dataset_params: root_dir: /zlh/VoxCeleb/first-order-256 frame_shape: [256, 256, 3] id_sampling: True pairs_list: None augmentation_params: flip_param: horizontal_flip: True time_flip: True jitter_param: brightness: 0.1 contrast: 0.1 saturation: 0.1 hue: 0.1 model_params: common_params: num_kp: 15 image_channel: 3 feature_channel: 32 estimate_jacobian: False # True kp_detector_params: temperature: 0.1 block_expansion: 32 max_features: 1024 scale_factor: 0.25 # 0.25 num_blocks: 5 reshape_channel: 16384 # 16384 = 1024 * 16 reshape_depth: 16 he_estimator_params: block_expansion: 64 max_features: 2048 num_bins: 66 generator_params: block_expansion: 64 max_features: 512 num_down_blocks: 2 reshape_channel: 32 reshape_depth: 16 # 512 = 32 * 16 num_resblocks: 6 estimate_occlusion_map: True dense_motion_params: block_expansion: 32 max_features: 1024 num_blocks: 5 # reshape_channel: 32 reshape_depth: 16 compress: 4 discriminator_params: scales: [1] block_expansion: 32 max_features: 512 num_blocks: 4 sn: True train_params: num_epochs: 300 num_repeats: 75 epoch_milestones: [180,] lr_generator: 2.0e-4 lr_discriminator: 2.0e-4 lr_kp_detector: 2.0e-4 lr_he_estimator: 2.0e-4 gan_mode: 'hinge' # hinge or ls batch_size: 32 scales: [1, 0.5, 0.25, 0.125] checkpoint_freq: 10 hopenet_snapshot: "/mnt/bn/sa-ag-data/yezhenhui/myenv/cache/useful_ckpts/hopenet_robust_alpha1.pkl" # https://drive.google.com/open?id=1m25PrSE7g9D2q2XJVMR6IA7RaCvWSzCR transform_params: sigma_affine: 0.05 sigma_tps: 0.005 points_tps: 5 loss_weights: generator_gan: 1 discriminator_gan: 1 feature_matching: [10, 10, 10, 10] perceptual: [10, 10, 10, 10, 10] equivariance_value: 10 equivariance_jacobian: 0 # 10 keypoint: 10 headpose: 20 expression: 5 visualizer_params: kp_size: 5 draw_border: True colormap: 'gist_rainbow'