Upload 2 files
Browse files- 00000189-checkpoint.pth.tar +3 -0
- vox-256-spade.yaml +88 -0
00000189-checkpoint.pth.tar
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version https://git-lfs.github.com/spec/v1
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oid sha256:fbad01d46f0510276dc4521322dde6824a873a4222cd0740c85762e7067ea71d
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size 2112619148
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vox-256-spade.yaml
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dataset_params:
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root_dir:
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frame_shape: [256, 256, 3]
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id_sampling: True
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pairs_list: None
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augmentation_params:
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flip_param:
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horizontal_flip: True
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time_flip: True
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jitter_param:
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brightness: 0.1
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contrast: 0.1
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saturation: 0.1
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hue: 0.1
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model_params:
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common_params:
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num_kp: 15
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image_channel: 3
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feature_channel: 32
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estimate_jacobian: False
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kp_detector_params:
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temperature: 0.1
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block_expansion: 32
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max_features: 1024
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scale_factor: 0.25
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num_blocks: 5
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reshape_channel: 16384 # 16384 = 1024 * 16
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reshape_depth: 16
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he_estimator_params:
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block_expansion: 64
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max_features: 2048
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num_bins: 66
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generator_params:
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block_expansion: 64
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max_features: 512
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num_down_blocks: 2
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reshape_channel: 32
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reshape_depth: 16 # 512 = 32 * 16
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num_resblocks: 6
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estimate_occlusion_map: True
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dense_motion_params:
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block_expansion: 32
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max_features: 1024
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num_blocks: 5
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# reshape_channel: 32
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reshape_depth: 16
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compress: 4
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discriminator_params:
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scales: [1]
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block_expansion: 32
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max_features: 512
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num_blocks: 4
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sn: True
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train_params:
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num_epochs: 200
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num_repeats: 75
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epoch_milestones: [180,]
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lr_generator: 2.0e-4
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lr_discriminator: 2.0e-4
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lr_kp_detector: 2.0e-4
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lr_he_estimator: 2.0e-4
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gan_mode: 'hinge' # hinge or ls
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batch_size: 1
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scales: [1, 0.5, 0.25, 0.125]
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checkpoint_freq: 60
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hopenet_snapshot: './checkpoints/hopenet_robust_alpha1.pkl'
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transform_params:
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sigma_affine: 0.05
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sigma_tps: 0.005
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points_tps: 5
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loss_weights:
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generator_gan: 1
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discriminator_gan: 1
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feature_matching: [10, 10, 10, 10]
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perceptual: [10, 10, 10, 10, 10]
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equivariance_value: 10
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equivariance_jacobian: 0
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keypoint: 10
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headpose: 20
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expression: 5
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visualizer_params:
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kp_size: 5
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draw_border: True
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colormap: 'gist_rainbow'
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