From 01f2372dad2ea17486cdc13b973f306ef7775b29 Mon Sep 17 00:00:00 2001 From: remi Date: Fri, 10 May 2019 10:27:34 +0200 Subject: [PATCH] DOC: update README with docker instructions --- README.md | 18 ++++++++++++++++-- 1 file changed, 16 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index f4e84e3..aa00113 100644 --- a/README.md +++ b/README.md @@ -23,8 +23,22 @@ Below are some screen captures of deep learning applications performed at large You can read more details about these applications on [this blog](https://mdl4eo.irstea.fr/2019/) -# How to install -This remote module has been tested successfully on Ubuntu 18 and CentOs 7 with last CUDA drivers. +# Docker image +You can build a docker image using the provided dockerfile. +Warning: TensorFlow and OTB are built with the minimal optimization flags, no CUDA/OpenCL enabled, no AVX and such for CPU. +The dockerfiles are located in `tools/dockerfiles/`. + +To build your docker image, just enter the following from the directory containing the `Dockerfile` you chose. +``` +# Build the docker image (troubleshooting: if any downloading operation fails, just re-run the command since it's incremental) +docker build --tag otbtf_image . +# Want export it? +docker save -o ../otbtf_image.tar otbtf_image:latest +``` +Feel free to contribute to this, adding more Dockerfiles! + +# Build from sources +This remote module has been tested successfully on Ubuntu 18 and CentOs 7 with last CUDA drivers, TensorFlow r1.14 and OTB develop (0df44b312d64d6c3890b65d3790d4a17d0fd5f23). ## Build OTB First, **build the latest *develop* branch of OTB from sources**. You can check the [OTB documentation](https://www.orfeo-toolbox.org/SoftwareGuide/SoftwareGuidech2.html) which details all the steps, if fact it is quite easy thank to the SuperBuild. -- GitLab