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ccfhgyfy

https://github.com/jwaa2hr59/ccfhgyfy

Science Score: 26.0%

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

  • ○
    CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ○
    DOI references
  • ○
    Academic publication links
  • ○
    Academic email domains
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (8.6%) to scientific vocabulary
Last synced: 10 months ago · JSON representation

Repository

Basic Info
  • Host: GitHub
  • Owner: JwAA2hr59
  • License: mit
  • Language: Jupyter Notebook
  • Default Branch: main
  • Size: 292 MB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 5
  • Releases: 0
Created almost 2 years ago · Last pushed 10 months ago
Metadata Files
Readme Changelog Contributing Funding License Code of conduct Citation Codeowners Security Support Roadmap Authors Notice Cla

README 

To actually get this beast to run on your computer, you'll probably have to 
edit some of the matlab files in the config/ subdirectory.
(1) config/datapath.m should return the path where you have your videos stored.
    The path should point to a directory which includes a subdirectory for each video.
    E.g. $(datapath)/tiger2/.
    Each subdirectory should contain files with ground truth labelings and images similar
    to what MIL-Track uses. 
    As an example, see my track-data.zip file. 
(2) cluster_ctl is called like so cluster_ctl('on',...) or cluster_ctl('off',...)
    to enable or disable the matlab pool. I have three pools, with different characteristics,
    available to me so this function, heuristically, selects the best one. Depending on what 
    type of MATLAB pools you have, you'll need to rewrite this function. The simplest option
    would be to call "matlabpool open" when called with "on" and "matlabpool close" when 
    called with "off". 
(3) You should be able to compile by simplying calling "compile.m". I've tested this on Linux
    and it should work on other OSs... I welcome patches. 
(4) config/cfg.m : lets you stitch many of the parameters of the tracker. Of particular
    interest will be the option 'tmp_dir'. You'll want to point this to an empty directory
    which is writable. It is used for caching results. 

Then, you "should" be able to run it with a command similar to the following:
      addpath(genpath('.')); matlab_init('coke11'); track = track_online('coke11');

Alternatively, you might just use track_tbd('coke11'); which doesn't do any learning (after
  the first frame) or use a motion model. It is much faster and still performs quite well.

Owner

  • Login: JwAA2hr59
  • Kind: user

Issues and Pull Requests

Last synced: 10 months ago

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  • Bot issues: 0
  • Bot pull requests: 3
Past Year
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  • Pull requests: 3
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dependencies (3) github_actions (3)

Dependencies

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backend/Pipfile pypi
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requirements_colab.txt pypi
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  • pyparsing ==2.4.0
  • pyssim ==0.4
  • python-dateutil ==2.8.0
  • python-speech-features ==0.6
  • pytz ==2019.2
  • pyzmq ==18.1.0
  • requests ==2.22.0
  • resampy ==0.2.1
  • scikit-image ==0.15.0
  • scikit-learn ==0.21.2
  • scipy ==1.2.0
  • six ==1.12.0
  • tensorboard ==1.14.0
  • tensorflow-estimator ==1.14.0rc1
  • tensorflow-gpu ==1.14.0
  • termcolor ==1.1.0
  • torch ==1.1.0
  • torchfile ==0.1.0
  • torchvision ==0.4.0
  • tornado ==6.0.3
  • tqdm ==4.19.6
  • traitlets ==4.3.2
  • urllib3 ==1.25.3
  • visdom ==0.1.8.9
  • wcwidth ==0.1.7
  • websocket-client ==0.56.0
  • wrapt ==1.11.1
setup.py pypi
  • jinja2 *
  • markdown *
  • watchdog *
.github/workflows/docker-publish.yaml actions
  • actions/checkout v4 composite
  • docker/build-push-action v3.0.0 composite
  • docker/login-action v2.0.0 composite
  • docker/metadata-action v4.0.1 composite
Cargo.toml cargo
  • tempfile 3.0 development
  • chrono 0.4
  • clap 4.0
  • env_logger 0.10
  • log 0.4
  • serde 1.0
  • serde_json 1.0
.github/workflows/ci.yaml actions
  • actions/checkout v3 composite
  • rhysd/action-setup-vim v1 composite
environment.yml conda
  • arviz 0.6.*
  • gast 0.2.*
  • git 2.23.*
  • gpytorch 1.1.*
  • gsl 2.6.*
  • imageio 2.8.*
  • ipykernel 5.1.*
  • ipython 7.13.*
  • ipython_genutils 0.2.*
  • ipywidgets 7.5.*
  • keras 2.3.*
  • matplotlib-base 3.1.*
  • mkl 2019.4.*
  • mkl-service 2.3.*
  • nbformat 5.0.*
  • notebook 6.0.*
  • numpy 1.18.*
  • pandas 1.0.*
  • pip 20.0.*
  • plotly 4.6.*
  • python 3.6.*
  • pytorch 1.5.*
  • scikit-learn 0.22.*
  • scipy 1.4.*
  • seaborn 0.10.*
  • statsmodels 0.10.*
  • tensorflow 2.0.*
  • tqdm 4.46.*
code/Flink/flink-basis-java/pom.xml maven
  • org.apache.flink:flink-java 1.9.0 provided
  • org.apache.flink:flink-streaming-java_2.11 1.9.0 provided
  • org.projectlombok:lombok 1.18.10 provided
  • log4j:log4j 1.2.17
  • org.slf4j:slf4j-log4j12 1.7.7
backend/package-lock.json npm
  • 166 dependencies
requirement.txt pypi
  • 1.neo4j-community-3.5.20 *
  • 2.pyhanlp0.1.66 *
  • 3.django2.2.16 *
  • 4.py2neo2020.0.0 *
  • 5.apoc3.5.0.13-all *
  • 6.pytorch1.5 *
  • 7.torchtext0.6.0 *