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Merge pull request #1002 from JuliaRobotics/master
release v0.16.2-rc1
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name: CI/CD Docs | ||
on: | ||
pull_request: | ||
push: | ||
branches: | ||
- master | ||
workflow_dispatch: | ||
|
||
jobs: | ||
docs: | ||
name: 'Build Docs' | ||
runs-on: ubuntu-latest | ||
strategy: | ||
matrix: | ||
include: | ||
- jlenv: 'docs/' | ||
makejl: 'docs/make.jl' | ||
# - jlenv: 'docs/pdf/' | ||
# makejl: 'docs/pdf/make.jl' | ||
steps: | ||
- uses: actions/checkout@v2 | ||
- uses: julia-actions/setup-julia@v1 | ||
with: | ||
version: '1.10' | ||
arch: x64 | ||
- name: 'Pkgs for Docs on ${{ github.head_ref }}' | ||
run: | | ||
export JULIA_PKG_SERVER="" | ||
[ '${{ github.ref }}' == 'refs/heads/master' ] && export CJL_DOCS_BRANCH="master" || export CJL_DOCS_BRANCH="${{ github.head_ref }}" | ||
export JULIA_PKG_PRECOMPILE_AUTO=0 | ||
julia -e 'println("Julia gets branch: ",ENV["CJL_DOCS_BRANCH"])' | ||
julia --project=${{ matrix.jlenv }} --check-bounds=yes -e 'using Pkg; Pkg.instantiate(); Pkg.add(PackageSpec(name="Caesar", rev=ENV["CJL_DOCS_BRANCH"]))' | ||
julia --project=${{ matrix.jlenv }} -e 'using Pkg; Pkg.add(PackageSpec(name="RoME", rev="master"))' | ||
julia --project=${{ matrix.jlenv }} -e 'using Pkg; Pkg.add(PackageSpec(name="RoMEPlotting", rev="master"))' | ||
julia --project=${{ matrix.jlenv }} -e 'using Pkg; Pkg.add(PackageSpec(name="KernelDensityEstimatePlotting", rev="master"))' | ||
julia --project=${{ matrix.jlenv }} -e 'using Pkg; Pkg.add(PackageSpec(name="IncrementalInference", rev="master"))' | ||
- name: 'Docs make.jl' | ||
run: | | ||
export JULIA_PKG_PRECOMPILE_AUTO=0 | ||
export DOCUMENTER_DEBUG="true" | ||
julia --project=${{ matrix.jlenv }} --color=yes ${{ matrix.makejl }} | ||
env: | ||
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} | ||
DOCUMENTER_KEY: ${{ secrets.DOCUMENTER_KEY }} | ||
JULIA_PKG_SERVER: "" |
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# [Visualization 3D](@ref visualization_3d) | ||
# [Visualization 3D](@id visualization_3d) | ||
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## Introduction | ||
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# Incorporating Neural Network Factors | ||
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IncrementalInference.jl and RoME.jl has native support for using Neural Networks (via [Flux.jl](https://fluxml.ai/Flux.jl/stable/)) as non-Gaussian factors. Documentation is forthcoming, but meanwhile [see the following generic Flux.jl factor structure](https://github.com/JuliaRobotics/IncrementalInference.jl/tree/master/src/Flux). Note also that a standard [`Mixture` approach already exists too](https://github.com/JuliaRobotics/RoME.jl/blob/master/src/factors/flux/MixtureFluxPose2Pose2.jl). | ||
IncrementalInference.jl and RoME.jl has native support for using Neural Networks (via [Flux.jl](https://fluxml.ai/Flux.jl/stable/)) as non-Gaussian factors. Documentation is forthcoming, but meanwhile [see the following generic Flux.jl factor structure](https://github.com/JuliaRobotics/IncrementalInference.jl/blob/master/ext/IncrInfrFluxFactorsExt.jl). Note also that a standard [`Mixture` approach already exists too](https://github.com/JuliaRobotics/RoME.jl/blob/master/ext/factors/MixtureFluxPose2Pose2.jl). | ||
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