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load_depth

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

load_depth appears in the code Syntology harvested for 15 papers, as 13 distinct code bodies found in 15 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 load_depth 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 13 distinct code bodies named load_depth; 11 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
2ran
11unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 3 of the 15 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

15 papers shown of 15, newest first; 15 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
Learning Fine-Grained Correspondence with Cross-Perspective Perception for Open-Vocabulary 6D Object Pose Estimation added by Syntology 2026-01 (from id) zjjqinyu/FiCoP/bop_toolkit_lib/inout.py 442114d278cb53d1 unverified no licence file found · pointer only
One2Any: One-Reference 6D Pose Estimation for Any Object 7 May 2025 lmy1001/One2Any/bop_toolkit_lib/inout.py 442114d278cb53d1 unverified MIT (permissive)
AutoVFX: Physically Realistic Video Editing from Natural Language Instructions 4 Nov 2024 haoyuhsu/autovfx/blender/blend_all.py 103bafd937e08be9 unverified MIT (permissive)
LEAP-VO: Long-term Effective Any Point Tracking for Visual Odometry 3 Jan 2024 wrchen530/leapvo/main/stream.py 7374e0ed28d16746 ran licence not identified · pointer only
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 eb28bfc3fc725eb1 ran MIT (permissive)
PlaneMVS: 3D Plane Reconstruction from Multi-View Stereo 22 Mar 2022 oppo-us-research/planemvs/data_preparation/generate_pixel_planar.py 5a25f72413bb176b unverified MIT (permissive)
CenterSnap: Single-Shot Multi-Object 3D Shape Reconstruction and Categorical 6D Pose and Size Estimation 3 Mar 2022 ibaiGorordo/ONNX-CenterSnap-6D-Pose-and-Shape-Estimation/centersnap/original_repo_utils.py ca690ba16e15b33f unverified MIT (permissive)
The Implicit Values of A Good Hand Shake: Handheld Multi-Frame Neural Depth Refinement 26 Nov 2021 princeton-computational-imaging/hndr/!DepthBundleApp/ConvertBinaries.py f153caaa9ac12019 unverified MIT (permissive)
Single Image 3D Object Estimation with Primitive Graph Networks 9 Sep 2021 hailieqh/3d-object-primitive-graph/3dprnn_pytorch/lib/utils/prnn_utils.py 3a33bf47ab32f237 unverified MIT (permissive)
Pano3D: A Holistic Benchmark and a Solid Baseline for $360^o$ Depth Estimation 6 Sep 2021 VCL3D/Pano3D/pano3d/dataset/loaders.py b56a7f87698badf0 unverified MIT (permissive)
Light Field Networks: Neural Scene Representations with Single-Evaluation Rendering 4 Jun 2021 vsitzmann/light-field-networks/data_util.py 83666af2324d73b9 unverified MIT (permissive)
BOP Challenge 2020 on 6D Object Localization 15 Sep 2020 thodan/bop_toolkit/bop_toolkit_lib/inout.py 1386b8ff1d40a52a unverified MIT (permissive)
Canonical 3D Deformer Maps: Unifying parametric and non-parametric methods for dense weakly-supervised category reconstruction 28 Aug 2020 facebookresearch/c3dm/c3dm/dataset/keypoints_dataset.py 31eeac46e3bfa3df unverified MIT recorded; this copy not marked cleared · pointer only
6-PACK: Category-level 6D Pose Tracker with Anchor-Based Keypoints 23 Oct 2019 j96w/6-PACK/dataset/data_preprocess.py 94794e512feb5e32 unverified MIT (permissive)
Scene Representation Networks: Continuous 3D-Structure-Aware Neural Scene Representations 4 Jun 2019 vsitzmann/scene-representation-networks/data_util.py 83666af2324d73b9 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".

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