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Add configs for sanity check experiments
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79
...ce_marg1=0.5_scal1=32_wd=1e-5_opt=SGD_sched=CosAnn_reset-opt=True_lamb1=1.0_lamb2=1.0.yml
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| Original file line number | Diff line number | Diff line change |
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| @@ -0,0 +1,79 @@ | ||
| # Mica config | ||
|
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||
| pretrained_model_path: '/home/bjgbiesseck/GitHub/BOVIFOCR_MICA_3Dreconstruction/data/pretrained/mica.tar' | ||
|
|
||
| dataset: | ||
| # root: '/home/bjgbiesseck/datasets/' | ||
| root: '/datasets1/bjgbiesseck/MICA' | ||
|
|
||
| # training_data: [ 'LYHM', 'D3DFACS', 'BU3DFE', 'FRGC', 'Stirling', 'FaceWarehouse', 'BP4D' ] # original | ||
| # training_data: [ 'FRGC' ] # BERNARDO | ||
| # training_data: [ 'Stirling' ] # BERNARDO | ||
| # training_data: [ 'FRGC', 'Stirling', 'LYHM', 'FLORENCE' ] # BERNARDO | ||
| # training_data: [ 'FRGC', 'LYHM', 'Stirling', 'FACEWAREHOUSE' ] # BERNARDO | ||
| training_data: [ 'FRGC', 'LYHM', 'Stirling', 'FACEWAREHOUSE', 'FLORENCE' ] # BERNARDO | ||
| # training_data: [ 'FLORENCE' ] # BERNARDO | ||
| # training_data: [ 'FRGC_10classes' ] # BERNARDO | ||
|
|
||
| # eval_data: [ 'FRGC' ] # original | ||
| # eval_data: [ 'FACEWAREHOUSE' ] # Bernardo | ||
| # eval_data: [ 'Stirling' ] # Bernardo | ||
| eval_data: [ 'FRGC', 'LYHM', 'Stirling', 'FACEWAREHOUSE', 'FLORENCE' ] # BERNARDO | ||
| # eval_data: [ 'FLORENCE' ] # BERNARDO | ||
| # eval_data: [ 'FRGC_10classes' ] # original | ||
|
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| train_prop: 0.8 | ||
| eval_prop: 0.2 | ||
|
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| num_workers: 4 # original | ||
| # num_workers: 1 # BERNARDO | ||
|
|
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| # batch_size: 8 | ||
| batch_size: 10 | ||
|
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||
| # K: 2 # original | ||
| K: 1 # BERNARDO | ||
|
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| # Bernardo | ||
| output_dir_annotation: '' | ||
|
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||
| train: | ||
| lr: 1e-5 | ||
| arcface_lr: 1e-5 | ||
| face_recog_lr: 1e-5 | ||
| lambda1: 1.0 # reconstruction | ||
| lambda2: 1.0 # recognition | ||
| weight_decay: 1e-5 | ||
| use_mask: True | ||
| reset_optimizer: True | ||
| max_steps: 160000 | ||
| log_steps: 50 # original | ||
| # log_steps: 20 # Bernardo | ||
| val_steps: 300 # original | ||
| # val_steps: 100 # Bernardo | ||
| vis_steps: 1200 # original | ||
| # vis_steps: 100 # Bernardo | ||
| val_save_img: 1200 # original | ||
| # val_save_img: 100 # Bernardo | ||
| checkpoint_steps: 1000 | ||
| checkpoint_epochs_steps: 10000 | ||
| # loss: 'cross-entropy' # Bernardo | ||
| loss: 'arcface' # Bernardo | ||
| arcface_margin1: 0.5 # Bernardo | ||
| arcface_scale1: 32.0 # Bernardo | ||
|
|
||
| model: | ||
