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crop_patch

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

crop_patch appears in the code Syntology harvested for 10 papers, as 6 distinct code bodies found in 10 places (a place is one code body under one paper). At least one of them ran in 5 of the papers; 1 of the code bodies carries 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 crop_patch 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 1 of the 6 distinct code bodies named crop_patch; 5 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
1ran
5unverified
1fingerprinted

Licence is a property of each copy, so it is counted per place: 2 of the 10 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

10 papers shown of 10, newest first; 10 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; 1 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
HAIR: Hypernetworks-based All-in-One Image Restoration 15 Aug 2024 toummHus/HAIR/utils/image_utils.py 86abcfa12b6612f0 ran fingerprinted no licence file found · pointer only
UniProcessor: A Text-induced Unified Low-level Image Processor 30 Jul 2024 intmegroup/uniprocessor/ir_data_air/image_utils.py 86abcfa12b6612f0 ran fingerprinted MIT (permissive)
Towards Ultra-High-Definition Image Deraining: A Benchmark and An Efficient Method 27 May 2024 cschenxiang/udr-mixer/codes/utils/image_utils.py 86abcfa12b6612f0 ran fingerprinted no licence file found · pointer only
Dynamic Pre-training: Towards Efficient and Scalable All-in-One Image Restoration 2 Apr 2024 akshaydudhane16/dynet/utils/image_utils.py 86abcfa12b6612f0 ran fingerprinted MIT (permissive)
AdaIR: Adaptive All-in-One Image Restoration via Frequency Mining and Modulation 21 Mar 2024 c-yn/adair/utils/image_utils.py 86abcfa12b6612f0 ran fingerprinted MIT (permissive)
dugMatting: Decomposed-Uncertainty-Guided Matting 2 Jun 2023 fire-friend/dugmatting/utils/loss_util.py 77587915f3a74c09 unverified MIT (permissive)
Leveraging Unimodal Self-Supervised Learning for Multimodal Audio-Visual Speech Recognition 24 Feb 2022 lumia-group/leveraging-self-supervised-learning-for-avsr/preprocess/preprocessing.py 04af7ca817c65533 unverified MIT (permissive)
Leveraging Real Talking Faces via Self-Supervision for Robust Forgery Detection 18 Jan 2022 ahaliassos/RealForensics/preprocessing/extract_faces.py 07bbc166629ba9b2 unverified MIT (permissive)
Real-time Scene Text Detection with Differentiable Binarization 20 Nov 2019 18520339/dbnet-tf2/tfdbnet/utils.py 380431820253ae48 unverified MIT (permissive)
arXiv:Ren_Adaptive_Consistency_Prior_Based_Deep_Network_for_Image_Denoising_CVPR_2021_paper chaoren88/DeamNet/Dataset/train/gen_dataset_real.py 78915c98704f0eb1 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