epochs: 150 output_dir: output_dir model: name: FirstOrderModel common_params: num_kp: 10 num_channels: 3 estimate_jacobian: True generator: name: FirstOrderGenerator kp_detector_cfg: temperature: 0.1 block_expansion: 32 max_features: 1024 scale_factor: 0.25 num_blocks: 5 generator_cfg: block_expansion: 64 max_features: 512 num_down_blocks: 2 num_bottleneck_blocks: 6 estimate_occlusion_map: True dense_motion_params: block_expansion: 64 max_features: 1024 num_blocks: 5 scale_factor: 0.25 discriminator: name: FirstOrderDiscriminator discriminator_cfg: scales: [1] block_expansion: 32 max_features: 512 num_blocks: 4 sn: True train_params: scales: [1, 0.5, 0.25, 0.125] 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: 10 optimizer: name: Adam lr_scheduler: epoch_milestones: [187500, 281250] lr_generator: 2.0e-4 lr_discriminator: 2.0e-4 lr_kp_detector: 2.0e-4 dataset: train: name: FirstOrderDataset phase: train dataroot: data/first_order/fashion/ num_repeats: 50 time_flip: True batch_size: 8 id_sampling: False frame_shape: [ 256, 256, 3 ] process_time: False create_frames_folder: False num_workers: 4 max_dataset_size: inf direction: BtoA input_nc: 3 output_nc: 3 transforms: - name: PairedRandomHorizontalFlip prob: 0.5 keys: [image, image] - name: PairedColorJitter brightness: 0.1 contrast: 0.1 saturation: 0.1 hue: 0.1 keys: [image, image] test: name: FirstOrderDataset dataroot: data/first_order/fashion/ phase: test batch_size: 1 num_workers: 1 time_flip: False id_sampling: False create_frames_folder: False frame_shape: [ 256, 256, 3 ] log_config: interval: 10 visiual_interval: 10 snapshot_config: interval: 10 validate: interval: 31250