Home › Code › parse_cfg

parse_cfg

Syntologyentry name in harvested coderead from the graph 2026-09-24

parse_cfg appears in the code Syntology harvested for 19 papers, as 14 distinct code bodies found in 20 places (a place is one code body under one paper). At least one of them ran in 2 of the papers; 0 of the code bodies carry a behaviour fingerprint.

What this page is not. Routines are grouped here by the exact string of their function or class name. Nothing asserts that two samples named parse_cfg do the same thing, share code, or are comparable; the name is a string, not an identity. Behaviour outputs (what a fingerprinted sample returned on the shared battery) are not in this export and are not shown here; the graph at syntology.ai holds them. "Ran" means executed on a synthesized fixture, not that the code is correct or reproduces a paper.

Samples Syntology

Syntology ran 2 of the 14 distinct code bodies named parse_cfg; 12 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
1ran · our draft was wrong
0ran · fixture could not drive it
1ran
12unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 3 of the 20 places are pointer only (Syntology does not serve that copy's text). This site shows no code text for any sample; every row below links to the file in its repository where the record names one.

“Ran” means the sample executed on a synthesized input; it does not mean the output is correct. “Honoured” and “violated” refer to a contract Syntology drafted from the code itself; “our draft was wrong” and “fixture could not drive it” are failures of Syntology's instrument, not of the code, and those samples did run. The ran count above is every status except unverified, the same rule as each paper page.

Papers

19 papers shown of 19, newest first; 20 places in the table. A paper with no recorded date is placed by the month its arXiv id encodes, shown in the Date column as YYYY-MM (from id). One row per place: a paper whose repository defines the name more than once appears more than once, and the same code body held for several papers appears once under each, with the same status. Titles and dates are the archive's archive 2025-07-28 for papers in the archive; 4 papers have no page here and are shown by arXiv id only. Status and fingerprint are Syntology's record of each code body; licence is recorded for each place. The File cell ends with the code body's code_sha256, Syntology's identity for that exact code: an agent fetches the stored sample with Syntology's MCP tool get_code(code_sha256="…") (how to connect); click an identity to copy that call.

PaperDateFileStatus SyntologyLicence
Zero-Shot Offline Imitation Learning via Optimal Transport 11 Oct 2024 martius-lab/zilot/zilot/parse.py 2c5481376eb91faa unverified MIT (permissive)
CleanDiffuser: An Easy-to-use Modularized Library for Diffusion Models in Decision Making 13 Jun 2024 Josh00-Lu/DiffusionVeteran/pipelines/utils.py b6b6a836ac8227fc unverified Apache-2.0 (permissive)
Reverse Forward Curriculum Learning for Extreme Sample and Demonstration Efficiency in Reinforcement Learning 6 May 2024 stonet2000/rfcl/rfcl/utils/parse.py ed51992b2a581ba6 ran no licence file found · pointer only
MoDem: Accelerating Visual Model-Based Reinforcement Learning with Demonstrations 12 Dec 2022 facebookresearch/modem/cfg_parse.py a28e11143461d211 unverified MIT recorded; this copy not marked cleared · pointer only
MemSeg: A semi-supervised method for image surface defect detection using differences and commonalities 2 May 2022 ntkhoa95/MemSeg-Defect-Detection/conversion.py 7e4d7de3fdbdb1bc unverified Apache-2.0 (permissive)
Adversarial Texture for Fooling Person Detectors in the Physical World 7 Mar 2022 WhoTHU/Adversarial_Texture/yolo2/cfg.py 93c283a4f6e6c40f unverified MIT (permissive)
BiPointNet: Binary Neural Network for Point Clouds 12 Oct 2020 htqin/BiPointNet/utils/utils.py 380c68b7dce6f8fa unverified MIT (permissive)
YOLOv4: Optimal Speed and Accuracy of Object Detection 23 Apr 2020 UtkarshKharche29/Automatic-Number-Plate-Recognition/tool/config.py 93c283a4f6e6c40f unverified Apache-2.0 (permissive)
YOLOv4: Optimal Speed and Accuracy of Object Detection 23 Apr 2020 hhk7734/tensorflow-yolov4/py_src/yolov4/common/parser.py 70d71d1178ac1ab8 unverified MIT (permissive)
Semantic Object Accuracy for Generative Text-to-Image Synthesis 29 Oct 2019 tohinz/semantic-object-accuracy-for-generative-text-to-image-synthesis/SOA/darknet.py 4587b69d57d6511b unverified MIT (permissive)
Role of Spatial Context in Adversarial Robustness for Object Detection 30 Sep 2019 UMBCvision/Contextual-Adversarial-Patches/cfg.py 93c283a4f6e6c40f unverified MIT (permissive)
Fooling automated surveillance cameras: adversarial patches to attack person detection 18 Apr 2019 Zhang-Jack/adversarial_yolo2/cfg.py 93c283a4f6e6c40f unverified MIT (permissive)
Segmentation-driven 6D Object Pose Estimation 6 Dec 2018 AP-EPFL/DA-segmentation-driven-pose/cfg.py b5bfd6725600f300 unverified MIT (permissive)
Estimating 6D Pose From Localizing Designated Surface Keypoints 4 Dec 2018 sjtuytc/betapose/3_6Dpose_estimator/yolo/darknet.py 4587b69d57d6511b unverified MIT (permissive)
YOLOv3: An Incremental Improvement 8 Apr 2018 GunjanChourasia/custom_detector_yolov3/darknet.py 4587b69d57d6511b unverified MIT (permissive)
You Only Look Once: Unified, Real-Time Object Detection 8 Jun 2015 3epochs/you-only-look-once/darknet.py 18a29e8e5e9a500b ran · our draft was wrong no licence file found · pointer only
arXiv:aaai_28123 sugar-fly/VSFormer/models/vanilla_transformer.py 135c1dcf77712d97 unverified MIT (permissive)
arXiv:Liu_UNOPose_Unseen_Object_Pose_Estimation_with_an_Unposed_RGB-D_Reference_CVPR_2025_paper shanice-l/UNOPose/core/unopose/model/transformer.py 135c1dcf77712d97 unverified MIT (permissive)
arXiv:Lin_HiPose_Hierarchical_Binary_Surface_Encoding_and_Correspondence_Pruning_for_RGB-D_CVPR_2024_paper lyltc1/HiPose/hipose/config_parser.py 2fef6610b1ad3911 unverified MIT (permissive)
arXiv:2024.acl-demos.24 mhulden/pyfoma/src/pyfoma/cfg.py 019f21efeabe338f unverified Apache-2.0 (permissive)

This site shows no code text; each File cell links to the file on GitHub at the repository's current default branch, which may have changed since the harvest. "Pointer only" means Syntology does not serve that copy's text, for one of four reasons: no licence file was found; the licence was not identified; the licence is recorded as permissive but that copy's record is not marked cleared; or the licence is outside the permissive list Syntology serves text under (MIT, Apache-2.0, BSD and similar). Some licences outside that list permit redistribution, such as WTFPL, and GPL-3.0 under its conditions; they are simply not on the list. Hover a licence cell for the reason. Per-sample records for a paper are on its paper page under "Code Syntology ran".

Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections