chore: move DeepDetect docker images to jolibrain's self-hosted registry

README.md

@@ -23,6 +23,24 @@ Please join the community on [Gitter](https://gitter.im/beniz/deepdetect), where
 
 ---
 
+| Build type | STABLE | DEVEL |
+|------|--------|-------|
+| SOURCE | <img src="https://img.shields.io/github/v/release/jolibrain/deepdetect?color=success&sort=semver"> | <img src="https://img.shields.io/github/commits-since/jolibrain/deepdetect/latest/master"> |
+
+All DeepDetect Docker images available from https://docker.jolibrain.com/.
+
+- To list all available images:
+```
+curl -X GET https://docker.jolibrain.com/v2/_catalog
+```
+
+- To list an image available tags, e.g. for the `deepdetect_cpu` image:
+```
+curl -X GET https://docker.jolibrain.com/v2/deepdetect_cpu/tags/list
+```
+
+---
+
 * [Main features](#main-features)
 * [Machine Learning functionalities per library](#machine-learning-functionalities-per-library)
 * [Installation](https://www.deepdetect.com/quickstart-server/)
@@ -53,14 +71,6 @@ Please join the community on [Gitter](https://gitter.im/beniz/deepdetect), where
 * [References](#references)
 * [Authors](#authors)
 
-| Build type | STABLE | DEVEL |
-|------|--------|-------|
-| SOURCE | <img src="https://img.shields.io/github/v/release/jolibrain/deepdetect?color=success&sort=semver"> | <img src="https://img.shields.io/github/commits-since/jolibrain/deepdetect/latest/master"> |
-| Docker image CPU | [<img src="https://img.shields.io/docker/v/jolibrain/deepdetect_cpu?color=success&sort=semver" />](https://hub.docker.com/r/jolibrain/deepdetect_cpu) | <img src="https://img.shields.io/badge/dynamic/json?color=9cf&label=date&query=%24.tag_last_pushed&url=https%3A%2F%2Fhub.docker.com%2Fv2%2Frepositories%2Fjolibrain%2Fdeepdetect_cpu%2Ftags%2Fci-master"> |
-| Docker image GPU | [<img src="https://img.shields.io/docker/v/jolibrain/deepdetect_gpu?color=success&sort=semver" />](https://hub.docker.com/r/jolibrain/deepdetect_gpu)  | <img src="https://img.shields.io/badge/dynamic/json?color=9cf&label=date&query=%24.tag_last_pushed&url=https%3A%2F%2Fhub.docker.com%2Fv2%2Frepositories%2Fjolibrain%2Fdeepdetect_gpu%2Ftags%2Fci-master">  |
-| Docker image GPU+TORCH | [<img src="https://img.shields.io/docker/v/jolibrain/deepdetect_gpu_torch?color=success&sort=semver" />](https://hub.docker.com/r/jolibrain/deepdetect_gpu_torch) | <img src="https://img.shields.io/badge/dynamic/json?color=9cf&label=date&query=%24.tag_last_pushed&url=https%3A%2F%2Fhub.docker.com%2Fv2%2Frepositories%2Fjolibrain%2Fdeepdetect_gpu_torch%2Ftags%2Fci-master"> |
-| Docker image GPU+TENSORRT | [<img src="https://img.shields.io/docker/v/jolibrain/deepdetect_gpu_tensorrt?color=success&sort=semver" />](https://hub.docker.com/r/jolibrain/deepdetect_gpu_tensorrt) | <img src="https://img.shields.io/badge/dynamic/json?color=9cf&label=date&query=%24.tag_last_pushed&url=https%3A%2F%2Fhub.docker.com%2Fv2%2Frepositories%2Fjolibrain%2Fdeepdetect_gpu_tensorrt%2Ftags%2Fci-master"> |
-
 ## Main features
 
 - high-level API for machine learning and deep learning

ci/build-docker-images.sh

@@ -32,7 +32,7 @@ else
     TMP_TAG="trash"
 fi
 
-image_url_prefix="jolibrain/deepdetect"
+image_url_prefix="docker.jolibrain.com/deepdetect"
 
 for name in $NAMES; do
     target=${TARGETS[$name]}

ci/release.sh

@@ -12,11 +12,11 @@ sed -ne "/^## \[$tag\]/,/^##.*202/p" CHANGELOG.md | sed -e '$d' -e '1d' > note.m
 cat >> note.md <<EOF
 ### Docker images:
 
