mirror of
https://github.com/immich-app/immich.git
synced 2024-11-20 18:15:52 +02:00
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
This commit is contained in:
Alex
GitHub
parent
75b1ed08b4
commit
619735fea0
6
Makefile
6
Makefile
@ -1,8 +1,8 @@
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dev:
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docker-compose -f ./server/docker-compose.yml up
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docker-compose -f ./docker/docker-compose.yml up
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dev-update:
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docker-compose -f ./server/docker-compose.yml up --build -V
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docker-compose -f ./docker/docker-compose.yml up --build -V
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dev-scale:
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docker-compose -f ./server/docker-compose.yml up --build -V --scale immich_server=3 --remove-orphans
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docker-compose -f ./docker/docker-compose.yml up --build -V --scale immich_server=3 --remove-orphans
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12
README.md
12
README.md
@ -44,13 +44,15 @@ You can use docker compose for development, there are several services that comp
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2. PostgreSQL
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3. Redis
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4. Nginx
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5. TensorFlow and Keras
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## Populate .env file
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Navigate to `server` directory and run
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Navigate to `docker` directory and run
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````
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```
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cp .env.example .env
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```
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Then populate the value in there.
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@ -59,13 +61,13 @@ Pay attention to the key `UPLOAD_LOCATION`, this directory must exist and is own
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To start, run
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```bash
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docker-compose -f ./server/docker-compose.yml up
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````
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docker-compose -f ./docker/docker-compose.yml up
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```
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To force rebuild node modules after installing new packages
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```bash
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docker-compose -f ./server/docker-compose.yml up --build -V
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docker-compose -f ./docker/docker-compose.yml up --build -V
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```
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The server will be running at `http://your-ip:2283` through `Nginx`
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1
docker/.gitignore
vendored
Normal file
1
docker/.gitignore
vendored
Normal file
@ -0,0 +1 @@
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.env
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95
docker/docker-compose.gpu.yml
Normal file
95
docker/docker-compose.gpu.yml
Normal file
@ -0,0 +1,95 @@
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version: "3.8"
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services:
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immich_server:
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image: immich-server-dev:1.0.0
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build:
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context: ../server
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target: development
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dockerfile: ../server/Dockerfile
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command: npm run start:dev
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expose:
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- "3000"
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volumes:
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- ../server:/usr/src/app
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- ${UPLOAD_LOCATION}:/usr/src/app/upload
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- /usr/src/app/node_modules
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env_file:
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- .env
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depends_on:
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- redis
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- database
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networks:
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- immich_network
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redis:
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container_name: immich_redis
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image: redis:6.2
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networks:
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- immich_network
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database:
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container_name: immich_postgres
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image: postgres:14
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env_file:
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- .env
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environment:
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POSTGRES_PASSWORD: ${DB_PASSWORD}
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POSTGRES_USER: ${DB_USERNAME}
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POSTGRES_DB: ${DB_DATABASE_NAME}
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PG_DATA: /var/lib/postgresql/data
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volumes:
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- pgdata:/var/lib/postgresql/data
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ports:
