Merge branch 'review_7' into iccv_resnet
This commit is contained in:
@@ -31,7 +31,7 @@ config['cond_ae']['decoder_dims'] = config['cond_ae']['encoder_dims']
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config['cond_ae']['activation'] = 'linear'
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config['gpu'] = '5'
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config['gpu'] = '0'
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config['lr'] = 0.0005
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config['name'] = 'static_post_4'
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config['notes'] = 'convnext + convnext, | \
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@@ -0,0 +1,126 @@
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config = dict()
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# DON'T FORGET TO RESET SSIM LOSS USAGE
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# DON'T FORGET TO CHECK MODEL LOADING
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# DON'T FORGET TO CHECK IF STORE IN MEMORY
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# DON'T FORGET TO CHECK REG LOSS COEFF
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# DON'T FORGET TO LOAD FINAL UPSCALER UNLESS HAVE LEVEL 512
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# DON'T FORGET TO CHECK AVG GARMENT USED
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config['use_skinning'] = True # and deshaping
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config['remove_global_orientation'] = True
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config['use_curvature'] = True
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config['use_extra_losses'] = True # edge, collision, 3d mesh
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config['use_offsets'] = True
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config['use_norm_loss'] = True
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config['only_curvatures'] = False
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ablation_count = [config['use_skinning'], config['remove_global_orientation'], config['use_curvature'], config['use_extra_losses'], config['use_offsets']].count(False)
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assert ablation_count == 1 or ablation_count == 0
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config['gpu'] = '4'
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config['name'] = 'abl_all_resnet_r7'
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config['notes'] = ''
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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
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if config['use_skinning']:
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assert (config['use_offsets'] and config['avg_garment_path'] != '') or (not config['use_offsets'] and config['avg_garment_path'] == '')
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config['reg_loss_coeff'] = 0.1 # set to 0 if don't want to use edge+collision
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config['batch_size'] = 4
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config['resolution'] = 512
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config['is_skirt'] = False
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config['dataset_in_memory'] = False
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config['is_cape'] = False
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config['train_dir'] = '/home/workspace/local-data/train'
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config['valid_dir'] = '/home/workspace/local-data/valid'
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config['test_dir'] = '/home/workspace/data/dataset/test_ready'
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# config['frames_file'] = 'frames_dress_30k.txt'
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# config['frames_file_valid'] = 'frames_dress_30k.txt'
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# config['frames_file_test'] = 'frames_dress_30k.txt'
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config['static_model'] = 'checkpoints/post/static_r7_3'
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config['body_model'] = 'checkpoints/post/body_r7_3'
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config['curvature_model'] = 'checkpoints/post/curv_r7_3'
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config['smpl_res'] = 14475
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if config['is_cape']:
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config['smpl_res'] = 3638
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config['pretrained_model'] = ''
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###############
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config['lr'] = 0.0001# 0.0001
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###############
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config['starting_balancing_coeff'] = 0.001
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config['signature_dynamic'] = { 'id': (), 'frame_nr': (),
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'pose_shape': (72 + 11,),
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'uv_body_posed': (512, 256, 3),
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'mesh_body_posed': (config['smpl_res'], 3,),
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'mesh_posed': (config['smpl_res'], 3,),
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'uv_curvature': (512, 256, 7),
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}
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config['signature_static'] = { 'uv_static': (512, 256, 3),
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'mesh_mask': (config['smpl_res'],),
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'uv_mask': (512, 256,),
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}
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if config['use_skinning']:
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config['signature_dynamic']['uv_unposed'] = (512, 256, 3)
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config['signature_dynamic']['mesh_unposed'] = (config['smpl_res'], 3,)
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else:
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config['signature_dynamic']['uv_posed'] = (512, 256, 3)
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config['upscale_enhancer'] = ''
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config['freeze_encoders'] = True
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config['use_one_hot'] = False
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config['cvae'] = dict()
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config['cvae']['is_label'] = False
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config['cvae']['add_noise'] = True
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config['cvae']['noise_amount'] = 0.001
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config['cvae']['kernel_size'] = 7
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config['cvae']['encoder_depths'] = [3, 3, 3, 9, 3]
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config['cvae']['encoder_dims'] = [32, 64, 128, 256, 64]
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config['cvae']['decoder_depths'] = config['cvae']['encoder_depths']
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config['cvae']['decoder_dims'] = config['cvae']['encoder_dims']
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config['cond_ae_static'] = dict()
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config['cond_ae_static']['is_label'] = False
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config['cond_ae_static']['kernel_size'] = 7
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config['cond_ae_static']['bottleneck_size'] = 8
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config['cond_ae_static']['encoder_depths'] = [3, 3, 3, 9, 3]
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config['cond_ae_static']['encoder_dims'] = [16, 32, 64, 64, config['cond_ae_static']['bottleneck_size']]
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config['cond_ae_static']['decoder_depths'] = config['cond_ae_static']['encoder_depths']
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config['cond_ae_static']['decoder_dims'] = config['cond_ae_static']['encoder_dims']
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config['cond_ae_static']['activation'] = 'tanh'
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config['cond_ae_curv'] = dict()
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config['cond_ae_curv']['is_label'] = True
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config['cond_ae_curv']['kernel_size'] = 7
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config['cond_ae_curv']['bottleneck_size'] = 40
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config['cond_ae_curv']['encoder_depths'] = [3, 3, 9, 9, 3]
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config['cond_ae_curv']['encoder_dims'] = [16, 32, 64, 128, config['cond_ae_curv']['bottleneck_size']]
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config['cond_ae_curv']['decoder_depths'] = config['cond_ae_curv']['encoder_depths']
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config['cond_ae_curv']['decoder_dims'] = config['cond_ae_curv']['encoder_dims']
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config['cond_ae_curv']['activation'] = 'tanh'
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config['cond_ae_body'] = dict()
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config['cond_ae_body']['is_label'] = False
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config['cond_ae_body']['kernel_size'] = 7
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config['cond_ae_body']['bottleneck_size'] = 16
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config['cond_ae_body']['encoder_depths'] = [3, 3, 9, 9, 3]
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config['cond_ae_body']['encoder_dims'] = [16, 32, 64, 128, config['cond_ae_body']['bottleneck_size']]
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config['cond_ae_body']['decoder_depths'] = config['cond_ae_body']['encoder_depths']
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config['cond_ae_body']['decoder_dims'] = config['cond_ae_body']['encoder_dims']
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config['cond_ae_body']['activation'] = 'tanh'
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@@ -0,0 +1,51 @@
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config = dict()
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config['batch_size'] = 4
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config['train_dir'] = '/home/workspace/local-data/train'
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config['valid_dir'] = '/home/workspace/local-data/valid'
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config['test_dir'] = '/home/workspace/data/dataset/test_ready'
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config['use_filled'] = False
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config['resolution'] = 512
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config['is_skirt'] = False
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config['dataset_in_memory'] = False
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config['is_cape'] = False
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config['remove_global_orientation'] = True
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config['smpl_res'] = 14475
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if config['is_cape']:
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config['smpl_res'] = 3638
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config['latent_dim'] = 128
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config['cond_ae'] = dict()
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config['cond_ae']['is_label'] = False
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config['cond_ae']['upscale_output'] = False
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config['cond_ae']['latent_dim'] = config['latent_dim']
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config['cond_ae']['kernel_size'] = 7
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config['cond_ae']['bottleneck_size'] = 16
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config['cond_ae']['encoder_depths'] = [3, 3, 9, 9, 3]
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config['cond_ae']['encoder_dims'] = [16, 32, 64, 128, config['cond_ae']['bottleneck_size']]
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config['cond_ae']['decoder_depths'] = config['cond_ae']['encoder_depths']
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config['cond_ae']['decoder_dims'] = config['cond_ae']['encoder_dims']
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config['cond_ae']['activation'] = 'tanh'
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config['gpu'] = '4'
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config['lr'] = 0.0001
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config['name'] = 'body_r7_3'
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config['notes'] = 'resnet18'
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config['tags'] = ['review_7']
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config['cond_ae']['upscale_output'] = False
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config['pretrained_model'] = ''
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config['signature_dynamic'] = { 'id': (), 'frame_nr': (),
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'pose_shape': (72 + 11,),
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'uv_body_posed': (3, 512, 256,),
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'mesh_body_posed': (config['smpl_res'], 3,),
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}
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config['signature_static'] = {
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'mesh_mask': (config['smpl_res'],),
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}
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@@ -0,0 +1,50 @@
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config = dict()
