You can also find more interesting OTBTF flavored images at [LaTelescop gitlab registry](https://gitlab.com/latelescop/docker/otbtf/container_registry/).
...
...
@@ -56,7 +58,7 @@ For instance, suppose you have some data in `/mnt/my_device/` that you want to u
The following command shows you how to access the folder from the docker image.
```bash
docker run -v /mnt/my_device/:/data/ -ti mdl4eo/otbtf3.1:cpu-basic bash -c"ls /data"
docker run -v /mnt/my_device/:/data/ -ti mdl4eo/otbtf3.2.1:cpu bash -c"ls /data"
```
Beware of ownership issues! see the last section of this doc.
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...
@@ -69,13 +71,13 @@ You can then use the OTBTF `gpu` tagged docker images with the **NVIDIA runtime*
With Docker version earlier than 19.03 :
```bash
docker run --runtime=nvidia -ti mdl4eo/otbtf3.1:gpu bash
docker run --runtime=nvidia -ti mdl4eo/otbtf3.2.1:gpu bash
```
With Docker version including and after 19.03 :
```bash
docker run --gpus all -ti mdl4eo/otbtf3.1:gpu bash
docker run --gpus all -ti mdl4eo/otbtf3.2.1:gpu bash
```
You can find some details on the **GPU docker image** and some **docker tips and tricks** on [this blog](https://mdl4eo.irstea.fr/2019/10/15/otbtf-docker-image-with-gpu/).
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@@ -88,7 +90,7 @@ Be careful though, these infos might be a bit outdated...
1. Install [WSL2](https://docs.microsoft.com/en-us/windows/wsl/install-win10#manual-installation-steps)(Windows Subsystem for Linux)