| --- |
| pretty_name: IRForge artifacts |
| license: other |
| tags: |
| - infrared |
| - image-to-image |
| - rgb-to-infrared |
| - infrared-small-target-detection |
| - lora |
| - flux |
| --- |
| |
| # IRForge artifacts |
|
|
| Data, checkpoints, predictions, and detection artifacts of IRForge, which adapts image-conditioned foundation flow |
| models (FLUX.2-klein-base-4B, Qwen-Image-2.1) to RGB-to-infrared translation and uses them as data engines for infrared |
| small target detection. The code and the reproduction guide (`docs/reproduce.md`) are in the IRForge repository. |
|
|
| The layout mirrors the code's `IRFORGE_WORK` directory. `MANIFEST.json` lists every file with its size; each `*.tar` |
| unpacks into the directory given by its `unpack_to` entry. `experiments/tools/fetch_release.py PART ...` downloads |
| parts and unpacks them (`raw`, `paper`, `checkpoints`, `predictions`, `detection`, `backgrounds`). |
|
|
| | Path | Content | |
| |---|---| |
| | `data/raw/20260922pbw/*.tar` | paired RGB-infrared images with `train.txt` / `test.txt`: FLIR-aligned (LWIR) and VEDAI (NIR), full sets and the 1,000-pair Selected subsets | |
| | `runs/RUN/saves/RUN/checkpoints/checkpoint-N/` | PEFT LoRA adapters (Flow-Factory checkpoints): Stage 1 translators, reward-tuned continuations (`checkpoint-0` is the starting point), DMD2 / TDM students | |
| | `eval/RUN/SETTING/SPLIT/` | `metrics.json`, `sampling.json` (and `merge.json` for interpolated translators), `predictions.tar` with the translated test images | |
| | `irstd/datasets.tar` | synthesized SIRST detection datasets in the BasicIRSTD layout, including the SIRST320 split | |
| | `irstd/runs/DATASET/MODEL_seedS/` | detector scores (`test_scores.json`, `val_scores.json`) of every detection run | |
| | `irstd/backgrounds/*.tar` | translated Places365 background pools, 4,200 scenes each | |
| | `irstd/*.json`, `irstd/*.npz`, `runs/*/train.log` | background analysis, DINOv2 domain probes, and RL training logs read by the paper tables | |
| | `release/inputs_make_*.txt` | every file the paper's table and figure scripts read | |
|
|
| ## Licenses and attribution |
|
|
| - Adapters of FLUX.2-klein-base-4B: the base model is Apache-2.0. |
| - Adapters and students of Qwen-Image-2.1 derive from a model under the Qwen Research License (non-commercial |
| research and evaluation only); the same terms apply to them. |
| - FLIR-aligned derives from the Teledyne FLIR ADAS dataset (aligned by Zhang et al., ICIP 2020), VEDAI from |
| Razakarivony and Jurie (2016), SIRST from NUAA-SIRST (Dai et al., 2021), and the background scenes from the |
| Places365 validation set (Zhou et al., 2018). These images, and the translations and detection data derived from |
| them, remain subject to the original datasets' terms; use them for non-commercial research. |
|
|
