| echo "Running evaluation for DFoT on RealEstate10K dataset" |
|
|
| eval_result_dir="$output_dir/geometry_forcing_long" |
| checkpoint_path="checkpoints/geometry_forcing_state_dict.ckpt" |
|
|
| algorithm="dfot_geometry_forcing" |
|
|
| echo "Result directory: $result_dir" |
| echo "Checkpoint path: $checkpoint_path" |
|
|
| python -m main +name=single_image_to_long dataset=realestate10k \ |
| algorithm=$algorithm experiment=video_generation \ |
| @diffusion/continuous \ |
| load=$checkpoint_path \ |
| 'experiment.tasks=[validation]' experiment.validation.data.shuffle=False experiment.test.data.shuffle=False \ |
| dataset.context_length=1 dataset.frame_skip=1 dataset.n_frames=256 \ |
| algorithm.tasks.prediction.keyframe_density=0.0625 \ |
| algorithm.tasks.interpolation.max_batch_size=4 experiment.validation.batch_size=1 \ |
| algorithm.tasks.prediction.history_guidance.name=stabilized_vanilla \ |
| +algorithm.tasks.prediction.history_guidance.guidance_scale=4.0 \ |
| +algorithm.tasks.prediction.history_guidance.stabilization_level=0.02 \ |
| algorithm.tasks.interpolation.history_guidance.name=vanilla \ |
| +algorithm.tasks.interpolation.history_guidance.guidance_scale=1.5 \ |
| 'algorithm.logging.metrics=[fvd,fid,psnr,lpips,ssim]' \ |
| hydra.run.dir=$result_dir |
|
|