| use_pretrained: False # original | ||
| # use_pretrained: True # Bernardo | ||
| n_shape: 300 | ||
| # name: 'mica' # original | ||
| name: 'micamultitaskfacerecognition1' | ||
|
|
||
| face_embed: '3dmm' # Bernardo | ||
| # face_embed: 'arcface' # Bernardo | ||
|
|
||
| # num_classes: 1945 # Bernardo | ||
| num_classes: 2040 # Bernardo | ||
| # num_classes: 531 # Bernardo | ||
| # num_classes: 53 # Bernardo | ||
| # num_classes: 10 # Bernardo |
79 changes: 79 additions & 0 deletions
79
...ce_marg1=0.5_scal1=32_wd=1e-5_opt=SGD_sched=CosAnn_reset-opt=True_lamb1=1.0_lamb2=1.0.yml
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,79 @@ | ||
| # Mica config | ||
|
|
||
| pretrained_model_path: '/home/bjgbiesseck/GitHub/BOVIFOCR_MICA_3Dreconstruction/data/pretrained/mica.tar' | ||
|
|
||
| dataset: | ||
| # root: '/home/bjgbiesseck/datasets/' | ||
| root: '/datasets1/bjgbiesseck/MICA' | ||
|
|
||
| # training_data: [ 'LYHM', 'D3DFACS', 'BU3DFE', 'FRGC', 'Stirling', 'FaceWarehouse', 'BP4D' ] # original | ||
| # training_data: [ 'FRGC' ] # BERNARDO | ||
| # training_data: [ 'Stirling' ] # BERNARDO | ||
| # training_data: [ 'FRGC', 'Stirling', 'LYHM', 'FLORENCE' ] # BERNARDO | ||
| # training_data: [ 'FRGC', 'LYHM', 'Stirling', 'FACEWAREHOUSE' ] # BERNARDO | ||
| training_data: [ 'FRGC', 'LYHM', 'Stirling', 'FACEWAREHOUSE', 'FLORENCE' ] # BERNARDO | ||
| # training_data: [ 'FLORENCE' ] # BERNARDO | ||
| # training_data: [ 'FRGC_10classes' ] # BERNARDO | ||
|
|
||
| # eval_data: [ 'FRGC' ] # original | ||
| # eval_data: [ 'FACEWAREHOUSE' ] # Bernardo | ||
| # eval_data: [ 'Stirling' ] # Bernardo | ||
| eval_data: [ 'FRGC', 'LYHM', 'Stirling', 'FACEWAREHOUSE', 'FLORENCE' ] # BERNARDO | ||
| # eval_data: [ 'FLORENCE' ] # BERNARDO | ||
| # eval_data: [ 'FRGC_10classes' ] # original | ||
|
|
||
| train_prop: 0.8 | ||
| eval_prop: 0.2 | ||
|
|
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| num_workers: 4 # original | ||
| # num_workers: 1 # BERNARDO | ||
|
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| # batch_size: 8 | ||
| batch_size: 10 | ||
|
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||
| # K: 2 # original | ||
| K: 1 # BERNARDO | ||
|
|
||
| # Bernardo | ||
| output_dir_annotation: '' | ||
|
|
||
| train: | ||
| lr: 1e-5 | ||
| arcface_lr: 1e-5 | ||
| face_recog_lr: 1e-5 | ||
| lambda1: 1.0 # reconstruction | ||
| lambda2: 1.0 # recognition | ||
| weight_decay: 1e-5 | ||
| use_mask: True | ||
| reset_optimizer: True | ||
| max_steps: 160000 | ||
| log_steps: 50 # original | ||
| # log_steps: 20 # Bernardo | ||
| val_steps: 300 # original | ||
| # val_steps: 100 # Bernardo | ||
| vis_steps: 1200 # original | ||
| # vis_steps: 100 # Bernardo | ||
| val_save_img: 1200 # original | ||
| # val_save_img: 100 # Bernardo | ||
| checkpoint_steps: 1000 | ||
| checkpoint_epochs_steps: 10000 | ||
| # loss: 'cross-entropy' # Bernardo | ||
| loss: 'arcface' # Bernardo | ||
| arcface_margin1: 0.5 # Bernardo | ||
| arcface_scale1: 32.0 # Bernardo | ||
|
|
||
| model: | ||