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- 5432:5432
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networks:
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- immich_network
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nginx:
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container_name: proxy_nginx
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image: nginx:latest
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volumes:
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- ./settings/nginx-conf:/etc/nginx/conf.d
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ports:
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- 2283:80
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- 2284:443
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logging:
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driver: none
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networks:
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- immich_network
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depends_on:
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- immich_server
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immich_tf_fastapi:
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container_name: immich_tf_fastapi
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image: tensor_flow_fastapi:1.0.0
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restart: always
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command: uvicorn app.main:app --proxy-headers --host 0.0.0.0 --port 8000 --reload
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build:
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context: ../machine_learning
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target: gpu
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dockerfile: ../machine_learning/Dockerfile
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deploy:
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resources:
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reservations:
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devices:
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- driver: nvidia
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count: 1
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capabilities: [gpu]
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volumes:
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- ../machine_learning/app:/code/app
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- ${UPLOAD_LOCATION}:/code/app/upload
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ports:
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- 2285:8000
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expose:
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- "8000"
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depends_on:
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- database
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networks:
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- immich_network
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networks:
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immich_network:
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volumes:
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pgdata:
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@ -1,18 +1,18 @@
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version: '3.8'
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version: "3.8"
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services:
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immich_server:
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image: immich-server-dev:1.0.0
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build:
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context: .
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context: ../server
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target: development
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dockerfile: ./Dockerfile
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command: npm run start:dev
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expose:
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dockerfile: ../server/Dockerfile
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entrypoint: ["/bin/sh", "./entrypoint.sh"]
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# command: npm run start:dev
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expose:
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- "3000"
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volumes:
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- .:/usr/src/app
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- ../server:/usr/src/app
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- ${UPLOAD_LOCATION}:/usr/src/app/upload
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- /usr/src/app/node_modules
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env_file:
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@ -27,7 +27,7 @@ services:
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container_name: immich_redis
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image: redis:6.2
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networks:
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- immich_network
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- immich_network
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database:
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container_name: immich_postgres
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@ -44,7 +44,7 @@ services:
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ports:
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- 5432:5432
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networks:
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- immich_network
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- immich_network
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nginx:
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container_name: proxy_nginx
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@ -61,7 +61,28 @@ services:
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depends_on:
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- immich_server
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immich_tf_fastapi:
