| 8 | |
| 9 | |
| 10 | def run_dense(input_path: Path, output_path: Path) -> None: |
| 11 | if (input_path / "sparse/1").exists(): |
| 12 | raise FileExistsError( |
| 13 | "Make sure only a single sparse model exists! If there's more than one " |
| 14 | "model, sparse reconstruction failed." |
| 15 | ) |
| 16 | |
| 17 | # Copy the input path to the output path. |
| 18 | shutil.copytree(input_path, output_path) |
| 19 | |
| 20 | start_time = time() |
| 21 | |
| 22 | # Run the dense reconstruction commands. |
| 23 | command = ( |
| 24 | "colmap image_undistorter", |
| 25 | f"--image_path {output_path}/images", |
| 26 | f"--input_path {output_path}/sparse/0", |
| 27 | f"--output_path {output_path}/dense", |
| 28 | "--output_type COLMAP", |
| 29 | ) |
| 30 | if subprocess.run(" ".join(command).split(" ")).returncode != 0: |
| 31 | raise Exception("COLMAP dense reconstruction failed.") |
| 32 | |
| 33 | command = ( |
| 34 | "colmap patch_match_stereo", |
| 35 | f"--workspace_path {output_path}/dense", |
| 36 | "--workspace_format COLMAP", |
| 37 | "--PatchMatchStereo.geom_consistency true", |
| 38 | ) |
| 39 | if subprocess.run(" ".join(command).split(" ")).returncode != 0: |
| 40 | raise Exception("COLMAP dense reconstruction failed.") |
| 41 | |
| 42 | command = ( |
| 43 | "colmap stereo_fusion", |
| 44 | f"--workspace_path {output_path}/dense", |
| 45 | "--workspace_format COLMAP", |
| 46 | "--input_type geometric", |
| 47 | f"--output_path {output_path}/dense/fused.ply", |
| 48 | ) |
| 49 | if subprocess.run(" ".join(command).split(" ")).returncode != 0: |
| 50 | raise Exception("COLMAP dense reconstruction failed.") |
| 51 | |
| 52 | # Copy the dense point cloud to the right location for 3D Gaussian Splatting. |
| 53 | shutil.copy(output_path / "dense/fused.ply", output_path / "sparse/0/points3D.ply") |
| 54 | |
| 55 | elapsed = time() - start_time |
| 56 | with (output_path / "runtime.json").open("w") as f: |
| 57 | json.dump({"runtime": elapsed}, f) |
| 58 | |
| 59 | |
| 60 | @click.command() |