| use_pretrained: False # original | ||
| # use_pretrained: True # Bernardo | ||
| n_shape: 300 | ||
| # name: 'mica' # original | ||
| name: 'micamultitaskfacerecognition1' | ||
|
|
||
| # face_embed: '3dmm' # Bernardo | ||
| face_embed: 'arcface' # Bernardo | ||
|
|
||
| # num_classes: 1945 # Bernardo | ||
| num_classes: 2040 # Bernardo | ||
| # num_classes: 531 # Bernardo | ||
| # num_classes: 53 # Bernardo | ||
| # num_classes: 10 # Bernardo |
77 changes: 77 additions & 0 deletions
77
...-5_loss=cross-entropy_wd=1e-5_opt=SGD_sched=CosAnn_reset-opt=True_lamb1=0.0_lamb2=1.0.yml
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,77 @@ | ||
| # Mica config | ||
|
|
||
| pretrained_model_path: '/home/bjgbiesseck/GitHub/BOVIFOCR_MICA_3Dreconstruction/data/pretrained/mica.tar' | ||
|
|
||
| dataset: | ||
| # root: '/home/bjgbiesseck/datasets/' | ||
| root: '/datasets1/bjgbiesseck/MICA' | ||
|
|
||
| # training_data: [ 'LYHM', 'D3DFACS', 'BU3DFE', 'FRGC', 'Stirling', 'FaceWarehouse', 'BP4D' ] # original | ||
| # training_data: [ 'FRGC' ] # BERNARDO | ||
| # training_data: [ 'Stirling' ] # BERNARDO | ||
| # training_data: [ 'FRGC', 'Stirling', 'LYHM', 'FLORENCE' ] # BERNARDO | ||
| # training_data: [ 'FRGC', 'LYHM', 'Stirling', 'FACEWAREHOUSE' ] # BERNARDO | ||
| # training_data: [ 'FRGC', 'LYHM', 'Stirling', 'FACEWAREHOUSE', 'FLORENCE' ] # BERNARDO | ||
| # training_data: [ 'FLORENCE' ] # BERNARDO | ||
| training_data: [ 'FRGC_10classes' ] # BERNARDO | ||
|
|
||
| # eval_data: [ 'FRGC' ] # original | ||
| # eval_data: [ 'FACEWAREHOUSE' ] # Bernardo | ||
| # eval_data: [ 'Stirling' ] # Bernardo | ||
| # eval_data: [ 'FRGC', 'LYHM', 'Stirling', 'FACEWAREHOUSE', 'FLORENCE' ] # BERNARDO | ||
| # eval_data: [ 'FLORENCE' ] # BERNARDO | ||
| eval_data: [ 'FRGC_10classes' ] # original | ||
|
|
||
| train_prop: 0.8 | ||
| eval_prop: 0.2 | ||
|
|
||
| num_workers: 4 # original | ||
| # num_workers: 1 # BERNARDO | ||
|
|
||
| # batch_size: 8 | ||
| batch_size: 10 | ||
|
|
||
| # K: 2 # original | ||
| K: 1 # BERNARDO | ||
|
|
||
| # Bernardo | ||
| output_dir_annotation: '' | ||
|
|
||
| train: | ||
| lr: 1e-5 | ||
| arcface_lr: 1e-5 | ||
| face_recog_lr: 1e-5 | ||
| lambda1: 0.0 # reconstruction | ||
| lambda2: 1.0 # recognition | ||
| weight_decay: 1e-5 | ||
| use_mask: True | ||
| reset_optimizer: True | ||
| max_steps: 160000 | ||
| # log_steps: 50 # original | ||
| log_steps: 20 # Bernardo | ||
| # val_steps: 300 # original | ||
| val_steps: 100 # Bernardo | ||
| # vis_steps: 1200 # original | ||
| vis_steps: 100 # Bernardo | ||
| # val_save_img: 1200 # original | ||
| val_save_img: 100 # Bernardo | ||
| checkpoint_steps: 1000 | ||
| checkpoint_epochs_steps: 10000 | ||
| # loss: 'arcface' # Bernardo | ||
| loss: 'cross-entropy' # Bernardo | ||
|
|
||
| model: | ||
| use_pretrained: False # original | ||
| # use_pretrained: True # Bernardo | ||
| n_shape: 300 | ||
| # name: 'mica' # original | ||
| name: 'micamultitaskfacerecognition1' | ||
|
|
||
| # face_embed: '3dmm' # Bernardo | ||