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container_name: immich_tf_fastapi
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image: tensor_flow_fastapi:1.0.0
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restart: always
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command: uvicorn app.main:app --proxy-headers --host 0.0.0.0 --port 8000 --reload
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build:
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context: ../machine_learning
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target: cpu
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dockerfile: ../machine_learning/Dockerfile
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volumes:
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- ../machine_learning/app:/code/app
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- ${UPLOAD_LOCATION}:/code/app/upload
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ports:
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- 2285:8000
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expose:
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- "8000"
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depends_on:
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- database
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networks:
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- immich_network
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networks:
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immich_network:
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volumes:
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pgdata:
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pgdata:
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35
docker/settings/nginx-conf/nginx.conf
Normal file
35
docker/settings/nginx-conf/nginx.conf
Normal file
@ -0,0 +1,35 @@
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map $http_upgrade $connection_upgrade {
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default upgrade;
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'' close;
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}
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# events {
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# worker_connections 1000;
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# }
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server {
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client_max_body_size 50000M;
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listen 80;
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location / {
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proxy_buffering off;
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proxy_buffer_size 16k;
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proxy_busy_buffers_size 24k;
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proxy_buffers 64 4k;
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proxy_force_ranges on;
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proxy_http_version 1.1;
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proxy_set_header Host $host;
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proxy_set_header X-Real-IP $remote_addr;
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proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
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proxy_set_header X-Forwarded-Proto $scheme;
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proxy_set_header Upgrade $http_upgrade;
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proxy_set_header Connection "upgrade";
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proxy_set_header Host $host;
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proxy_pass http://immich_server:3000;
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}
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}
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1
machine_learning/.dockerignore
Normal file
1
machine_learning/.dockerignore
Normal file
@ -0,0 +1 @@
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devenv/
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2
machine_learning/.gitignore
vendored
Normal file
2
machine_learning/.gitignore
vendored
Normal file
@ -0,0 +1,2 @@
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app/__pycache__
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/devenv
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22
machine_learning/Dockerfile
Normal file
22
machine_learning/Dockerfile
Normal file
@ -0,0 +1,22 @@
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## GPU Build
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FROM tensorflow/tensorflow:latest-gpu as gpu
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WORKDIR /code
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COPY ./requirements.txt /code/requirements.txt
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RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt
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COPY ./app /code/app
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## CPU BUILD
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FROM python:3.8 as cpu
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WORKDIR /code
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COPY ./requirements.txt /code/requirements.txt
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RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt
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COPY ./app /code/app
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17
machine_learning/Pipfile
Normal file
17
machine_learning/Pipfile
Normal file
@ -0,0 +1,17 @@
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[[source]]
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url = "https://pypi.python.org/simple"
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verify_ssl = true
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name = "pypi"
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[packages]
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fastapi = "<0.69.0,>=0.68.0"
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pydantic = "<2.0.0,>=1.8.0"
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uvicorn = "<0.16.0,>=0.15.0"
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tensorflow = "~=2.8.0"
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numpy = "==1.22.2"
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pillow = "==9.0.1"
