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readPFM

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

readPFM appears in the code Syntology harvested for 24 papers, as 14 distinct code bodies found in 26 places (a place is one code body under one paper). At least one of them ran in 10 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 readPFM 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 14 distinct code bodies named readPFM; 11 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
2ran · our draft was wrong
0ran · fixture could not drive it
1ran
11unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 1 of the 26 places is 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

24 papers shown of 24, newest first; 26 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
DEFOM-Stereo: Depth Foundation Model Based Stereo Matching 16 Jan 2025 insta360-research-team/defom-stereo/core/utils/frame_utils.py 7c3fbc1f552de802 ran MIT (permissive)
Temporally Consistent Stereo Matching 16 Jul 2024 jiaxiZeng/Temporally-Consistent-Stereo-Matching/core/utils/frame_utils.py 7c3fbc1f552de802 ran MIT (permissive)
CPGA: Coding Priors-Guided Aggregation Network for Compressed Video Quality Enhancement 15 Mar 2024 VQE-CPGA/CPGA/utils/frame_utils.py 7c3fbc1f552de802 ran no licence file found · pointer only
DytanVO: Joint Refinement of Visual Odometry and Motion Segmentation in Dynamic Environments 17 Sep 2022 geniussh/dytanvo/Datasets/util_flow.py 5b0e5fbaa471b5a6 unverified BSD-3-Clause (permissive)
Particle Video Revisited: Tracking Through Occlusions Using Point Trajectories 8 Apr 2022 aharley/pips/flyingthingsdataset.py d4c1dfe6e2a09277 unverified MIT (permissive)
Sensor-Guided Optical Flow 30 Sep 2021 mattpoggi/sensor-guided-flow/core/utils/frame_utils.py 7c3fbc1f552de802 ran MIT (permissive)
MobileStereoNet: Towards Lightweight Deep Networks for Stereo Matching 22 Aug 2021 UCI-ISA-Lab/MultiHeadDepth-HomoDepth/utils.py a8f2a79258b4f21b unverified MIT (permissive)
SRH-Net: Stacked Recurrent Hourglass Network for Stereo Matching 25 May 2021 hongzhidu/SRHNet/evaluation.py 259c1efb59c8cc6f ran · our draft was wrong MIT (permissive)
SRH-Net: Stacked Recurrent Hourglass Network for Stereo Matching 25 May 2021 hongzhidu/SRHNet/dataloader/dataset.py 8bebef679adf02fe unverified MIT (permissive)
High-Resolution Optical Flow from 1D Attention and Correlation 28 Apr 2021 haofeixu/flow1d/utils/frame_utils.py 7c3fbc1f552de802 ran MIT (permissive)
CFNet: Cascade and Fused Cost Volume for Robust Stereo Matching 9 Apr 2021 gallenszl/MSMD-Net/datasets/readpfm.py d8dba6f53d86a041 unverified MIT (permissive)
Displacement-Invariant Matching Cost Learning for Accurate Optical Flow Estimation 28 Oct 2020 jytime/DICL-Flow/utils/frame_utils.py 7c3fbc1f552de802 ran MIT (permissive)
Hierarchical Neural Architecture Search for Deep Stereo Matching 26 Oct 2020 XuelianCheng/LEAStereo/predict.py 135cb558ec24e0e8 ran · our draft was wrong MIT (permissive)
Continual Adaptation for Deep Stereo 10 Jul 2020 CVLAB-Unibo/Real-time-self-adaptive-deep-stereo/Data_utils/continual_data_reader.py 5bd87bf6c7536635 unverified Apache-2.0 (permissive)
Wasserstein Distances for Stereo Disparity Estimation 6 Jul 2020 Div99/W-Stereo-Disp/src/disp_dataloader/readpfm.py aaea02c311c902eb unverified MIT (permissive)
Analyzing and Improving the Image Quality of StyleGAN 3 Dec 2019 EmptySamurai/pytorch-reconet/IO.py 0564ba38597daf7c unverified MIT (permissive)
Track to Reconstruct and Reconstruct to Track 30 Sep 2019 tobiasfshr/MOTSFusion/file_io/io_utils.py 0564ba38597daf7c unverified MIT (permissive)
Spatio-Temporal Filter Adaptive Network for Video Deblurring 28 Apr 2019 sczhou/STFAN/utils/imgio_gen.py 0564ba38597daf7c unverified MIT (permissive)
GA-Net: Guided Aggregation Net for End-to-end Stereo Matching 13 Apr 2019 feihuzhang/GANet/evaluation.py 259c1efb59c8cc6f ran · our draft was wrong MIT (permissive)
GA-Net: Guided Aggregation Net for End-to-end Stereo Matching 13 Apr 2019 skumailraza/FRSNet-GA/evaluation.py e614bb1349b10c4f unverified MIT (permissive)
Learning to Adapt for Stereo 5 Apr 2019 CVLAB-Unibo/Learning2AdaptForStereo/Data_utils/data_reader.py 5bd87bf6c7536635 unverified Apache-2.0 (permissive)
Hierarchical Discrete Distribution Decomposition for Match Density Estimation 15 Dec 2018 ucbdrive/hd3/utils/pfm.py 9c71f0f578921ed1 unverified BSD-3-Clause (permissive)
Anytime Stereo Image Depth Estimation on Mobile Devices 26 Oct 2018 mileyan/AnyNet/dataloader/readpfm.py aaea02c311c902eb unverified MIT (permissive)
Very Deep Convolutional Networks for Large-Scale Image Recognition 4 Sep 2014 vwegn/dm/flow_IO.py 0564ba38597daf7c unverified MIT (permissive)
arXiv:aaai_20056 SpadeLiu/Lac-GwcNet/dataloader/readpfm.py 973b549613a75154 unverified MIT (permissive)
arXiv:Zeng_Parameterized_Cost_Volume_for_Stereo_Matching_ICCV_2023_paper jiaxiZeng/Parameterized-Cost-Volume-for-Stereo-Matching/core/utils/frame_utils.py 7c3fbc1f552de802 ran 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