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get_bounding_box

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

get_bounding_box appears in the code Syntology harvested for 8 papers, as 8 distinct code bodies found in 8 places (a place is one code body under one paper). At least one of them ran in 5 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 get_bounding_box 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 5 of the 8 distinct code bodies named get_bounding_box; 3 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

1ran · honoured contract
0ran · violated contract
0ran · our draft was wrong
0ran · fixture could not drive it
4ran
3unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 3 of the 8 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

8 papers shown of 8, newest first; 8 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, and the graph's for 1 papers added by Syntology. 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
RoboLayout: Differentiable 3D Scene Generation for Embodied Agents added by Syntology 2026-03 (from id) alishams21/robolayout/src/layoutvlm/constraints.py 2f70912afcc4045c unverified no licence file found · pointer only
Caption Anything in Video: Fine-grained Object-centric Captioning via Spatiotemporal Multimodal Prompting 7 Apr 2025 yunlong10/CAT-V/gradio_app.py 4226ecff44930e51 unverified BSD-3-Clause (permissive)
LLaRA: Supercharging Robot Learning Data for Vision-Language Policy 28 Jun 2024 LostXine/LLaRA/eval/vima_utils.py b77412266f910afa ran Apache-2.0 (permissive)
Divide and Conquer: Provably Unveiling the Pareto Front with Multi-Objective Reinforcement Learning 11 Feb 2024 wilrop/ipro/ipro/environments/bounding_boxes.py 3679b98747532498 ran no licence file found · pointer only
Multi-stream Cell Segmentation with Low-level Cues for Multi-modality Images 22 Oct 2023 lhaof/cellseg/overlay.py db85af612797999c ran AGPL-3.0 (copyleft) · pointer only
Deep Learning for Optimization of Trajectories for Quadrotors 2023-09 (from id) yuwei-wu/allocnet/network/utils/pcd_segmentation.py 187a24f37b014aa7 ran BSD-3-Clause (permissive)
Unsupervised Object Learning via Common Fate 13 Oct 2021 mtangemann/common_fate_object_learning/extract_object_crops.py 8026147d950bf149 ran · honoured contract MIT (permissive)
Deep learning with self-supervision and uncertainty regularization to count fish in underwater images 30 Apr 2021 ptarling/DeepLearningFishCounting/Unlabelled_data_preprocessing/unlabelled_data_preprocessing.py 6f5c2fbb20c86082 unverified MIT (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