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[dev-packages]
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[requires]
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python_version = "3.8"
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629
machine_learning/Pipfile.lock
generated
Normal file
629
machine_learning/Pipfile.lock
generated
Normal file
@ -0,0 +1,629 @@
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{
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"_meta": {
|
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"hash": {
|
||||
"sha256": "3acf9bcf1b74370cbdac742fee64295572085d1c0d3e4ba38b0fc3ae2c7d846a"
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},
|
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"pipfile-spec": 6,
|
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"requires": {
|
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"python_version": "3.8"
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},
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"sources": [
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{
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"name": "pypi",
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"url": "https://pypi.python.org/simple",
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"verify_ssl": true
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||||
}
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]
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||||
},
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||||
"default": {
|
||||
"absl-py": {
|
||||
"hashes": [
|
||||
"sha256:84e6dcdc69c947d0c13e5457d056bd43cade4c2393dce00d684aedea77ddc2a3",
|
||||
"sha256:ac511215c01ee9ae47b19716599e8ccfa746f2e18de72bdf641b79b22afa27ea"
|
||||
],
|
||||
"version": "==1.0.0"
|
||||
},
|
||||
"asgiref": {
|
||||
"hashes": [
|
||||
"sha256:2f8abc20f7248433085eda803936d98992f1343ddb022065779f37c5da0181d0",
|
||||
"sha256:88d59c13d634dcffe0510be048210188edd79aeccb6a6c9028cdad6f31d730a9"
|
||||
],
|
||||
"version": "==3.5.0"
|
||||
},
|
||||
"astunparse": {
|
||||
"hashes": [
|
||||
"sha256:5ad93a8456f0d084c3456d059fd9a92cce667963232cbf763eac3bc5b7940872",
|
||||
"sha256:c2652417f2c8b5bb325c885ae329bdf3f86424075c4fd1a128674bc6fba4b8e8"
|
||||
],
|
||||
"version": "==1.6.3"
|
||||
},
|
||||
"cachetools": {
|
||||
"hashes": [
|
||||
"sha256:486471dfa8799eb7ec503a8059e263db000cdda20075ce5e48903087f79d5fd6",
|
||||
"sha256:8fecd4203a38af17928be7b90689d8083603073622229ca7077b72d8e5a976e4"
|
||||
],
|
||||
"version": "==5.0.0"
|
||||
},
|
||||
"certifi": {
|
||||
"hashes": [
|
||||
"sha256:78884e7c1d4b00ce3cea67b44566851c4343c120abd683433ce934a68ea58872",
|
||||
"sha256:d62a0163eb4c2344ac042ab2bdf75399a71a2d8c7d47eac2e2ee91b9d6339569"
|
||||
],
|
||||
"version": "==2021.10.8"
|
||||
},
|
||||
"charset-normalizer": {
|
||||
"hashes": [
|
||||
"sha256:2857e29ff0d34db842cd7ca3230549d1a697f96ee6d3fb071cfa6c7393832597",
|
||||
"sha256:6881edbebdb17b39b4eaaa821b438bf6eddffb4468cf344f09f89def34a8b1df"
|
||||
],
|
||||
"markers": "python_version >= '3'",
|
||||
"version": "==2.0.12"
|
||||
},
|
||||
"click": {
|
||||
"hashes": [
|
||||
"sha256:353f466495adaeb40b6b5f592f9f91cb22372351c84caeb068132442a4518ef3",
|
||||
"sha256:410e932b050f5eed773c4cda94de75971c89cdb3155a72a0831139a79e5ecb5b"
|
||||
],
|
||||
"version": "==8.0.3"
|
||||
},
|
||||
"fastapi": {
|
||||
"hashes": [
|
||||
"sha256:36bcdd3dbea87c586061005e4a40b9bd0145afd766655b4e0ec1d8870b32555c",
|
||||
"sha256:38526fc46bda73f7ec92033952677323c16061e70a91d15c95f18b11895da494"
|
||||
],
|
||||
"index": "pypi",
|
||||
"version": "==0.68.2"
|
||||
},
|
||||
"flatbuffers": {
|
||||
"hashes": [
|
||||
"sha256:12158ab0272375eab8db2d663ae97370c33f152b27801fa6024e1d6105fd4dd2",
|
||||
"sha256:3751954f0604580d3219ae49a85fafec9d85eec599c0b96226e1bc0b48e57474"
|
||||
],
|
||||
"version": "==2.0"
|
||||
},
|
||||
"gast": {
|
||||
"hashes": [
|
||||
"sha256:211aac1e58c167b25d3504998f2db694454a24bb1fb1225bce99420166f21d6a",
|
||||
"sha256:cfbea25820e653af9c7d1807f659ce0a0a9c64f2439421a7bba4f0983f532dea"
|
||||
],
|
||||
"version": "==0.5.3"
|
||||
},
|
||||
"google-auth": {
|
||||
"hashes": [
|
||||
"sha256:218ca03d7744ca0c8b6697b6083334be7df49b7bf76a69d555962fd1a7657b5f",
|
||||
"sha256:ad160fc1ea8f19e331a16a14a79f3d643d813a69534ba9611d2c80dc10439dad"
|
||||
],
|
||||
"version": "==2.6.0"
|
||||
},
|
||||
"google-auth-oauthlib": {
|
||||
"hashes": [
|
||||
"sha256:3f2a6e802eebbb6fb736a370fbf3b055edcb6b52878bf2f26330b5e041316c73",
|
||||
"sha256:a90a072f6993f2c327067bf65270046384cda5a8ecb20b94ea9a687f1f233a7a"
|
||||
],
|
||||
"version": "==0.4.6"
|
||||
},
|
||||
"google-pasta": {
|
||||
"hashes": [
|
||||
"sha256:4612951da876b1a10fe3960d7226f0c7682cf901e16ac06e473b267a5afa8954",
|
||||
"sha256:b32482794a366b5366a32c92a9a9201b107821889935a02b3e51f6b432ea84ed",
|
||||
"sha256:c9f2c8dfc8f96d0d5808299920721be30c9eec37f2389f28904f454565c8a16e"
|
||||
],
|
||||
"version": "==0.2.0"
|
||||
},
|
||||
"grpcio": {
|
||||
"hashes": [
|
||||
"sha256:0110310eff07bb69782f53b7a947490268c4645de559034c43c0a635612e250f",
|
||||
"sha256:01f4b887ed703fe82ebe613e1d2dadea517891725e17e7a6134dcd00352bd28c",
|
||||
"sha256:04239e8f71db832c26bbbedb4537b37550a39d77681d748ab4678e58dd6455d6",
|
||||
"sha256:08cf25f2936629db062aeddbb594bd76b3383ab0ede75ef0461a3b0bc3a2c150",
|
||||
"sha256:0aa8285f284338eb68962fe1a830291db06f366ea12f213399b520c062b01f65",
|
||||
"sha256:0e731f660e1e68238f56f4ce11156f02fd06dc58bc7834778d42c0081d4ef5ad",
|
||||
"sha256:0edbfeb6729aa9da33ce7e28fb7703b3754934115454ae45e8cc1db601756fd3",
|
||||
"sha256:124e718faf96fe44c98b05f3f475076be8b5198bb4c52a13208acf88a8548ba9",
|
||||
"sha256:138f57e3445d4a48d9a8a5af1538fdaafaa50a0a3c243f281d8df0edf221dc02",
|
||||
"sha256:17b75f220ee6923338155b4fcef4c38802b9a57bc57d112c9599a13a03e99f8d",
|
||||
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||||
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||||
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||||
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||||
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||||
"sha256:0877fe981fd76b183711d767500e6b3111378ed2043c145e21816ee589d91096",
|
||||
"sha256:0a017a667d1f7411816e4bf214646d0ad5b1da2c1ea13dec6c162736ff25a374",
|
||||
"sha256:0cb23d36ed03bf46b894cfec777eec754146d68429c30431c99ef28482b5c1df",
|
||||
"sha256:1fea9cd438686e6682271d36f3481a9f3636195578bab9ca3382e2f5f01fc185",
|
||||
"sha256:220a869982ea9023e163ba915077816ca439489de6d2c09089b219f4e11b6785",
