Home › Code › get_bbox

get_bbox

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

get_bbox appears in the code Syntology harvested for 19 papers, as 21 distinct code bodies found in 25 places (a place is one code body under one paper). At least one of them ran in 4 of the papers; 3 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 get_bbox 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 4 of the 21 distinct code bodies named get_bbox; 17 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
0ran · our draft was wrong
0ran · fixture could not drive it
4ran
17unverified
3fingerprinted

Licence is a property of each copy, so it is counted per place: 2 of the 25 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; 25 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; 2 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
ShowUI: One Vision-Language-Action Model for GUI Visual Agent 26 Nov 2024 showlab/showui/main/eval_mind2web.py 722a5095911699c3 unverified Apache-2.0 (permissive)
ShowUI: One Vision-Language-Action Model for GUI Visual Agent 26 Nov 2024 showlab/showui/main/eval_screenspot.py b6b2e338236414ad unverified Apache-2.0 (permissive)
BrepGen: A B-rep Generative Diffusion Model with Structured Latent Geometry 28 Jan 2024 samxuxiang/brepgen/data_process/convert_utils.py b8f6f43364c78a51 ran fingerprinted licence not identified · pointer only
DHGCN: Dynamic Hop Graph Convolution Network for Self-Supervised Point Cloud Learning 5 Jan 2024 jinec98/dhgcn/obj_cls/part_utils.py e7265e424425b99c ran no licence file found · pointer only
Co-Evolution of Pose and Mesh for 3D Human Body Estimation from Video 20 Aug 2023 kasvii/pmce/lib/coord_utils.py 912d2d6834cd5bb4 ran fingerprinted MIT (permissive)
VI-Net: Boosting Category-level 6D Object Pose Estimation via Learning Decoupled Rotations on the Spherical Representations 19 Aug 2023 jiehonglin/vi-net/utils/data_utils.py 264718ba0a28f74b ran fingerprinted MIT (permissive)
Consistency Regularization for Domain Generalization with Logit Attribution Matching 13 May 2023 gaohan123/lam/copy_paste_aug/wild_mask_bbox.py 7a5537948fe58d0d unverified Apache-2.0 (permissive)
Segment Anything in Medical Images 24 Apr 2023 bowang-lab/medsam/extensions/seg_3dnii_sparse_marker/medsam_infer_3Dbox_adrenal.py 51f06686c44f5a62 unverified Apache-2.0 (permissive)
NeRS: Neural Reflectance Surfaces for Sparse-view 3D Reconstruction in the Wild 14 Oct 2021 jasonyzhang/ners/ners/data.py 4d4e8165125c15e0 unverified BSD-3-Clause (permissive)
Learning to Estimate Robust 3D Human Mesh from In-the-Wild Crowded Scenes 15 Apr 2021 hongsukchoi/3dcrowdnet_release/tool/match_3dpw_2dpose.py f8a96dbb98029759 unverified MIT (permissive)
I2L-MeshNet: Image-to-Lixel Prediction Network for Accurate 3D Human Pose and Mesh Estimation from a Single RGB Image 9 Aug 2020 mks0601/I2L-MeshNet_RELEASE/common/utils/preprocessing.py 4c4e76eb0f9e0f81 unverified MIT (permissive)
Robust 6D Object Pose Estimation by Learning RGB-D Features 29 Feb 2020 mentian/object-posenet/eval_ycb.py e1034ecabd32d150 unverified MIT (permissive)
Robust 6D Object Pose Estimation by Learning RGB-D Features 29 Feb 2020 mentian/object-posenet/datasets/linemod/dataset.py c786fa4f4fff59e8 unverified MIT (permissive)
Robust 6D Object Pose Estimation by Learning RGB-D Features 29 Feb 2020 mentian/object-posenet/datasets/ycb/dataset.py 494f38b6783845e0 unverified MIT (permissive)
Use of a Capsule Network to Detect Fake Images and Videos 28 Oct 2019 nii-yamagishilab/Capsule-Forensics-v2/datascripts/create_dataset_Deepfakes.py 1c163e5aaa25f120 unverified BSD-3-Clause (permissive)
Three-D Safari: Learning to Estimate Zebra Pose, Shape, and Texture from Images "In the Wild" 20 Aug 2019 silviazuffi/smalst/smal_eval.py 251a4caf1c684e45 unverified MIT (permissive)
Multi-task Learning For Detecting and Segmenting Manipulated Facial Images and Videos 17 Jun 2019 nii-yamagishilab/ClassNSeg/create_dataset_Deepfakes.py 16f66df5e55a742d unverified BSD-3-Clause (permissive)
Multi-task Learning For Detecting and Segmenting Manipulated Facial Images and Videos 17 Jun 2019 nii-yamagishilab/ClassNSeg/create_dataset_Face2Face.py 2e049bdf24271e9a unverified BSD-3-Clause (permissive)
DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion 15 Jan 2019 cxt98/Densefusion-transparency/tools/eval_ycb.py e1034ecabd32d150 unverified MIT (permissive)
DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion 15 Jan 2019 RiplleYang/DenseFusion/datasets/linemod/dataset.py 8a2471fdc7dceb0b unverified MIT (permissive)
Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks 17 Jan 2017 LMescheder/AdversarialVariationalBayes/avb/utils.py 6ba526403646bcdf unverified MIT (permissive)
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation 2 Dec 2016 SBPL-Cruz/perch_pose_sampler/pointnet/dataset.py d9064882510d8ae7 unverified MIT (permissive)
arXiv:Wang_3D_Human_Mesh_Recovery_with_Sequentially_Global_Rotation_Estimation_ICCV_2023_paper kennethwdk/SGRE/tool/match_3dpw_2dpose.py f8a96dbb98029759 unverified MIT (permissive)
arXiv:Lin_ShowUI_One_Vision-Language-Action_Model_for_GUI_Visual_Agent_CVPR_2025_paper showlab/ShowUI/main/eval_mind2web.py 722a5095911699c3 unverified Apache-2.0 (permissive)
arXiv:Lin_ShowUI_One_Vision-Language-Action_Model_for_GUI_Visual_Agent_CVPR_2025_paper showlab/ShowUI/main/eval_screenspot.py b6b2e338236414ad 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