train cape_m encoders
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@@ -6,10 +6,11 @@ nohup python auto_encoder_static.py --name="lhunor_static_iccv_1_cape_f" > nohup
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nohup python auto_encoder_static.py --name="lhunor_static_iccv_1_cape_m" > nohup/iccv/encoders/static_iccv_1_cape_m.out 2>&1 &
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nohup python auto_encoder_static.py --name="lhunor_static_iccv_1_cape_m" > nohup/iccv/encoders/static_iccv_1_cape_m.out 2>&1 &
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nohup python auto_encoder_body.py --name="lhunor_body_iccv_1" > nohup/iccv/encoders/body_iccv_1.out 2>&1 &
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nohup python auto_encoder_body.py --name="lhunor_body_iccv_1" > nohup/iccv/encoders/body_iccv_1.out 2>&1 &
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nohup python auto_encoder_body.py --name="lhunor_body_iccv_1_skirt" > nohup/iccv/encoders/body_iccv_1_skirt.out 2>&1 &
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nohup python auto_encoder_body.py --name="lhunor_body_iccv_1_skirt" > nohup/iccv/encoders/body_iccv_1_skirt.out 2>&1 &
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nohup python auto_encoder_body.py --name="lhunor_body_iccv_1_skirt" > nohup/iccv/encoders/body_iccv_1_skirt.out 2>&1 &
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nohup python auto_encoder_body.py --name="lhunor_body_iccv_1_cape_m" > nohup/iccv/encoders/body_iccv_1_cape_m.out 2>&1 &
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nohup python auto_encoder_curv.py --name="lhunor_curv_iccv_1 " > nohup/iccv/encoders/curv_iccv_1.out 2>&1 &
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nohup python auto_encoder_curv.py --name="lhunor_curv_iccv_1 " > nohup/iccv/encoders/curv_iccv_1.out 2>&1 &
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nohup python auto_encoder_curv.py --name="lhunor_curv_iccv_1_skirt" > nohup/iccv/encoders/curv_iccv_1_skirt.out 2>&1 &
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nohup python auto_encoder_curv.py --name="lhunor_curv_iccv_1_skirt" > nohup/iccv/encoders/curv_iccv_1_skirt.out 2>&1 &
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nohup python auto_encoder_curv.py --name="lhunor_curv_iccv_1_cape_f" > nohup/iccv/encoders/curv_iccv_1_cape_f.out 2>&1 &
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nohup python auto_encoder_curv.py --name="lhunor_curv_iccv_1_cape_f" > nohup/iccv/encoders/curv_iccv_1_cape_f.out 2>&1 &
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nohup python auto_encoder_curv.py --name="lhunor_curv_iccv_1_cape_m" > nohup/iccv/encoders/curv_iccv_1_cape_m.out 2>&1 &
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skirts!!!!
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skirts!!!!
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pyramid next week
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pyramid next week
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@@ -1,6 +1,6 @@
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import os
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import os
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import sys
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import sys
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from configs.iccv.config_ae_body_cape_f import config
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from configs.iccv.config_ae_body_cape_m import config
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os.environ["CUDA_VISIBLE_DEVICES"] = config['gpu']
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os.environ["CUDA_VISIBLE_DEVICES"] = config['gpu']
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import tensorflow as tf
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import tensorflow as tf
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@@ -1,6 +1,6 @@
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import os
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import os
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import sys
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import sys
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from configs.iccv.config_ae_curv_cape_f import config
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from configs.iccv.config_ae_curv_cape_m import config
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os.environ["CUDA_VISIBLE_DEVICES"] = config['gpu']
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os.environ["CUDA_VISIBLE_DEVICES"] = config['gpu']
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import tensorflow as tf
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import tensorflow as tf
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@@ -0,0 +1,52 @@
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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/cape_processed/train/male'
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config['valid_dir'] = '/home/workspace/local-data/cape_processed/test/male'
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config['test_dir'] = '/home/workspace/local-data/cape_processed/test/male'
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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'] = True
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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['bottleneck_scale'] = 2
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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 * config['bottleneck_scale']
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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_iccv_1_cape_m'
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config['notes'] = ''
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config['tags'] = ['iccv', 'body', 'cape_m']
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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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config = dict()
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config['batch_size'] = 4
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config['train_dir'] = '/home/workspace/local-data/cape_processed/train/male'
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config['valid_dir'] = '/home/workspace/local-data/cape_processed/test/male'
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config['test_dir'] = '/home/workspace/local-data/cape_processed/test/male'
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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'] = True
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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['bottleneck_scale'] = 2
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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 * config['bottleneck_scale']
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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'] = '5'
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config['lr'] = 0.001
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config['name'] = 'curv_iccv_1_cape_m'
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config['notes'] = ''
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config['tags'] = ['iccv', 'curv', 'cape_m']
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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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