| """Stage a source repository without credentials, upstream data, or vendored TeX.""" |
| from pathlib import Path |
| import hashlib,json,shutil,zipfile |
| ROOT=Path(__file__).resolve().parents[1] |
| DEST=ROOT.parent/'publish/RefSeg-CA' |
| README='''# RefSeg-CA — R3 research release |
| |
| Evaluating and repairing command compliance in generalized referring segmentation. |
| |
| The release contains the SFAP parser/projection, benchmark generator, inference/evaluation scripts, exact-score replay, Slurm examples, editable TikZ/PGFPlots sources, and a current manuscript. Human validation has **not been conducted**. No acceptance or publication claim is made. |
| |
| ## Data and exact metric replay |
| |
| Data repository: https://huggingface.co/datasets/Ethosoft/RefSeg-CA |
| |
| From this directory, with Python 3.9 or newer: |
| |
| ```bash |
| python code/download_release_data.py |
| python code/verify_portable_results.py |
| ``` |
| |
| The lightweight download reconstructs 30 primary table rows and 22 reviewer-requested threshold configurations. It requires no TRUBA connection or model weights. These are derived scores; reproducing inference pixels requires upstream models and inputs. |
| |
| To obtain all 1,200 procedural scenes, both rendering styles, visible-instance maps, and command masks: |
| |
| ```bash |
| python code/download_release_data.py --synthetic |
| ``` |
| |
| The default data revision is the immutable release tag `r3-data-v1`. Natural images and original gRefCOCO expression text must be obtained from the pinned upstream release; model checkpoint hashes and preparation scripts are under protocol/ and legacy_project/code/. |
| |
| ## Manuscript and figures |
| |
| The current PDF is distributed alongside this source archive in the data repository under `release/RefSeg_CA_MVA.pdf`. Install the official Springer Nature LaTeX template and normal TeX Live packages, placing sn-jnl.cls and sn-mathphys-num.bst alongside the manuscript as instructed by Springer. The repository does not redistribute these third-party generated files. |
| |
| ```bash |
| python code/figures_r3.py |
| python code/build_latex.py |
| ``` |
| |
| The synthetic download is required before regenerating image panels. All written figures are monochrome vector graphics; the experimental raster inputs retain their colors. |
| |
| ## Human evaluation |
| |
| Read review/HUMAN_VALIDATION_PROTOCOL.md and review/INSAN_DEGERLENDIRMESI_UYGULAMA_KILAVUZU.md. Two independent readers, pre-adjudication agreement, adjudicated semantic labels, and a separate image-aware harm audit are still needed. Automated checks are not human labels. |
| |
| ## Provenance and reuse |
| |
| See REPRODUCIBILITY.md, THIRD_PARTY.md, CITATION.cff, and SHA256SUMS. This public deposit establishes accessibility. Authors have not yet selected an additional blanket reuse license for original material; existing per-file third-party terms continue to apply. |
| |
| Browse all source files at https://huggingface.co/datasets/Ethosoft/RefSeg-CA/tree/main/source. This organization-owned Hugging Face source tree is the code host for this release. |
| ''' |
|
|
|
|
| def main(): |
| DEST.mkdir(parents=True,exist_ok=True) |
| patterns=['code/*.py','legacy_project/code/*.py','legacy_project/protocol/*.json', |
| 'legacy_project/results/analysis/*.json','protocol/*.json','protocol/*.md', |
| 'results/analysis/*.json','results/r3/review_results.json','results/r3/jobs/*.json', |
| 'figures/*.tex','figures/*.json','latex/*.tex','latex/*.bib','slurm/*.sbatch'] |
| selected=set() |
| for pattern in patterns:selected.update(ROOT.glob(pattern)) |
| for p in selected: |
| out=DEST/p.relative_to(ROOT);out.parent.mkdir(parents=True,exist_ok=True);shutil.copy2(p,out) |
| for rel in ['CITATION.cff','REPRODUCIBILITY.md','requirements-analysis.txt', |
| 'review/HUMAN_VALIDATION_PROTOCOL.md','review/INSAN_DEGERLENDIRMESI_UYGULAMA_KILAVUZU.md', |
| 'review/Response_to_Major_Revision.md']: |
| out=DEST/rel;out.parent.mkdir(parents=True,exist_ok=True);shutil.copy2(ROOT/rel,out) |
| (DEST/'README.md').write_text(README) |
| (DEST/'THIRD_PARTY.md').write_text('''# Third-party materials |
| |
| Original natural images and gRefCOCO expression files are not included. Obtain them from https://huggingface.co/datasets/FudanCVL/gRefCOCO at revision 81eede59b3ac070049f597d023c0ff08d1fb80e9 and the image sources referenced by its authors. They retain their original terms. |
| |
| Model weights and ReLA source are downloaded from their authors using the revisions and hashes in protocol/. No model weights are redistributed here. |
| |
| The Springer Nature LaTeX class/bibliography style and standard algorithm packages must be installed from their official distributions. These generated third-party files are omitted from this public source archive. The user-facing manuscript source remains included. |
| |
| This repository adds no blanket license to material owned by others. The project authors have not yet assigned a blanket reuse license to their original code or procedural dataset. |
| ''') |
| (DEST/'.gitignore').write_text('build/\ncache/\nassets/\nvendor/\n__pycache__/\n*.pyc\n.env*\n*.token\ndata/rich/\ndata/natural/\nresults/r3/portable/\n*.aux\n*.log\n*.out\n*.blg\n') |
| files=sorted(p for p in DEST.rglob('*') if p.is_file() and '.git' not in p.parts and p.name!='SHA256SUMS') |
| (DEST/'SHA256SUMS').write_text(''.join(hashlib.sha256(p.read_bytes()).hexdigest()+' '+p.relative_to(DEST).as_posix()+'\n' for p in files)) |
| archive=ROOT.parent/'RefSeg_CA_R3_Public_Source.zip' |
| with zipfile.ZipFile(archive,'w',zipfile.ZIP_DEFLATED,compresslevel=6) as z: |
| for p in files+[DEST/'SHA256SUMS']:z.write(p,'RefSeg-CA/'+p.relative_to(DEST).as_posix()) |
| print(json.dumps({'source_root':str(DEST),'archive':str(archive),'files':len(files)+1,'bytes':archive.stat().st_size,'sha256':hashlib.sha256(archive.read_bytes()).hexdigest()})) |
| if __name__=='__main__':main() |
|
|
