# \[ANN\] PPN.jl and Gomah.jl

**URL:** <https://discourse.julialang.org/t/ann-ppn-jl-and-gomah-jl/31665>\
**Category:** Package Announcements\
**Tags:** announcement\
**Created:** [November 29, 2019, 4:08pm UTC](https://discourse.julialang.org/t/ann-ppn-jl-and-gomah-jl/31665 "2019-11-29T16:08:59Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![terasakisatoshi](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/terasakisatoshi/32/9187_2.png) [@terasakisatoshi](https://discourse.julialang.org/u/terasakisatoshi)\
**Post date:** [November 29, 2019, 4:09pm UTC](https://discourse.julialang.org/t/ann-ppn-jl-and-gomah-jl/31665/1 "2019-11-29T16:09:00Z")

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- I’m happy to announce the release of [PPN.jl](https://github.com/terasakisatoshi/PPN.jl) which is a Deep Learning based Pose Estimation application that utilizes [Chainer](https://chainer.org/) and [Flux.jl](https://github.com/FluxML/Flux.jl). It includes demo script that captures image from camera (via [VideoIO.jl](https://github.com/JuliaIO/VideoIO.jl), [Images.jl](https://github.com/JuliaImages/Images.jl)), runs Flux model and finally visualize result (via [ImageDraw.jl](https://github.com/JuliaImages/ImageDraw.jl), [Makie.jl](https://github.com/JuliaPlots/Makie.jl))with realtime speed without GPU acceleration.

- I’ve also implemented [Gomah.jl](https://github.com/terasakisatoshi/Gomah.jl) which provides weight converter from Chainer to Flux via [PyCall.jl](https://github.com/JuliaPy/PyCall.jl). Therefore we can utilize Chainer model with Julia.

- Check our my repository to learn more.