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config['batch_size'] = 4
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config['train_dir'] = '/home/workspace/local-data/train'
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config['valid_dir'] = '/home/workspace/local-data/valid'
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config['test_dir'] = '/home/workspace/data/dataset/test_ready'
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config['use_filled'] = False
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config['resolution'] = 512
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config['is_skirt'] = False
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config['dataset_in_memory'] = False
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config['is_cape'] = False
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config['remove_global_orientation'] = True
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config['smpl_res'] = 14475
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if config['is_cape']:
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config['smpl_res'] = 3638
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config['latent_dim'] = 128
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config['cond_ae'] = dict()
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config['cond_ae']['is_label'] = True
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config['cond_ae']['upscale_output'] = False
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config['cond_ae']['latent_dim'] = config['latent_dim']
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config['cond_ae']['kernel_size'] = 7
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config['cond_ae']['bottleneck_size'] = 40
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config['cond_ae']['encoder_depths'] = [3, 3, 9, 9, 3]
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config['cond_ae']['encoder_dims'] = [16, 32, 64, 128, config['cond_ae']['bottleneck_size']]
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config['cond_ae']['decoder_depths'] = config['cond_ae']['encoder_depths']
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config['cond_ae']['decoder_dims'] = config['cond_ae']['encoder_dims']
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config['cond_ae']['activation'] = 'tanh'
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config['gpu'] = '3'
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config['lr'] = 0.001
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config['name'] = 'curv_r7_3'
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config['notes'] = 'resnet18'
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config['tags'] = ['review_7']
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config['cond_ae']['upscale_output'] = False
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config['pretrained_model'] = ''
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config['signature_dynamic'] = { 'id': (), 'frame_nr': (),
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'uv_curvature': (512, 256, 7),
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'mesh_curvature': (config['smpl_res'])
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}
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config['signature_static'] = { 'mesh_mask': (config['smpl_res'],),
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'uv_mask': (512, 256,),
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}
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@@ -0,0 +1,51 @@
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config = dict()
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config['batch_size'] = 4
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config['train_dir'] = '/home/workspace/local-data/train'
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config['valid_dir'] = '/home/workspace/local-data/valid'
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config['test_dir'] = '/home/workspace/data/dataset/test_ready'
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config['use_filled'] = False
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config['resolution'] = 512
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config['is_skirt'] = False
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config['dataset_in_memory'] = True
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config['is_cape'] = False
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config['remove_global_orientation'] = True
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config['smpl_res'] = 14475
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if config['is_cape']:
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config['smpl_res'] = 3638
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config['latent_dim'] = 128
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config['cond_ae'] = dict()
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config['cond_ae']['is_label'] = False
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config['cond_ae']['upscale_output'] = False
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config['cond_ae']['latent_dim'] = config['latent_dim']
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config['cond_ae']['kernel_size'] = 7
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config['cond_ae']['bottleneck_size'] = 8
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config['cond_ae']['encoder_depths'] = [3, 3, 3, 27, 3]
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config['cond_ae']['encoder_dims'] = [8, 16, 32, 32, config['cond_ae']['bottleneck_size']]
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config['cond_ae']['decoder_depths'] = config['cond_ae']['encoder_depths']
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config['cond_ae']['decoder_dims'] = config['cond_ae']['encoder_dims']
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config['cond_ae']['activation'] = 'linear'
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config['gpu'] = '6'
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config['lr'] = 0.0005
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config['name'] = 'static_r7_3'
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config['notes'] = 'resnet18 based, one more block'
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config['tags'] = ['review_7']
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config['cond_ae']['upscale_output'] = False
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config['pretrained_model'] = ''
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config['signature_dynamic'] = { 'id': (), 'frame_nr': (), }
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config['signature_static'] = { 'uv_static': (512, 256, 3),
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'mesh_static': (config['smpl_res'], 3,),
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'mesh_mask': (config['smpl_res'],),
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'uv_mask': (512, 256,),
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}
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