_10_2.out 2>&1 &
nohup python evaluate_ae.py --name iccv_weights_test_6 > nohup/iccv/evaluate_iccv_weights_test_6.out 2>&1 & nohup python evaluate_ae.py --name iccv_weights_test_6 > nohup/iccv/evaluate_iccv_weights_test_6.out 2>&1 &
nohup python calculate_error.py --name iccv_weights_test_6 > nohup/iccv/error_iccv_weights_test_6.out 2>&1 & nohup python calculate_error.py --name iccv_weights_test_6 > nohup/iccv/error_iccv_weights_test_6.out 2>&1 &
configs/config_abl_all_post.py
+6 -6
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@@ -19,13 +19,13 @@ 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'] = '5' config['gpu'] = '6'
config['name'] = 'iccv_weights_test_11' config['name'] = 'iccv_weights_test_10_3'
config['notes'] = 'smaller weight loss coeff, 1e-6, convolutional weight learning, add gnn but smaller and remove softmac from weights convnext' config['notes'] = 'smaller weight loss coeff, 1e-6, convolutional weight learning, add gnn but smaller, same as 10 but training from zero and no avg garment'
config['avg_garment_path'] = 'custom_data/train_no_shape_avg_uv.npy' #custom_data/train_no_shape_avg_uv.npy # train_no_shape_avg_uv train_no_shape_one_hot_avg_uv config['avg_garment_path'] = ''# 'custom_data/train_no_shape_avg_uv.npy' #custom_data/train_no_shape_avg_uv.npy # train_no_shape_avg_uv train_no_shape_one_hot_avg_uv
if config['use_skinning']: # if config['use_skinning']:
assert (config['use_offsets'] and config['avg_garment_path'] != '') or (not config['use_offsets'] and config['avg_garment_path'] == '') # assert (config['use_offsets'] and config['avg_garment_path'] != '') or (not config['use_offsets'] and config['avg_garment_path'] == '')
config['reg_loss_coeff'] = 0.1 # set to 0 if don't want to use edge+collision config['reg_loss_coeff'] = 0.1 # set to 0 if don't want to use edge+collision
convnext/models/convnext_tf.py
+2 -2
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@@ -258,8 +258,8 @@ class ConvNeXtReverse(tf.keras.Model):
if not learn_weights: if not learn_weights:
self.last = Dense(3, activation='tanh') self.last = Dense(3, activation='tanh')
else: else:
# self.last = Activation('softmax') self.last = Activation('softmax')
self.last = lambda x, training: x # self.last = lambda x, training: x
# self.last = Dense(24, activation='softmax') # self.last = Dense(24, activation='softmax')