|
||||
"sha256:25b1b1d5df495d82be1c9d2fad408f7ce5ca8a38085e2da41bb63c914baadff7",
|
||||
"sha256:2dded5496e8f1592ec27079b28b6ad2a1ef0b9296d270f77b8e4a3a796cf6909",
|
||||
"sha256:2ebdde19cd3c8cdf8df3fc165bc7827334bc4e353465048b36f7deeae8ee0918",
|
||||
"sha256:43e69ffe47e3609a6aec0fe723001c60c65305784d964f5007d5b4fb1bc6bf33",
|
||||
"sha256:46f7f3af321a573fc0c3586612db4decb7eb37172af1bc6173d81f5b66c2e068",
|
||||
"sha256:47f0a183743e7f71f29e4e21574ad3fa95676136f45b91afcf83f6a050914829",
|
||||
"sha256:498e6217523111d07cd67e87a791f5e9ee769f9241fcf8a379696e25806965af",
|
||||
"sha256:4b9c458732450ec42578b5642ac53e312092acf8c0bfce140ada5ca1ac556f79",
|
||||
"sha256:51799ca950cfee9396a87f4a1240622ac38973b6df5ef7a41e7f0b98797099ce",
|
||||
"sha256:5601f44a0f38fed36cc07db004f0eedeaadbdcec90e4e90509480e7e6060a5bc",
|
||||
"sha256:5f223101f21cfd41deec8ce3889dc59f88a59b409db028c469c9b20cfeefbe36",
|
||||
"sha256:610f5f83dd1e0ad40254c306f4764fcdc846641f120c3cf424ff57a19d5f7ade",
|
||||
"sha256:6a03d9917aee887690aa3f1747ce634e610f6db6f6b332b35c2dd89412912bca",
|
||||
"sha256:705e2af1f7be4707e49ced9153f8d72131090e52be9278b5dbb1498c749a1e32",
|
||||
"sha256:766b32c762e07e26f50d8a3468e3b4228b3736c805018e4b0ec8cc01ecd88125",
|
||||
"sha256:77416e6b17926d953b5c666a3cb718d5945df63ecf922af0ee576206d7033b5e",
|
||||
"sha256:778fd096ee96890c10ce96187c76b3e99b2da44e08c9e24d5652f356873f6709",
|
||||
"sha256:78dea98c81915bbf510eb6a3c9c24915e4660302937b9ae05a0947164248020f",
|
||||
"sha256:7dd215e4e8514004c8d810a73e342c536547038fb130205ec4bba9f5de35d45b",
|
||||
"sha256:7dde79d007cd6dfa65afe404766057c2409316135cb892be4b1c768e3f3a11cb",
|
||||
"sha256:81bd7c90d28a4b2e1df135bfbd7c23aee3050078ca6441bead44c42483f9ebfb",
|
||||
"sha256:85148f4225287b6a0665eef08a178c15097366d46b210574a658c1ff5b377489",
|
||||
"sha256:865c0b50003616f05858b22174c40ffc27a38e67359fa1495605f96125f76640",
|
||||
"sha256:87883690cae293541e08ba2da22cacaae0a092e0ed56bbba8d018cc486fbafbb",
|
||||
"sha256:8aab36778fa9bba1a8f06a4919556f9f8c7b33102bd71b3ab307bb3fecb21851",
|
||||
"sha256:8c73c1a2ec7c98d7eaded149f6d225a692caa1bd7b2401a14125446e9e90410d",
|
||||
"sha256:936503cb0a6ed28dbfa87e8fcd0a56458822144e9d11a49ccee6d9a8adb2ac44",
|
||||
"sha256:944b180f61f5e36c0634d3202ba8509b986b5fbaf57db3e94df11abee244ba13",
|
||||
"sha256:96b81ae75591a795d8c90edc0bfaab44d3d41ffc1aae4d994c5aa21d9b8e19a2",
|
||||
"sha256:981da26722bebb9247a0601e2922cedf8bb7a600e89c852d063313102de6f2cb",
|
||||
"sha256:ae9de71eb60940e58207f8e71fe113c639da42adb02fb2bcbcaccc1ccecd092b",
|
||||
"sha256:b73d4b78807bd299b38e4598b8e7bd34ed55d480160d2e7fdaabd9931afa65f9",
|
||||
"sha256:d4a5f6146cfa5c7ba0134249665acd322a70d1ea61732723c7d3e8cc0fa80755",
|
||||
"sha256:dd91006848eb55af2159375134d724032a2d1d13bcc6f81cd8d3ed9f2b8e846c",
|
||||
"sha256:e05e60ff3b2b0342153be4d1b597bbcfd8330890056b9619f4ad6b8d5c96a81a",
|
||||
"sha256:e6906d6f48437dfd80464f7d7af1740eadc572b9f7a4301e7dd3d65db285cacf",
|
||||
"sha256:e92d0d4fa68ea0c02d39f1e2f9cb5bc4b4a71e8c442207433d8db47ee79d7aa3",
|
||||
"sha256:e94b7d9deaa4cc7bac9198a58a7240aaf87fe56c6277ee25fa5b3aa1edebd229",
|
||||
"sha256:ea3e746e29d4000cd98d572f3ee2a6050a4f784bb536f4ac1f035987fc1ed83e",
|
||||
"sha256:ec7e20258ecc5174029a0f391e1b948bf2906cd64c198a9b8b281b811cbc04de",
|
||||
"sha256:ec9465dd69d5657b5d2fa6133b3e1e989ae27d29471a672416fd729b429eb554",
|
||||
"sha256:f122ccd12fdc69628786d0c947bdd9cb2733be8f800d88b5a37c57f1f1d73c10",
|
||||
"sha256:f99c0489258086308aad4ae57da9e8ecf9e1f3f30fa35d5e170b4d4896554d80",
|
||||
"sha256:f9c51d9af9abb899bd34ace878fbec8bf357b3194a10c4e8e0a25512826ef056",
|
||||
"sha256:fd76c47f20984b43d93de9a82011bb6e5f8325df6c9ed4d8310029a55fa361ea"
|
||||
],
|
||||
"version": "==1.13.3"
|
||||
},
|
||||
"zipp": {
|
||||
"hashes": [
|
||||
"sha256:9f50f446828eb9d45b267433fd3e9da8d801f614129124863f9c51ebceafb87d",
|
||||
"sha256:b47250dd24f92b7dd6a0a8fc5244da14608f3ca90a5efcd37a3b1642fac9a375"
|
||||
],
|
||||
"version": "==3.7.0"
|
||||
}
|
||||
},
|
||||
"develop": {}
|
||||
}
|
||||
1002
machine_learning/app/imagenet_class_index.json
Normal file
1002
machine_learning/app/imagenet_class_index.json
Normal file
File diff suppressed because it is too large
Load Diff
51
machine_learning/app/main.py
Normal file
51
machine_learning/app/main.py
Normal file
@ -0,0 +1,51 @@
|
||||
from typing import Optional
|
||||
from pydantic import BaseModel
|
||||
import numpy as np
|
||||
from fastapi import FastAPI
|
||||
import tensorflow as tf
|
||||
from tensorflow.keras.applications import InceptionV3
|
||||
from tensorflow.keras.applications.inception_v3 import preprocess_input, decode_predictions
|
||||
from tensorflow.keras.preprocessing import image
|
||||
|
||||
IMG_SIZE = 299
|
||||
PREDICTION_MODEL = InceptionV3(weights='imagenet')
|
||||
|
||||
|
||||
def warm_up():
|
||||
img_path = f'./app/test.png'
|
||||
img = image.load_img(img_path, target_size=(IMG_SIZE, IMG_SIZE))
|
||||
x = image.img_to_array(img)
|
||||
x = np.expand_dims(x, axis=0)
|
||||
x = preprocess_input(x)
|
||||
PREDICTION_MODEL.predict(x)
|
||||
|
||||
|
||||
# Warm up model
|
||||
warm_up()
|
||||
app = FastAPI()
|
||||
|
||||
|
||||
class TagImagePayload(BaseModel):
|
||||
thumbnail_path: str
|
||||
|
||||
|
||||
@app.post("/tagImage")
|
||||
async def post_root(payload: TagImagePayload):
|
||||
imagePath = payload.thumbnail_path
|
||||
|
||||
if imagePath[0] == '.':
|
||||
imagePath = imagePath[2:]
|
||||
|
||||
img_path = f'./app/{imagePath}'
|
||||
img = image.load_img(img_path, target_size=(IMG_SIZE, IMG_SIZE))
|
||||
x = image.img_to_array(img)
|
||||
x = np.expand_dims(x, axis=0)
|
||||
x = preprocess_input(x)
|
||||
|
||||
preds = PREDICTION_MODEL.predict(x)
|
||||
result = decode_predictions(preds, top=3)[0]
|
||||
payload = []
|
||||
for _, value, _ in result:
|
||||
payload.append(value)
|
||||
|
||||
return payload
|
||||
|
Before Width: | Height: | Size: 345 KiB After Width: | Height: | Size: 345 KiB |
6
machine_learning/requirements.txt
Normal file
6
machine_learning/requirements.txt
Normal file
@ -0,0 +1,6 @@
|
||||
fastapi>=0.68.0,<0.69.0
|
||||
pydantic>=1.8.0,<2.0.0
|
||||
uvicorn>=0.15.0,<0.16.0
|
||||
tensorflow==2.8.0
|
||||
numpy==1.22.2
|
||||
pillow==9.0.1
|
||||
@ -1,122 +1,158 @@
|
||||
{
|
||||
"images" : [
|
||||
{
|
||||
"size" : "20x20",
|
||||
"filename" : "immich-logo-1024-20@2x.png",
|
||||
"idiom" : "iphone",
|
||||
"filename" : "Icon-App-20x20@2x.png",
|
||||
"scale" : "2x"
|
||||
"scale" : "2x",
|
||||
"size" : "20x20"
|
||||
},
|
||||
{
|
||||
"size" : "20x20",
|
||||
