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synth_captioning

Captioning pipeline for the synthetic PinPan datasets (enrue1893/PinPan_Train_Syn), extracted from JointGen-backup. Perspective-crop rendering happens upstream (external simulator); this bundle only covers the captioning stage: pulling pre-rendered panorama + 5 perspective clips per sample and generating structured JSON captions with a locally-served Qwen VLM (Qwen/Qwen3.6-27B).

Files

data/dataset_streaming_template/
    stream_process_pinpan_train_syn_captions_only.py   # entry point — run this
    stream_process.py                                  # generic streaming template (reference)
    README.md                                           # streaming pattern docs
data/_5traj_4view_analysis/
    pano_conditioning.py                                # provides equi2pers() (ERP -> pinhole)
qwen36_test/
    caption_qwen36_8k_5traj.py                          # caption_9view_qwen() engine
    caption_qwen36_pano_perspective_pair.py             # low-level ERP/pinhole + Qwen helpers
    vllm_serve_wrapper.py                               # `vllm serve` wrapper (GEMM kernel workaround)
    README.md                                           # vLLM server launch instructions
requirements/
    qwen36_env.txt                                      # pinned Python deps

Import chain: stream_process_pinpan_train_syn_captions_only.py -> caption_qwen36_8k_5traj.py (q5) -> caption_qwen36_pano_perspective_pair.py -> pano_conditioning.py (equi2pers).

Setup

  1. python -m venv venv && source venv/bin/activate && pip install -r requirements/qwen36_env.txt
  2. Serve the captioning model: see qwen36_test/README.md (python qwen36_test/vllm_serve_wrapper.py serve Qwen/Qwen3.6-27B --host 0.0.0.0 --port 8000 ...).
  3. Fix the hardcoded conditioning path. caption_qwen36_pano_perspective_pair.py defines:
    DEFAULT_PANO_CONDITIONING_PATH = (
        "/home/work/.local/khs/Projects/PanoWorld/cosmos_predict2/_src/predict2/utils/pano_conditioning.py"
    )
    
    That absolute path won't exist on a new machine. Point it at the copy included in this bundle (data/_5traj_4view_analysis/pano_conditioning.py), e.g. edit the constant or symlink it into place before running.
  4. Put an HF write token at data/dataset_streaming_template/.hftoken (gitignored, not included here) — used to upload results to OUTPUT_REPO. Override the input/output repos, QWEN36_TEST_DIR, VLLM_BASE_URLS, VLLM_MODEL, etc. via env vars (see the top of stream_process_pinpan_train_syn_captions_only.py).
  5. Run:
    cd data/dataset_streaming_template
    python stream_process_pinpan_train_syn_captions_only.py
    

Source: JointGen-backup (khs2001d), data/dataset_streaming_template/ and qwen36_test/.