Science Score: 26.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
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○Academic publication links
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○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (8.6%) to scientific vocabulary
Last synced: 11 months ago
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JSON representation
Repository
nothing to do
Basic Info
- Host: GitHub
- Owner: ishA7146An
- License: mit
- Language: Jupyter Notebook
- Default Branch: main
- Size: 220 MB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Created over 1 year ago
· Last pushed 11 months ago
Metadata Files
Readme
Changelog
Contributing
Funding
License
Code of conduct
Citation
Codeowners
Security
Governance
Authors
Notice
Copyright
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: ishA7146An
- Kind: user
- Repositories: 1
- Profile: https://github.com/ishA7146An
Dependencies
.github/workflows/ci-plus.yml
actions
- actions/checkout v3 composite
- actions/setup-python v4 composite
Cargo.lock
cargo
- 488 dependencies
Cargo.toml
cargo
DESCRIPTION
cran
- base64enc * imports
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- jsonlite * imports
- tibble * imports
.github/workflows/api-gateway.yaml
actions
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bower.json
bower
Dockerfile
docker
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cloud-native-backend/Dockerfile
docker
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docker-compose.yml
docker
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udacity-c3-deployment/docker/Dockerfile
docker
- nginx alpine build
go.mod
go
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kubeutil/go.mod
go
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build.gradle
maven
code/Flink/flink-basis-java/pom.xml
maven
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pom.xml
maven
webporter-collector-zhihu/pom.xml
maven
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backend/package-lock.json
npm
- 207 dependencies
client/package-lock.json
npm
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client/yarn.lock
npm
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package-lock.json
npm
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package.json
npm
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yarn.lock
npm
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FSH.StarterKit.nuspec
nuget
composer.json
packagist
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prokit_flutter/pubspec.yaml
pub
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pubspec.lock
pub
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pyproject.toml
pypi
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requirements.txt
pypi
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setup.py
pypi
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Gemfile
rubygems
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Gemfile.lock
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.github/workflows/gateway.yml
actions
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actions
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.github/workflows/codeql-analysis.yml
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.github/workflows/lint_python.yml
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.github/workflows/main.yml
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Pipfile.lock
pypi
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environment.yml
pypi