"filename" : "immich-logo-1024-20@3x.png",
|
||||
"idiom" : "iphone",
|
||||
"filename" : "Icon-App-20x20@3x.png",
|
||||
"scale" : "3x"
|
||||
"scale" : "3x",
|
||||
"size" : "20x20"
|
||||
},
|
||||
{
|
||||
"size" : "29x29",
|
||||
"filename" : "immich-logo-1024-29.png",
|
||||
"idiom" : "iphone",
|
||||
"filename" : "Icon-App-29x29@1x.png",
|
||||
"scale" : "1x"
|
||||
"scale" : "1x",
|
||||
"size" : "29x29"
|
||||
},
|
||||
{
|
||||
"size" : "29x29",
|
||||
"filename" : "immich-logo-1024-29@2x.png",
|
||||
"idiom" : "iphone",
|
||||
"filename" : "Icon-App-29x29@2x.png",
|
||||
"scale" : "2x"
|
||||
"scale" : "2x",
|
||||
"size" : "29x29"
|
||||
},
|
||||
{
|
||||
"size" : "29x29",
|
||||
"filename" : "immich-logo-1024-29@3x.png",
|
||||
"idiom" : "iphone",
|
||||
"filename" : "Icon-App-29x29@3x.png",
|
||||
"scale" : "3x"
|
||||
"scale" : "3x",
|
||||
"size" : "29x29"
|
||||
},
|
||||
{
|
||||
"size" : "40x40",
|
||||
"filename" : "immich-logo-1024-40@2x.png",
|
||||
"idiom" : "iphone",
|
||||
"filename" : "Icon-App-40x40@2x.png",
|
||||
"scale" : "2x"
|
||||
"scale" : "2x",
|
||||
"size" : "40x40"
|
||||
},
|
||||
{
|
||||
"size" : "40x40",
|
||||
"filename" : "immich-logo-1024-40@3x.png",
|
||||
"idiom" : "iphone",
|
||||
"filename" : "Icon-App-40x40@3x.png",
|
||||
"scale" : "3x"
|
||||
"scale" : "3x",
|
||||
"size" : "40x40"
|
||||
},
|
||||
{
|
||||
"size" : "60x60",
|
||||
"filename" : "immich-logo-1024-60@2x.png",
|
||||
"idiom" : "iphone",
|
||||
"filename" : "Icon-App-60x60@2x.png",
|
||||
"scale" : "2x"
|
||||
"scale" : "2x",
|
||||
"size" : "60x60"
|
||||
},
|
||||
{
|
||||
"size" : "60x60",
|
||||
"filename" : "immich-logo-1024-60@3x.png",
|
||||
"idiom" : "iphone",
|
||||
"filename" : "Icon-App-60x60@3x.png",
|
||||
"scale" : "3x"
|
||||
"scale" : "3x",
|
||||
"size" : "60x60"
|
||||
},
|
||||
{
|
||||
"size" : "20x20",
|
||||
"idiom" : "ipad",
|
||||
"filename" : "Icon-App-20x20@1x.png",
|
||||
"scale" : "1x"
|
||||
"idiom" : "ipad",
|
||||
"scale" : "1x",
|
||||
"size" : "20x20"
|
||||
},
|
||||
{
|
||||
"size" : "20x20",
|
||||
"idiom" : "ipad",
|
||||
"filename" : "Icon-App-20x20@2x.png",
|
||||
"scale" : "2x"
|
||||
"idiom" : "ipad",
|
||||
"scale" : "2x",
|
||||
"size" : "20x20"
|
||||
},
|
||||
{
|
||||
"size" : "29x29",
|
||||
"idiom" : "ipad",
|
||||
"filename" : "Icon-App-29x29@1x.png",
|
||||
"scale" : "1x"
|
||||
"idiom" : "ipad",
|
||||
"scale" : "1x",
|
||||
"size" : "29x29"
|
||||
},
|
||||
{
|
||||
"size" : "29x29",
|
||||
"idiom" : "ipad",
|
||||
"filename" : "Icon-App-29x29@2x.png",
|
||||
"scale" : "2x"
|
||||
"idiom" : "ipad",
|
||||
"scale" : "2x",
|
||||
"size" : "29x29"
|
||||
},
|
||||
{
|
||||
"size" : "40x40",
|
||||
"idiom" : "ipad",
|
||||
"filename" : "Icon-App-40x40@1x.png",
|
||||
"scale" : "1x"
|
||||
"idiom" : "ipad",
|
||||
"scale" : "1x",
|
||||
"size" : "40x40"
|
||||
},
|
||||
{
|
||||
"size" : "40x40",
|
||||
"idiom" : "ipad",
|
||||
"filename" : "Icon-App-40x40@2x.png",
|
||||
"scale" : "2x"
|
||||
"idiom" : "ipad",
|
||||
"scale" : "2x",
|
||||
"size" : "40x40"
|
||||
},
|
||||
{
|
||||
"size" : "76x76",
|
||||
"idiom" : "ipad",
|
||||
"filename" : "Icon-App-76x76@1x.png",
|
||||
"scale" : "1x"
|
||||
"idiom" : "ipad",
|
||||
"scale" : "1x",
|
||||
"size" : "76x76"
|
||||
},
|
||||
{
|
||||
"size" : "76x76",
|
||||
"idiom" : "ipad",
|
||||
"filename" : "Icon-App-76x76@2x.png",
|
||||
"scale" : "2x"
|
||||
},
|
||||
{
|
||||
"size" : "83.5x83.5",
|
||||
"idiom" : "ipad",
|
||||
"filename" : "Icon-App-83.5x83.5@2x.png",
|
||||
"scale" : "2x"
|
||||
"scale" : "2x",
|
||||
"size" : "76x76"
|
||||
},
|
||||
{
|
||||
"filename" : "Icon-App-83.5x83.5@2x.png",
|
||||
"idiom" : "ipad",
|
||||
"scale" : "2x",
|
||||
"size" : "83.5x83.5"
|
||||
},
|
||||
{
|
||||
"size" : "1024x1024",
|
||||
"idiom" : "ios-marketing",
|
||||
"filename" : "Icon-App-1024x1024@1x.png",
|
||||
"scale" : "1x"
|
||||
"idiom" : "ios-marketing",
|
||||
"scale" : "1x",
|
||||
"size" : "1024x1024"
|
||||
},
|
||||
{
|
||||
"filename" : "immich-logo-1024-20.png",
|
||||
"idiom" : "universal",
|
||||
"scale" : "1x",
|
||||
"size" : "20x20"
|
||||
},
|
||||
{
|
||||
"filename" : "immich-logo-1024-40.png",
|
||||
"idiom" : "universal",
|
||||
"scale" : "1x",
|
||||
"size" : "40x40"
|
||||
},
|
||||
{
|
||||
"filename" : "immich-logo-1024-76.png",
|
||||
"idiom" : "universal",
|
||||
"scale" : "1x",
|
||||
"size" : "76x76"
|
||||
},
|
||||
{
|
||||
"filename" : "immich-logo-1024-76@2x.png",
|
||||
"idiom" : "universal",
|
||||
"scale" : "2x",
|
||||
"size" : "76x76"
|
||||
},
|
||||
{
|
||||
"filename" : "immich-logo-1024-83.5@2x.png",
|
||||
"idiom" : "universal",
|
||||
"scale" : "2x",
|
||||
"size" : "83.5x83.5"
|
||||
},
|
||||
{
|
||||
"filename" : "immich-logo-1024-1024.png",
|
||||
"idiom" : "universal",
|
||||
"scale" : "1x",
|
||||
"size" : "1024x1024"
|
||||
}
|
||||
],
|
||||
"info" : {
|
||||
"version" : 1,
|
||||
"author" : "xcode"
|
||||
"author" : "xcode",
|
||||
"version" : 1
|
||||
}
|
||||
}
|
||||
|
||||
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|
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|
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|
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|
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|
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|
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|
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|
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|
After Width: | Height: | Size: 5.9 KiB |
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|
After Width: | Height: | Size: 2.8 KiB |
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|
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|
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|
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|
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2
server/entrypoint.sh
Normal file
2
server/entrypoint.sh
Normal file
@ -0,0 +1,2 @@
|
||||
# npm run typeorm migration:run
|
||||
npm run start:dev
|
||||
10598
server/package-lock.json
generated
10598
server/package-lock.json
generated
File diff suppressed because it is too large
Load Diff
@ -18,7 +18,8 @@
|
||||
"test:watch": "jest --watch",
|
||||
"test:cov": "jest --coverage",
|
||||
"test:debug": "node --inspect-brk -r tsconfig-paths/register -r ts-node/register node_modules/.bin/jest --runInBand",
|
||||
"test:e2e": "jest --config ./test/jest-e2e.json"
|
||||
"test:e2e": "jest --config ./test/jest-e2e.json",
|
||||