-* CPU version: \`docker pull jolibrain/deepdetect_cpu:v$tag\`
-* GPU (CUDA only): \`docker pull jolibrain/deepdetect_gpu:v$tag\`
-* GPU (CUDA and Tensorrt) :\`docker pull jolibrain/deepdetect_cpu_tensorrt:v$tag\`
-* GPU with torch backend: \`docker pull jolibrain/deepdetect_gpu_torch:v$tag\`
-* All images available on https://hub.docker.com/u/jolibrain
+* CPU version: \`docker pull docker.jolibrain.com/deepdetect_cpu:v$tag\`
+* GPU (CUDA only): \`docker pull docker.jolibrain.com/deepdetect_gpu:v$tag\`
+* GPU (CUDA and Tensorrt) :\`docker pull docker.jolibrain.com/deepdetect_cpu_tensorrt:v$tag\`
+* GPU with torch backend: \`docker pull docker.jolibrain.com/deepdetect_gpu_torch:v$tag\`
+* All images available from https://docker.jolibrain.com/, list images with `curl -X GET https://docker.jolibrain.com/v2/_catalog`
 EOF
 
 trap "rm -f note.md" EXIT

docs/docker.md

@@ -13,17 +13,17 @@ This allows to run the container and set an image classification model based on
 ## Getting and running official images
 
 ```
-docker pull jolibrain/deepdetect_cpu
+docker pull docker.jolibrain.com/deepdetect_cpu
 ```
 or
 ```
-docker pull jolibrain/deepdetect_gpu
+docker pull docker.jolibrain.com/deepdetect_gpu
 ```
 
 ### Running the CPU image
 
 ```
-docker run -d -p 8080:8080 jolibrain/deepdetect_cpu
+docker run -d -p 8080:8080 docker.jolibrain.com/deepdetect_cpu
 ```
 
 `dede` server is now listening on your port `8080`:
@@ -57,7 +57,7 @@ The following steps are required:
 - install `nvidia-docker`: https://github.com/NVIDIA/nvidia-docker
 - run with
 ```
-nvidia-docker run -d -p 8080:8080 jolibrain/deepdetect_gpu
+nvidia-docker run -d -p 8080:8080 docker.jolibrain.com/deepdetect_gpu
 ```
 
 Notes:
@@ -88,14 +88,14 @@ Example:
 
 - start container and server:
 ```
-> docker run -d -p 8080:8080 jolibrain/deepdetect_cpu
+> docker run -d -p 8080:8080 docker.jolibrain.com/deepdetect_cpu
 ```
 
 - look for container:
 ```
 > docker ps
 CONTAINER ID        IMAGE                  COMMAND                  CREATED              STATUS              PORTS                    NAMES
-d9944734d5d6        jolibrain/deepdetect_cpu   "/bin/sh -c './dede -"   17 seconds ago       Up 16 seconds       0.0.0.0:8080->8080/tcp   loving_shaw
+d9944734d5d6        docker.jolibrain.com/deepdetect_cpu   "/bin/sh -c './dede -"   17 seconds ago       Up 16 seconds       0.0.0.0:8080->8080/tcp   loving_shaw
 ```
 
 - access server logs:
@@ -108,7 +108,7 @@ Running DeepDetect HTTP server on 0.0.0.0:8080
 
 - share a volume with the image:
 ```
-docker run -d -p 8080:8080 -v /path/to/volume:/opt/deepdetect jolibrain/deepdetect_cpu
+docker run -d -p 8080:8080 -v /path/to/volume:/opt/deepdetect docker.jolibrain.com/deepdetect_cpu
 ```
 where `/path/to/volume` is the path to your local volume that you'd like to attach to `/opt/deepdetect`. This is useful for sharing / saving models, etc...
 
@@ -118,7 +118,7 @@ Given a running server on 0.0.0.0:8080, the documentation is served at `http://h
 
 If dede is behind a custom API endpoint, e.g. `hostname:port/api/deepdetect`, swagger links won't work correctly. You can get around this by specifying the api path when you run the docker:
 ```bash
-docker run -d -p 8080:8080 jolibrain/deepdetect_cpu -swagger_api_prefix api/deepdetect/
+docker run -d -p 8080:8080 docker.jolibrain.com/deepdetect_cpu -swagger_api_prefix api/deepdetect/
 ```
 You can now serve DeepDetect on `hostname:port/api/deepdetect/` and expect the links in swagger documentation to work correctly.