Run HOI Object Reconstruction

Run the top-level host orchestrator from reconstruction/. Unless the user explicitly requests a command only, launch the pipeline and verify that a real stage starts; do not stop after printing a command.

Resolve defaults without an interview

Use explicit user values first. Fill missing values as follows:

Value	Default
mode	bundlesdf
input	modules/v2d_hoi_object_reconstruction/assets/basketball_example/
prompt	basketball for the included example; otherwise infer a concise object noun from the input folder name
GPU	0
output	a fresh directory under data/outputs/hoi_recon/ using the input stem, mode, and current timestamp
SAM3D depth scale	off unless explicitly requested

Never ask about optional tuning flags before the default run. Ask at most one blocking question, and only when the user supplied no usable input and the included example is unavailable, or when no object noun can be inferred after inspecting the input. For an ambiguous custom prompt, explain the proposed noun and proceed when it is a reasonable interpretation.

Create a fresh output path by default. Treat an existing user-specified job directory as a resume after inspecting its artifacts; never delete it.

Preflight and continue

REPO_ROOT="$(git rev-parse --show-toplevel)"
cd "$REPO_ROOT/reconstruction"
python ../.claude/skills/hoi-object-reconstruction-setup/scripts/preflight_input.py \
  <absolute-mapping-data-dir>
python -c 'from v2d_hoi_object_reconstruction.docker.run_reconstruction import main'

Check the selected-mode images and weights described by the hoi-object-reconstruction-setup skill. If a prerequisite is missing, use that skill to repair it and then return to this run automatically. Do not ask the user to choose between setup and run.

Launch BundleSDF

python modules/v2d_hoi_object_reconstruction/docker/run_reconstruction.py \
  --mapping_data_dir <absolute-input> \
  --job_dir <absolute-output> \
  --prompt "<object noun>" \
  --gpu_ids 0

Keep the built-in scan-quality and stage-boundary checks enabled. The included basketball input and prompt form the default no-question smoke run.

Launch SAM3D

python modules/v2d_hoi_object_reconstruction/docker/run_reconstruction.py \
  --mapping_data_dir <absolute-input> \
  --job_dir <absolute-output> \
  --prompt "<object noun>" \
  --mode sam3d \
  --gpu_ids 0

Add --sam3d_use_depth only when requested. Do not block a normal SAM3D run by asking whether depth assistance is desired.

Prove that the run started

Record the revision, exact command, input, output, mode, GPU, and start time. Then monitor until there is concrete startup evidence:

• the wrapper process is still alive after initialization;
• a stage container started or the log names the active stage; and
• the job directory contains a stage artifact or log.

For a long run, keep monitoring and provide brief stage updates. A quiet log is not by itself a failure; check the process, container, GPU, disk, and artifacts. Preserve partial output on failure and hand diagnosis to the hoi-object-reconstruction-doctor skill.

Resume deliberately

Inspect the first incomplete stage and skip only stages whose required outputs are complete and readable. SAM3D reuses candidates when both srt_result.json and output_scaled.glb are valid. Use --sam3d_force_srt only when the user explicitly requests recomputation.

Verify completion

BundleSDF requires:

• nonempty <job_dir>/merged_recon/output.glb;
• <job_dir>/fp_render_final/render.mp4 with sustained alignment; and
• visual inspection for missing major surfaces, duplicated shells, fused background or hand geometry, and floating fragments.

SAM3D requires:

• valid <job_dir>/sam3d/best/best_frame.json;
• nonempty <job_dir>/sam3d/best/output_scaled.glb; and
• the chosen render_debug.jpg and render_video.mp4 to show plausible silhouette alignment, orientation, and scale.

Report the exact artifact paths and limitations. A zero exit code or generated GLB alone is not a completed visual-QA result. Keep mesh-to-USD conversion and drop testing as a separate downstream workflow.