"typeorm": "node --require ts-node/register ./node_modules/typeorm/cli.js"
|
||||
},
|
||||
"dependencies": {
|
||||
"@nestjs/bull": "^0.4.2",
|
||||
@ -34,6 +35,7 @@
|
||||
"@nestjs/typeorm": "^8.0.3",
|
||||
"@nestjs/websockets": "^8.2.6",
|
||||
"@socket.io/redis-adapter": "^7.1.0",
|
||||
"axios": "^0.26.0",
|
||||
"bcrypt": "^5.0.1",
|
||||
"bull": "^4.4.0",
|
||||
"class-transformer": "^0.5.1",
|
||||
@ -46,10 +48,12 @@
|
||||
"passport": "^0.5.2",
|
||||
"passport-jwt": "^4.0.0",
|
||||
"pg": "^8.7.1",
|
||||
"redis": "^3.1.2",
|
||||
"reflect-metadata": "^0.1.13",
|
||||
"rimraf": "^3.0.2",
|
||||
"rxjs": "^7.2.0",
|
||||
"sharp": "0.28",
|
||||
"socket.io-redis": "^6.1.1",
|
||||
"systeminformation": "^5.11.0",
|
||||
"typeorm": "^0.2.41"
|
||||
},
|
||||
|
||||
@ -1,5 +1,6 @@
|
||||
import { Column, Entity, JoinColumn, OneToOne, PrimaryColumn, PrimaryGeneratedColumn, Unique } from 'typeorm';
|
||||
import { ExifEntity } from './exif.entity';
|
||||
import { SmartInfoEntity } from './smart-info.entity';
|
||||
|
||||
@Entity('assets')
|
||||
@Unique(['deviceAssetId', 'userId', 'deviceId'])
|
||||
@ -42,6 +43,9 @@ export class AssetEntity {
|
||||
|
||||
@OneToOne(() => ExifEntity, (exifEntity) => exifEntity.asset)
|
||||
exifInfo: ExifEntity;
|
||||
|
||||
@OneToOne(() => SmartInfoEntity, (smartInfoEntity) => smartInfoEntity.asset)
|
||||
smartInfo: SmartInfoEntity;
|
||||
}
|
||||
|
||||
export enum AssetType {
|
||||
|
||||
19
server/src/api-v1/asset/entities/smart-info.entity.ts
Normal file
19
server/src/api-v1/asset/entities/smart-info.entity.ts
Normal file
@ -0,0 +1,19 @@
|
||||
import { Column, Entity, Index, JoinColumn, OneToOne, PrimaryGeneratedColumn } from 'typeorm';
|
||||
import { AssetEntity } from './asset.entity';
|
||||
|
||||
@Entity('smart_info')
|
||||
export class SmartInfoEntity {
|
||||
@PrimaryGeneratedColumn()
|
||||
id: string;
|
||||
|
||||
@Index({ unique: true })
|
||||
@Column({ type: 'uuid' })
|
||||
assetId: string;
|
||||
|
||||
@Column({ type: 'text', array: true, nullable: true })
|
||||
tags: string[];
|
||||
|
||||
@OneToOne(() => AssetEntity, { onDelete: 'CASCADE', nullable: true })
|
||||
@JoinColumn({ name: 'assetId', referencedColumnName: 'id' })
|
||||
asset: SmartInfoEntity;
|
||||
}
|
||||
@ -1,12 +1,11 @@
|
||||
import { TypeOrmModuleOptions } from '@nestjs/typeorm';
|
||||
import dotenv from 'dotenv';
|
||||
// import dotenv from 'dotenv';
|
||||
|
||||
const result = dotenv.config();
|
||||
|
||||
if (result.error) {
|
||||
console.log(result.error);
|
||||
}
|
||||
// const result = dotenv.config();
|
||||
|
||||
// if (result.error) {
|
||||
// console.log(result.error);
|
||||
// }
|
||||
export const databaseConfig: TypeOrmModuleOptions = {
|
||||
type: 'postgres',
|
||||
host: 'immich_postgres',
|
||||
@ -15,13 +14,10 @@ export const databaseConfig: TypeOrmModuleOptions = {
|
||||
password: process.env.DB_PASSWORD,
|
||||
database: process.env.DB_DATABASE_NAME,
|
||||
entities: [__dirname + '/../**/*.entity.{js,ts}'],
|
||||
synchronize: true,
|
||||
// logging: true,
|
||||
// logger: 'advanced-console',
|
||||
// ssl: process.env.NODE_ENV == 'production',
|
||||
// extra: {
|
||||
// ssl: {
|
||||
// rejectUnauthorized: false,
|
||||
// },
|
||||
// },
|
||||
synchronize: false,
|
||||
migrations: [__dirname + '/../migration/*.js'],
|
||||
cli: {
|
||||
migrationsDir: __dirname + '/../migration',
|
||||
},
|
||||
migrationsRun: true,
|
||||
};
|
||||
|
||||
@ -1,15 +1,23 @@
|
||||
import { IoAdapter } from '@nestjs/platform-socket.io';
|
||||
import { RedisClient, createClient } from 'redis';
|
||||
import { RedisClient } from 'redis';
|
||||
import { ServerOptions } from 'socket.io';
|
||||
import { createAdapter } from '@socket.io/redis-adapter';
|
||||
import { createAdapter } from 'socket.io-redis';
|
||||
|
||||
// const pubClient = createClient({ url: 'redis://immich_redis:6379' });
|
||||
// const subClient = pubClient.duplicate();
|
||||
|
||||
const pubClient = new RedisClient({
|
||||
port: 6379,
|
||||
host: 'immich_redis',
|
||||
});
|
||||
|
||||
const pubClient = createClient({ url: 'redis://immich_redis:6379' });
|
||||
const subClient = pubClient.duplicate();
|
||||
const redisAdapter = createAdapter({ pubClient, subClient });
|
||||
|
||||
export class RedisIoAdapter extends IoAdapter {
|
||||
createIOServer(port: number, options?: ServerOptions): any {
|
||||
const server = super.createIOServer(port, options);
|
||||
server.adapter(createAdapter(pubClient, subClient));
|
||||
server.adapter(redisAdapter);
|
||||
return server;
|
||||
}
|
||||
}
|
||||
|
||||
22
server/src/migration/1645130759468-CreateUserTable.ts
Normal file
22
server/src/migration/1645130759468-CreateUserTable.ts
Normal file
@ -0,0 +1,22 @@
|
||||
import { MigrationInterface, QueryRunner } from 'typeorm';
|
||||
|
||||
export class CreateUserTable1645130759468 implements MigrationInterface {
|
||||
public async up(queryRunner: QueryRunner): Promise<void> {
|
||||
await queryRunner.query(`
|
||||
create table if not exists users
|
||||
(
|
||||
id uuid default uuid_generate_v4() not null
|
||||
constraint "PK_a3ffb1c0c8416b9fc6f907b7433"
|
||||
primary key,
|
||||
email varchar not null,
|
||||
password varchar not null,
|
||||
salt varchar not null,
|
||||
"createdAt" timestamp default now() not null
|
||||
);
|
||||
`);
|
||||
}
|
||||
|
||||
public async down(queryRunner: QueryRunner): Promise<void> {
|
||||
await queryRunner.query(`drop table users`);
|
||||
}
|
||||
}
|
||||
26
server/src/migration/1645130777674-CreateDeviceInfoTable.ts
Normal file
26
server/src/migration/1645130777674-CreateDeviceInfoTable.ts
Normal file
@ -0,0 +1,26 @@
|
||||
import { MigrationInterface, QueryRunner } from 'typeorm';
|
||||
|
||||
export class CreateDeviceInfoTable1645130777674 implements MigrationInterface {
|
||||
public async up(queryRunner: QueryRunner): Promise<void> {
|
||||
await queryRunner.query(`
|
||||
create table if not exists device_info
|
||||
(
|
||||
id serial
|
||||
constraint "PK_b1c15a80b0a4e5f4eebadbdd92c"
|
||||
primary key,
|
||||
"userId" varchar not null,
|
||||
"deviceId" varchar not null,
|
||||
"deviceType" varchar not null,
|
||||
"notificationToken" varchar,
|
||||
"createdAt" timestamp default now() not null,
|
||||
"isAutoBackup" boolean default false not null,
|
||||
constraint "UQ_ebad78f36b10d15fbea8560e107"
|
||||
unique ("userId", "deviceId")
|
||||
);
|
||||
`);
|
||||
}
|
||||
|
||||
public async down(queryRunner: QueryRunner): Promise<void> {
|
||||
await queryRunner.query(`drop table device_info`);
|
||||
}
|
