Always pull model image

.ops/.gitlab-ci.yml

@@ -4,4 +4,4 @@ include:
 
 variables:
   APP_NAME: "xtreme1"
-  APP_VERSION: "0.7.2"
+  APP_VERSION: "0.7.3"

README.md

@@ -1,7 +1,7 @@
 <div align="center">
 <img width="386" alt="Xtreme1 logo" src="https://user-images.githubusercontent.com/84139543/190300943-98da7d5c-bd67-4074-a94f-b7405d29fb90.png">
 
-![](https://img.shields.io/badge/Release-v0.7.2-green) 
+![](https://img.shields.io/badge/Release-v0.7.3-green) 
 ![](https://img.shields.io/badge/License-Apache%202.0-blueviolet)
 [![Slack](https://img.shields.io/badge/Join-Slack-orange.svg?logo=slack)](https://join.slack.com/t/xtreme1group/shared_invite/zt-1jhk36uzr-NpdpYXeQAEHN6rYJy5_6pg)
 [![Twitter](https://img.shields.io/badge/Follow-Twitter-blue)](https://twitter.com/Xtreme1io)
@@ -59,8 +59,8 @@ Image Data Curation (Visualizing & Debug)  - [MobileNetV3](https://github.com/xi
 Download the latest release package and unzip it.
 
 ```bash
-wget https://github.com/xtreme1-io/xtreme1/releases/download/v0.7.2/xtreme1-v0.7.2.zip
-unzip -d xtreme1-v0.7.2 xtreme1-v0.7.2.zip
+wget https://github.com/xtreme1-io/xtreme1/releases/download/v0.7.3/xtreme1-v0.7.3.zip
+unzip -d xtreme1-v0.7.3 xtreme1-v0.7.3.zip
 ```
 
 ## Start all services

backend/Dockerfile

@@ -9,7 +9,7 @@ RUN apt update && \
     apt install -y iputils-ping curl wget netcat python3 python3-pip git
 RUN pip3 install --upgrade --force-reinstall git+https://github.com/xtreme1-io/xtreme1-sdk.git@d0cf4cc
 WORKDIR /app
-COPY --from=build /build/target/xtreme1-backend-0.7.2-SNAPSHOT.jar ./app.jar
+COPY --from=build /build/target/xtreme1-backend-0.7.3-SNAPSHOT.jar ./app.jar
 RUN mkdir -p config
 RUN wget 'https://basicai-asset.s3.us-west-2.amazonaws.com/xtreme1/xtreme1-lidar-fusion-trial.zip' -O xtreme1-lidar-fusion-trial.zip
 RUN wget 'https://basicai-asset.s3.us-west-2.amazonaws.com/xtreme1/xtreme1-image-trial.zip' -O xtreme1-image-trial.zip

backend/README.md

@@ -92,7 +92,7 @@ cd backend
 mvn package
 
 # Using local configuration to start application.
-java -Dspring.profiles.active=local -jar target/xtreme1-backend-0.7.2-SNAPSHOT.jar
+java -Dspring.profiles.active=local -jar target/xtreme1-backend-0.7.3-SNAPSHOT.jar
 ```
 
 Now you can access the backend service at `http://localhost:8080/`.

backend/pom.xml

@@ -13,7 +13,7 @@
 
     <groupId>ai.basic</groupId>
     <artifactId>xtreme1-backend</artifactId>
-    <version>0.7.2-SNAPSHOT</version>
+    <version>0.7.3-SNAPSHOT</version>
     <name>Xtreme1 Backend</name>
     <description></description>
 

docker-compose.yml

@@ -1,4 +1,3 @@
-version: '3.9'
 services:
   nginx:
     image: nginx:1.22
@@ -65,9 +64,9 @@ services:
       retries: 10
   backend:
     # By default, Compose will pull image from Docker Hub when no local image found.
-    image: basicai/xtreme1-backend:v0.7.2
+    image: basicai/xtreme1-backend:v0.7.3
     # Uncomment this line and comment previous line to build image locally, not pull from Docker Hub.
-    # build: ./backend
+    build: ./backend
     ports:
       - 8290:8080
     # volumes:
@@ -95,13 +94,24 @@ services:
         condition: service_healthy
   frontend:
     # By default, Compose will pull image from Docker Hub when no local image found.
-    image: basicai/xtreme1-frontend:v0.7.2
+    image: basicai/xtreme1-frontend:v0.7.3
     # Uncomment this line and comment previous line to build image locally, not pull from Docker Hub.
-    # build: ./frontend
+    build: ./frontend
     ports:
       - 8291:80
+  pcd-tools:
+    image: basicai/xtreme1-pcd-tools
+    pull_policy: always
+    ports:
+      - 8295:5000
+  image-vect-visualization:
+    image: basicai/xtreme1-image-vect-visualization
+    pull_policy: always
+    ports:
+      - 8294:5000
   image-object-detection:
     image: basicai/xtreme1-image-object-detection
+    pull_policy: always
     ports:
       - 8292:5000
     # You need to explicitly specify model profile to start this service.
@@ -110,20 +120,13 @@ services:
     runtime: nvidia
   point-cloud-object-detection:
     image: basicai/xtreme1-point-cloud-object-detection
+    pull_policy: always
     ports:
       - 8293:5000
     # You need to explicitly specify model profile to start this service.
     profiles:
       - model
     runtime: nvidia
-  image-vect-visualization:
-    image: basicai/xtreme1-image-vect-visualization
-    ports:
-      - 8294:5000
-  pcd-tools:
-    image: basicai/xtreme1-pcd-tools
-    ports:
-      - 8295:5000
 volumes:
   mysql-data:
   redis-data: