请问为什么我在训练自己的表情迁移模型时，只有log文件，没有视频，用的是fashion数据集
训练十几秒就完成了，这是日志文件
[12/31 14:26:19] ppgan INFO: Configs: {'epochs': 150, 'output_dir': 'output_dir\firstorder_fashion-2024-12-31-14-26', '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': 0.0002, 'lr_discriminator': 0.0002, 'lr_kp_detector': 0.0002}, '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': 0, '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': 0, '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}, 'is_train': True, 'profiler_options': None, 'timestamp': '-2024-12-31-14-26'}
[12/31 14:26:21] ppgan INFO: Found C:\Users\X.cache\ppgan\vgg19.pdparams
请问为什么我在训练自己的表情迁移模型时，只有log文件，没有视频，用的是fashion数据集
训练十几秒就完成了，这是日志文件
[12/31 14:26:19] ppgan INFO: Configs: {'epochs': 150, 'output_dir': 'output_dir\firstorder_fashion-2024-12-31-14-26', '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': 0.0002, 'lr_discriminator': 0.0002, 'lr_kp_detector': 0.0002}, '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': 0, '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': 0, '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}, 'is_train': True, 'profiler_options': None, 'timestamp': '-2024-12-31-14-26'}
[12/31 14:26:21] ppgan INFO: Found C:\Users\X.cache\ppgan\vgg19.pdparams