|
|
| dataset="realestate10k_rotate" |
| algorithm="dfot_geometry_forcing" |
|
|
| exp_name="eval_360_rotation" |
| result_dir="$output_dir/train/$exp_name" |
| checkpoint_path="checkpoints/geometry_forcing_state_dict.ckpt" |
| eval_result_dir="$output_dir/geometry_forcing_rotation" |
|
|
| echo "Result directory: $result_dir" |
| echo "Checkpoint path: $checkpoint_path" |
| |
| checkpoints_dir=${result_dir}/checkpoints |
|
|
| python -m main +name=rotation dataset=$dataset \ |
| algorithm=$algorithm \ |
| experiment=video_generation @diffusion/continuous \ |
| algorithm.alignment.apply_unnormalize_recon=True \ |
| algorithm.alignment.latents_info=2 \ |
| load=$checkpoint_path \ |
| dataset.num_eval_videos=1000 \ |
| 'experiment.tasks=[validation]' experiment.validation.data.shuffle=False experiment.test.data.shuffle=False dataset.frame_skip=1 \ |
| dataset.n_frames=16 \ |
| algorithm.logging.max_num_videos=1000 \ |
| dataset.context_length=1 \ |
| algorithm.tasks.prediction.history_guidance.name=stabilized_vanilla \ |
| +algorithm.tasks.prediction.history_guidance.guidance_scale=4.0 \ |
| +algorithm.tasks.prediction.history_guidance.stabilization_level=0.02 \ |
| experiment.validation.batch_size=1 \ |
| algorithm.tasks.interpolation.history_guidance.name=vanilla \ |
| +algorithm.tasks.interpolation.history_guidance.guidance_scale=1.5 \ |
| 'algorithm.logging.metrics=[fvd,fid,psnr,lpips,ssim]' |
| hydra.run.dir=$eval_result_dir |