| face_embed: 'arcface' # Bernardo | ||
|
|
||
| # num_classes: 1945 # Bernardo | ||
| # num_classes: 2041 # Bernardo | ||
| # num_classes: 531 # Bernardo | ||
| # num_classes: 53 # Bernardo | ||
| num_classes: 10 # Bernardo |
79 changes: 79 additions & 0 deletions
79
...ce_marg1=0.5_scal1=32_wd=1e-5_opt=SGD_sched=CosAnn_reset-opt=True_lamb1=0.0_lamb2=1.0.yml
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,79 @@ | ||
| # Mica config | ||
|
|
||
| pretrained_model_path: '/home/bjgbiesseck/GitHub/BOVIFOCR_MICA_3Dreconstruction/data/pretrained/mica.tar' | ||
|
|
||
| dataset: | ||
| # root: '/home/bjgbiesseck/datasets/' | ||
| root: '/datasets1/bjgbiesseck/MICA' | ||
|
|
||
| # training_data: [ 'LYHM', 'D3DFACS', 'BU3DFE', 'FRGC', 'Stirling', 'FaceWarehouse', 'BP4D' ] # original | ||
| # training_data: [ 'FRGC' ] # BERNARDO | ||
| # training_data: [ 'Stirling' ] # BERNARDO | ||
| # training_data: [ 'FRGC', 'Stirling', 'LYHM', 'FLORENCE' ] # BERNARDO | ||
| # training_data: [ 'FRGC', 'LYHM', 'Stirling', 'FACEWAREHOUSE' ] # BERNARDO | ||
| # training_data: [ 'FRGC', 'LYHM', 'Stirling', 'FACEWAREHOUSE', 'FLORENCE' ] # BERNARDO | ||
| # training_data: [ 'FLORENCE' ] # BERNARDO | ||
| training_data: [ 'FRGC_10classes' ] # BERNARDO | ||
|
|
||
| # eval_data: [ 'FRGC' ] # original | ||
| # eval_data: [ 'FACEWAREHOUSE' ] # Bernardo | ||
| # eval_data: [ 'Stirling' ] # Bernardo | ||
| # eval_data: [ 'FRGC', 'LYHM', 'Stirling', 'FACEWAREHOUSE', 'FLORENCE' ] # BERNARDO | ||
| # eval_data: [ 'FLORENCE' ] # BERNARDO | ||
| eval_data: [ 'FRGC_10classes' ] # original | ||
|
|
||
| train_prop: 0.8 | ||
| eval_prop: 0.2 | ||
|
|
||
| num_workers: 4 # original | ||
| # num_workers: 1 # BERNARDO | ||
|
|
||
| # batch_size: 8 | ||
| batch_size: 10 | ||
|
|
||
| # K: 2 # original | ||
| K: 1 # BERNARDO | ||
|
|
||
| # Bernardo | ||
| output_dir_annotation: '' | ||
|
|
||
| train: | ||
| lr: 1e-5 | ||
| arcface_lr: 1e-5 | ||
| face_recog_lr: 1e-7 | ||
| lambda1: 0.0 # reconstruction | ||
| lambda2: 1.0 # recognition | ||
| weight_decay: 1e-5 | ||
| use_mask: True | ||
| reset_optimizer: True | ||
| max_steps: 160000 | ||
| # log_steps: 50 # original | ||
| log_steps: 20 # Bernardo | ||
| # val_steps: 300 # original | ||
| val_steps: 100 # Bernardo | ||
| # vis_steps: 1200 # original | ||
| vis_steps: 100 # Bernardo | ||
| # val_save_img: 1200 # original | ||
| val_save_img: 100 # Bernardo | ||
| checkpoint_steps: 1000 | ||
| checkpoint_epochs_steps: 10000 | ||
| # loss: 'cross-entropy' # Bernardo | ||
| loss: 'arcface' # Bernardo | ||
| arcface_margin1: 0.5 # Bernardo | ||
| arcface_scale1: 32.0 # Bernardo | ||
|
|
||
| model: | ||
| use_pretrained: False # original | ||
| # use_pretrained: True # Bernardo | ||
| n_shape: 300 | ||
| # name: 'mica' # original | ||
| name: 'micamultitaskfacerecognition1' | ||
|
|
||
| # face_embed: '3dmm' # Bernardo | ||
| face_embed: 'arcface' # Bernardo | ||
|
|
||
| # num_classes: 1945 # Bernardo | ||
| # num_classes: 2041 # Bernardo | ||
