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crop_img

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

crop_img appears in the code Syntology harvested for 12 papers, as 9 distinct code bodies found in 13 places (a place is one code body under one paper). At least one of them ran in 6 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 crop_img 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 3 of the 9 distinct code bodies named crop_img; 6 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
1ran · fixture could not drive it
1ran
6unverified
3fingerprinted

Licence is a property of each copy, so it is counted per place: 4 of the 13 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

12 papers shown of 12, newest first; 13 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; 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
PseudoMapTrainer: Learning Online Mapping without HD Maps added by Syntology 2025-08 (from id) boschresearch/PseudoMapTrainer/RoGS/post_process.py 4b5d78f71c2b27fa unverified AGPL-3.0 (copyleft) · pointer only
HAIR: Hypernetworks-based All-in-One Image Restoration 15 Aug 2024 toummHus/HAIR/utils/image_utils.py 11c75b3b8bc61c21 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 11c75b3b8bc61c21 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 11c75b3b8bc61c21 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 11c75b3b8bc61c21 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 11c75b3b8bc61c21 ran fingerprinted MIT (permissive)
Key Points Estimation and Point Instance Segmentation Approach for Lane Detection 16 Feb 2020 pandamax/Lane-Detection-Based-PINet/inference/merged_caffemodel_inference.py 1d87d42816416711 unverified MIT (permissive)
fastMRI: An Open Dataset and Benchmarks for Accelerated MRI 21 Nov 2018 sidgautam95/adaptive-sampling-mri-suno/utils/utils.py 826e7f9be374b2be unverified MIT (permissive)
Learning to Forecast and Refine Residual Motion for Image-to-Video Generation 26 Jul 2018 garyzhao/FRGAN/dfa/face.py b228caa6744033c7 unverified Apache-2.0 (permissive)
U-Net: Convolutional Networks for Biomedical Image Segmentation 18 May 2015 KarthikDulam/U-NetCNN/Unet.py 4d9617b6788b20d0 ran · fixture could not drive it fingerprinted MIT (permissive)
U-Net: Convolutional Networks for Biomedical Image Segmentation 18 May 2015 taha7ussein007/Papers_Implementation/Paper_Implementation_From_Scratch/UNet_FromScrach_Pytorch/UNet.py 42944dfa5c47b5cf ran · our draft was wrong fingerprinted no licence file found · pointer only
arXiv:Gao_AsyFOD_An_Asymmetric_Adaptation_Paradigm_for_Few-Shot_Domain_Adaptive_Object_CVPR_2023_paper Hlings/AsyFOD/detect.py b0f6cbe04b98a6a1 unverified MIT (permissive)
arXiv:136850478 leo-gb/UMA/ccs_training/models/data.py c072ec9405d3b3bc 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