Implemented image tagging using TensorFlow InceptionV3 (#28)

* Refactor docker-compose to its own folder
* Added FastAPI development environment
* Added support for GPU in docker file
* Added image classification
* creating endpoint for smart Image info
* added logo with white background on ios
* Added endpoint and trigger for image tagging
* Classify image and save into database
* Update readme

docker/.env.example

@@ -0,0 +1,13 @@
+# STAGE
+NODE_ENV=development
+
+# Database
+DB_USERNAME=postgres
+DB_PASSWORD=postgres
+DB_DATABASE_NAME=
+
+# Upload File Config
+UPLOAD_LOCATION=absolute_location_on_your_machine_where_you_want_to_store_the_backup
+
+# JWT SECRET
+JWT_SECRET=

docker/.gitignore

@@ -0,0 +1 @@
+.env

docker/docker-compose.gpu.yml

@@ -0,0 +1,95 @@
+version: "3.8"
+
+services:
+  immich_server:
+    image: immich-server-dev:1.0.0
+    build:
+      context: ../server
+      target: development
+      dockerfile: ../server/Dockerfile
+    command: npm run start:dev
+    expose:
+      - "3000"
+    volumes:
+      - ../server:/usr/src/app
+      - ${UPLOAD_LOCATION}:/usr/src/app/upload
+      - /usr/src/app/node_modules
+    env_file:
+      - .env
+    depends_on:
+      - redis
+      - database
+    networks:
+      - immich_network
+
+  redis:
+    container_name: immich_redis
+    image: redis:6.2
+    networks:
+      - immich_network
+
+  database:
+    container_name: immich_postgres
+    image: postgres:14
+    env_file:
+      - .env
+    environment:
+      POSTGRES_PASSWORD: ${DB_PASSWORD}
+      POSTGRES_USER: ${DB_USERNAME}
+      POSTGRES_DB: ${DB_DATABASE_NAME}
+      PG_DATA: /var/lib/postgresql/data
+    volumes:
+      - pgdata:/var/lib/postgresql/data
+    ports:
+      - 5432:5432
+    networks:
+      - immich_network
+
+  nginx:
+    container_name: proxy_nginx
+    image: nginx:latest
+    volumes:
+      - ./settings/nginx-conf:/etc/nginx/conf.d
+    ports:
+      - 2283:80
+      - 2284:443
+    logging:
+      driver: none
+    networks:
+      - immich_network
+    depends_on:
+      - immich_server
+
+  immich_tf_fastapi:
+    container_name: immich_tf_fastapi
+    image: tensor_flow_fastapi:1.0.0
+    restart: always
+    command: uvicorn app.main:app --proxy-headers --host 0.0.0.0 --port 8000 --reload
+    build:
+      context: ../machine_learning
+      target: gpu
+      dockerfile: ../machine_learning/Dockerfile
+    deploy:
+      resources:
+        reservations:
+          devices:
+            - driver: nvidia
+              count: 1
+              capabilities: [gpu]
+    volumes:
+      - ../machine_learning/app:/code/app
+      - ${UPLOAD_LOCATION}:/code/app/upload
+    ports:
+      - 2285:8000
+    expose:
+      - "8000"
+    depends_on:
+      - database
+    networks:
+      - immich_network
+
+      
+networks:
+  immich_network:
+volumes:
+  pgdata:

docker/docker-compose.yml

@@ -0,0 +1,88 @@
+version: "3.8"
+
+services:
+  immich_server:
+    image: immich-server-dev:1.0.0
+    build:
+      context: ../server
+      target: development
+      dockerfile: ../server/Dockerfile
+    entrypoint: ["/bin/sh", "./entrypoint.sh"]
+    # command: npm run start:dev
+    expose:
+      - "3000"
+    volumes:
+      - ../server:/usr/src/app
+      - ${UPLOAD_LOCATION}:/usr/src/app/upload
+      - /usr/src/app/node_modules
+    env_file:
+      - .env
+    depends_on:
+      - redis
+      - database
+    networks:
+      - immich_network
+
+  redis:
+    container_name: immich_redis
+    image: redis:6.2
+    networks:
+      - immich_network
+
+  database:
+    container_name: immich_postgres
+    image: postgres:14
+    env_file:
+      - .env
+    environment:
+      POSTGRES_PASSWORD: ${DB_PASSWORD}
+      POSTGRES_USER: ${DB_USERNAME}
+      POSTGRES_DB: ${DB_DATABASE_NAME}
+      PG_DATA: /var/lib/postgresql/data
+    volumes:
+      - pgdata:/var/lib/postgresql/data
+    ports:
+      - 5432:5432
+    networks:
+      - immich_network
+
+  nginx:
+    container_name: proxy_nginx
+    image: nginx:latest
+    volumes:
+      - ./settings/nginx-conf:/etc/nginx/conf.d
+    ports:
+      - 2283:80
+      - 2284:443
+    logging:
+      driver: none
+    networks:
+      - immich_network
+    depends_on:
+      - immich_server
+
+  immich_tf_fastapi:
+    container_name: immich_tf_fastapi
+    image: tensor_flow_fastapi:1.0.0
+    restart: always
+    command: uvicorn app.main:app --proxy-headers --host 0.0.0.0 --port 8000 --reload
+    build:
+      context: ../machine_learning
+      target: cpu
+      dockerfile: ../machine_learning/Dockerfile
+    volumes:
+      - ../machine_learning/app:/code/app
+      - ${UPLOAD_LOCATION}:/code/app/upload
+    ports:
+      - 2285:8000
+    expose:
+      - "8000"
+    depends_on:
+      - database
+    networks:
+      - immich_network
+
+networks:
+  immich_network:
+volumes:
+  pgdata:

docker/settings/nginx-conf/nginx.conf

@@ -0,0 +1,35 @@
+
+map $http_upgrade $connection_upgrade {
+  default upgrade;
+  '' close;
+}
+
+# events {
+#   worker_connections 1000;
+# }
+
+server {
+
+  client_max_body_size 50000M;
+
+  listen 80;
+
+  location / {
+    proxy_buffering off;
+    proxy_buffer_size 16k;
+    proxy_busy_buffers_size 24k;
+    proxy_buffers 64 4k;
+    proxy_force_ranges on;
+
+    proxy_http_version 1.1;
+    proxy_set_header Host $host;
+    proxy_set_header X-Real-IP $remote_addr;
+    proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
+    proxy_set_header X-Forwarded-Proto $scheme;
+    proxy_set_header Upgrade $http_upgrade;
+    proxy_set_header Connection "upgrade";
+    proxy_set_header Host $host;
+
+    proxy_pass http://immich_server:3000;
+  }
+}