pupilometry

Pupilometry GUI

https://github.com/spruce-tone/pupilometry

Science Score: 54.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
  • Academic publication links
    Links to: zenodo.org
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (7.8%) to scientific vocabulary
Last synced: 6 months ago · JSON representation ·

Repository

Pupilometry GUI

Basic Info
  • Host: GitHub
  • Owner: Spruce-tone
  • License: agpl-3.0
  • Language: Python
  • Default Branch: main
  • Size: 3.33 MB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 1
Created about 4 years ago · Last pushed about 3 years ago
Metadata Files
Readme License Citation

README.md

Pupilometry

DOI
It is commonly hard to take image using CMOS (or CCD) sensor during taking MRI (magnetic resonance imaging) signal due to the magnetic compatibility or electromagnetic interference. For that, we bought commercialized MR compatible camera and have developed this software to control the devices conveniently. This tool implement the keypoint detection model to automatically measure the pupil size in real time. If you want to detect keypoint from another type object, refer this site and train for your data

Requirements

Copy below files from here and paste to lib directory
TIS_UDSHL11_x64.dll tisgrabber_x64.dll
Refer to the conda envrionment file for installing python packages

Test environment

CPU : AMD Ryzen 9 5900X GPU : NVIDIA GeForceRTX 3080Ti memory : 64 GB OS : windows11 Virtual env : Conda TTL generator : Master9

hardware

We used commercial MR compatible camera(12M-i, MRC), filter box and TTL recevier (Adventech) bought from MRC.
I designed this software to recognize the TTL signal that Vpp=5V, Vmax=5V, Vmin=0 and duration > 200ms

Run

Run FlyingSesame.py file in terminal python FlyingSesame.py 캡처

Mascot

Sesame

Reference

[1] https://github.com/TheImagingSource/IC-Imaging-Control-Samples
[2] https://github.com/DeepLabCut/DeepLabCut

Owner

  • Login: Spruce-tone
  • Kind: user

Citation (citation.cff)

cff-version: 1.0.0
authors:
- family-names: "Jo"
  given-names: "Yongjae"
  orcid: "https://orcid.org/0000-0001-6585-0012"
title: "Pupilometry, FlyingSesame"
version: 1.0.0
doi : 10.5281/zenodo.7575101
date-released: 2023-01-27
url: "https://github.com/Spruce-tone/pupil"
preferred-citation:
  type: software
  authors:
  - family-names: "Jo"
    given-names: "Yongjae"
  orcid: "https://orcid.org/0000-0001-6585-0012"

GitHub Events

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Last synced: almost 2 years ago

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  • Total pull requests: 1
  • Average time to close issues: N/A
  • Average time to close pull requests: 1 minute
  • Total issue authors: 0
  • Total pull request authors: 1
  • Average comments per issue: 0
  • Average comments per pull request: 0.0
  • Merged pull requests: 1
  • Bot issues: 0
  • Bot pull requests: 0
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  • Pull requests: 0
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  • Spruce-tone (1)
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Dependencies

Dockerfile docker
  • continuumio/miniconda3 latest build
docker-compose.yml docker
environment.yml pypi
  • absl-py ==1.0.0
  • altgraph ==0.17.2
  • astunparse ==1.6.3
  • cached-property ==1.5.2
  • cachetools ==5.0.0
  • charset-normalizer ==2.0.11
  • colorama ==0.4.4
  • colorcet ==3.0.0
  • cycler ==0.11.0
  • decorator ==4.4.2
  • deeplabcut-live ==1.0.1
  • filterpy ==1.4.5
  • flatbuffers ==2.0
  • fonttools ==4.29.1
  • future ==0.18.2
  • gast ==0.4.0
  • google-auth ==2.6.0
  • google-auth-oauthlib ==0.4.6
  • google-pasta ==0.2.0
  • grpcio ==1.43.0
  • h5py ==3.6.0
  • idna ==3.3
  • imageio ==2.15.0
  • imageio-ffmpeg ==0.4.5
  • imgaug ==0.4.0
  • importlib-metadata ==4.11.0
  • joblib ==1.1.0
  • keras ==2.7.0
  • keras-preprocessing ==1.1.2
  • kiwisolver ==1.3.2
  • libclang ==13.0.0
  • llvmlite ==0.38.0
  • markdown ==3.3.6
  • matplotlib ==3.5.1
  • matplotlib-inline ==0.1.3
  • moviepy ==1.0.3
  • msgpack ==1.0.3
  • msgpack-numpy ==0.4.7.1
  • networkx ==2.6.3
  • numba ==0.55.1
  • numexpr ==2.8.1
  • numpy ==1.18.5
  • oauthlib ==3.2.0
  • opencv-python ==4.5.5.62
  • opt-einsum ==3.3.0
  • packaging ==21.3
  • pandas ==1.3.5
  • param ==1.12.0
  • patsy ==0.5.2
  • pefile ==2021.9.3
  • pillow ==9.0.1
  • proglog ==0.1.9
  • prompt-toolkit ==3.0.27
  • protobuf ==3.19.4
  • psutil ==5.9.0
  • py-cpuinfo ==5.0.0
  • pyasn1 ==0.4.8
  • pyasn1-modules ==0.2.8
  • pyct ==0.4.8
  • pyinstaller ==4.9
  • pyinstaller-hooks-contrib ==2022.1
  • pyparsing ==3.0.7
  • pyqt5 ==5.15.6
  • pyqt5-qt5 ==5.15.2
  • pyqt5-sip ==12.9.1
  • pyqtgraph ==0.12.3
  • pytz ==2021.3
  • pywavelets ==1.2.0
  • pywin32-ctypes ==0.2.0
  • pyyaml ==6.0
  • pyzmq ==22.3.0
  • requests ==2.27.1
  • requests-oauthlib ==1.3.1
  • rsa ==4.8
  • ruamel-yaml ==0.17.20
  • ruamel-yaml-clib ==0.2.6
  • scikit-image ==0.18.1
  • scikit-learn ==1.0.2
  • scipy ==1.7.3
  • shapely ==1.8.0
  • statsmodels ==0.13.2
  • tables ==3.6.1
  • tabulate ==0.8.9
  • tensorboard ==2.8.0
  • tensorboard-data-server ==0.6.1
  • tensorboard-plugin-wit ==1.8.1
  • tensorflow ==2.7.1
  • tensorflow-estimator ==2.7.0
  • tensorflow-io-gcs-filesystem ==0.24.0
  • tensorpack ==0.11
  • termcolor ==1.1.0
  • tf-slim ==1.1.0
  • threadpoolctl ==3.1.0
  • tifffile ==2021.11.2
  • tqdm ==4.62.3
  • typing-extensions ==4.0.1
  • urllib3 ==1.26.8
  • werkzeug ==2.0.3
  • wrapt ==1.13.3
  • wxpython ==4.0.7.post2
  • zipp ==3.7.0