| # num_classes: 531 # Bernardo | ||
| # num_classes: 53 # Bernardo | ||
| num_classes: 10 # Bernardo |
79 changes: 79 additions & 0 deletions
79
...ce_marg1=0.5_scal1=32_wd=1e-5_opt=SGD_sched=CosAnn_reset-opt=True_lamb1=0.0_lamb2=1.0.yml
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,79 @@ | ||
| # Mica config | ||
|
|
||
| pretrained_model_path: '/home/bjgbiesseck/GitHub/BOVIFOCR_MICA_3Dreconstruction/data/pretrained/mica.tar' | ||
|
|
||
| dataset: | ||
| # root: '/home/bjgbiesseck/datasets/' | ||
| root: '/datasets1/bjgbiesseck/MICA' | ||
|
|
||
| # training_data: [ 'LYHM', 'D3DFACS', 'BU3DFE', 'FRGC', 'Stirling', 'FaceWarehouse', 'BP4D' ] # original | ||
| training_data: [ 'FRGC' ] # BERNARDO | ||
| # training_data: [ 'Stirling' ] # BERNARDO | ||
| # training_data: [ 'FRGC', 'Stirling', 'LYHM', 'FLORENCE' ] # BERNARDO | ||
| # training_data: [ 'FRGC', 'LYHM', 'Stirling', 'FACEWAREHOUSE' ] # BERNARDO | ||
| # training_data: [ 'FRGC', 'LYHM', 'Stirling', 'FACEWAREHOUSE', 'FLORENCE' ] # BERNARDO | ||
| # training_data: [ 'FLORENCE' ] # BERNARDO | ||
| # training_data: [ 'FRGC_10classes' ] # BERNARDO | ||
|
|
||
| eval_data: [ 'FRGC' ] # original | ||
| # eval_data: [ 'FACEWAREHOUSE' ] # Bernardo | ||
| # eval_data: [ 'Stirling' ] # Bernardo | ||
| # eval_data: [ 'FRGC', 'LYHM', 'Stirling', 'FACEWAREHOUSE', 'FLORENCE' ] # BERNARDO | ||
| # eval_data: [ 'FLORENCE' ] # BERNARDO | ||
| # eval_data: [ 'FRGC_10classes' ] # original | ||
|
|
||
| train_prop: 0.8 | ||
| eval_prop: 0.2 | ||
|
|
||
| num_workers: 4 # original | ||
| # num_workers: 1 # BERNARDO | ||
|
|
||
| # batch_size: 8 | ||
| batch_size: 10 | ||
|
|
||
| # K: 2 # original | ||
| K: 1 # BERNARDO | ||
|
|
||
| # Bernardo | ||
| output_dir_annotation: '' | ||
|
|
||
| train: | ||
| lr: 1e-5 | ||
| arcface_lr: 1e-5 | ||
| face_recog_lr: 1e-5 | ||
| lambda1: 0.0 # reconstruction | ||
| lambda2: 1.0 # recognition | ||
| weight_decay: 1e-5 | ||
| use_mask: True | ||
| reset_optimizer: True | ||
| max_steps: 160000 | ||
| log_steps: 50 # original | ||
| # log_steps: 20 # Bernardo | ||
| val_steps: 300 # original | ||
| # val_steps: 100 # Bernardo | ||
| vis_steps: 1200 # original | ||
| # vis_steps: 100 # Bernardo | ||
| val_save_img: 1200 # original | ||
| # val_save_img: 100 # Bernardo | ||
| checkpoint_steps: 1000 | ||
| checkpoint_epochs_steps: 10000 | ||
| # loss: 'cross-entropy' # Bernardo | ||
| loss: 'arcface' # Bernardo | ||
| arcface_margin1: 0.5 # Bernardo | ||
| arcface_scale1: 32.0 # Bernardo | ||
|
|
||
| model: | ||
| use_pretrained: False # original | ||
| # use_pretrained: True # Bernardo | ||
| n_shape: 300 | ||
| # name: 'mica' # original | ||
| name: 'micamultitaskfacerecognition1' | ||
|
|
||
| # face_embed: '3dmm' # Bernardo | ||
| face_embed: 'arcface' # Bernardo | ||
|
|
||
| # num_classes: 1945 # Bernardo | ||
| # num_classes: 2041 # Bernardo | ||
| num_classes: 531 # Bernardo | ||
| # num_classes: 53 # Bernardo | ||
| # num_classes: 10 # Bernardo |
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