||||
}
|
||||
31
server/src/migration/1645130805273-CreateAssetsTable.ts
Normal file
31
server/src/migration/1645130805273-CreateAssetsTable.ts
Normal file
@ -0,0 +1,31 @@
|
||||
import { MigrationInterface, QueryRunner } from 'typeorm';
|
||||
|
||||
export class CreateAssetsTable1645130805273 implements MigrationInterface {
|
||||
public async up(queryRunner: QueryRunner): Promise<void> {
|
||||
await queryRunner.query(`
|
||||
create table if not exists assets
|
||||
(
|
||||
id uuid default uuid_generate_v4() not null
|
||||
constraint "PK_da96729a8b113377cfb6a62439c"
|
||||
primary key,
|
||||
"deviceAssetId" varchar not null,
|
||||
"userId" varchar not null,
|
||||
"deviceId" varchar not null,
|
||||
type varchar not null,
|
||||
"originalPath" varchar not null,
|
||||
"resizePath" varchar,
|
||||
"createdAt" varchar not null,
|
||||
"modifiedAt" varchar not null,
|
||||
"isFavorite" boolean default false not null,
|
||||
"mimeType" varchar,
|
||||
duration varchar,
|
||||
constraint "UQ_b599ab0bd9574958acb0b30a90e"
|
||||
unique ("deviceAssetId", "userId", "deviceId")
|
||||
);
|
||||
`);
|
||||
}
|
||||
|
||||
public async down(queryRunner: QueryRunner): Promise<void> {
|
||||
await queryRunner.query(`drop table assets`);
|
||||
}
|
||||
}
|
||||
42
server/src/migration/1645130817965-CreateExifTable.ts
Normal file
42
server/src/migration/1645130817965-CreateExifTable.ts
Normal file
@ -0,0 +1,42 @@
|
||||
import { MigrationInterface, QueryRunner } from 'typeorm';
|
||||
|
||||
export class CreateExifTable1645130817965 implements MigrationInterface {
|
||||
public async up(queryRunner: QueryRunner): Promise<void> {
|
||||
await queryRunner.query(`
|
||||
create table if not exists exif
|
||||
(
|
||||
id serial
|
||||
constraint "PK_28663352d85078ad0046dafafaa"
|
||||
primary key,
|
||||
"assetId" uuid not null
|
||||
constraint "REL_c0117fdbc50b917ef9067740c4"
|
||||
unique
|
||||
constraint "FK_c0117fdbc50b917ef9067740c44"
|
||||
references assets
|
||||
on delete cascade,
|
||||
make varchar,
|
||||
model varchar,
|
||||
"imageName" varchar,
|
||||
"exifImageWidth" integer,
|
||||
"exifImageHeight" integer,
|
||||
"fileSizeInByte" integer,
|
||||
orientation varchar,
|
||||
"dateTimeOriginal" timestamp with time zone,
|
||||
"modifyDate" timestamp with time zone,
|
||||
"lensModel" varchar,
|
||||
"fNumber" double precision,
|
||||
"focalLength" double precision,
|
||||
iso integer,
|
||||
"exposureTime" double precision,
|
||||
latitude double precision,
|
||||
longitude double precision
|
||||
);
|
||||
|
||||
create unique index if not exists "IDX_c0117fdbc50b917ef9067740c4" on exif ("assetId");
|
||||
`);
|
||||
}
|
||||
|
||||
public async down(queryRunner: QueryRunner): Promise<void> {
|
||||
await queryRunner.query(`drop table exif`);
|
||||
}
|
||||
}
|
||||
30
server/src/migration/1645130870184-CreateSmartInfoTable.ts
Normal file
30
server/src/migration/1645130870184-CreateSmartInfoTable.ts
Normal file
@ -0,0 +1,30 @@
|
||||
import { MigrationInterface, QueryRunner } from 'typeorm';
|
||||
|
||||
export class CreateSmartInfoTable1645130870184 implements MigrationInterface {
|
||||
public async up(queryRunner: QueryRunner): Promise<void> {
|
||||
await queryRunner.query(`
|
||||
create table if not exists smart_info
|
||||
(
|
||||
id serial
|
||||
constraint "PK_0beace66440e9713f5c40470e46"
|
||||
primary key,
|
||||
"assetId" uuid not null
|
||||
constraint "UQ_5e3753aadd956110bf3ec0244ac"
|
||||
unique
|
||||
constraint "FK_5e3753aadd956110bf3ec0244ac"
|
||||
references assets
|
||||
on delete cascade,
|
||||
tags text[]
|
||||
);
|
||||
|
||||
create unique index if not exists "IDX_5e3753aadd956110bf3ec0244a"
|
||||
on smart_info ("assetId");
|
||||
`);
|
||||
}
|
||||
|
||||
public async down(queryRunner: QueryRunner): Promise<void> {
|
||||
await queryRunner.query(`
|
||||
drop table smart_info;
|
||||
`);
|
||||
}
|
||||
}
|
||||
@ -3,6 +3,7 @@ import { Module } from '@nestjs/common';
|
||||
import { TypeOrmModule } from '@nestjs/typeorm';
|
||||
import { AssetEntity } from '../../api-v1/asset/entities/asset.entity';
|
||||
import { ExifEntity } from '../../api-v1/asset/entities/exif.entity';
|
||||
import { SmartInfoEntity } from '../../api-v1/asset/entities/smart-info.entity';
|
||||
import { BackgroundTaskProcessor } from './background-task.processor';
|
||||
import { BackgroundTaskService } from './background-task.service';
|
||||
|
||||
@ -16,7 +17,7 @@ import { BackgroundTaskService } from './background-task.service';
|
||||
removeOnFail: false,
|
||||
},
|
||||
}),
|
||||
TypeOrmModule.forFeature([AssetEntity, ExifEntity]),
|
||||
TypeOrmModule.forFeature([AssetEntity, ExifEntity, SmartInfoEntity]),
|
||||
],
|
||||
providers: [BackgroundTaskService, BackgroundTaskProcessor],
|
||||
exports: [BackgroundTaskService],
|
||||
|
||||
@ -9,6 +9,8 @@ import { readFile } from 'fs/promises';
|
||||
import fs from 'fs';
|
||||
import { Logger } from '@nestjs/common';
|
||||
import { ExifEntity } from '../../api-v1/asset/entities/exif.entity';
|
||||
import axios from 'axios';
|
||||
import { SmartInfoEntity } from '../../api-v1/asset/entities/smart-info.entity';
|
||||
|
||||
@Processor('background-task')
|
||||
export class BackgroundTaskProcessor {
|
||||
@ -16,6 +18,9 @@ export class BackgroundTaskProcessor {
|
||||
@InjectRepository(AssetEntity)
|
||||
private assetRepository: Repository<AssetEntity>,
|
||||
|
||||
@InjectRepository(SmartInfoEntity)
|
||||
private smartInfoRepository: Repository<SmartInfoEntity>,
|
||||
|
||||
@InjectRepository(ExifEntity)
|
||||
private exifRepository: Repository<ExifEntity>,
|
||||
|
||||
@ -76,4 +81,18 @@ export class BackgroundTaskProcessor {
|
||||
});
|
||||
});
|
||||
}
|
||||
|
||||
@Process('tag-image')
|
||||
async tagImage(job) {
|
||||
const { thumbnailPath, asset }: { thumbnailPath: string; asset: AssetEntity } = job.data;
|
||||
const res = await axios.post('http://immich_tf_fastapi:8000/tagImage', { thumbnail_path: thumbnailPath });
|
||||
|
||||
if (res.status == 200) {
|
||||
const smartInfo = new SmartInfoEntity();
|
||||
smartInfo.assetId = asset.id;
|
||||
smartInfo.tags = [...res.data];
|
||||
|
||||
this.smartInfoRepository.save(smartInfo);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
@ -32,4 +32,15 @@ export class BackgroundTaskService {
|
||||
{ jobId: randomUUID() },
|
||||
);
|
||||
}
|
||||
|
||||
async tagImage(thumbnailPath: string, asset: AssetEntity) {
|
||||
await this.backgroundTaskQueue.add(
|
||||
'tag-image',
|
||||
{
|
||||
thumbnailPath,
|
||||
asset,
|
||||
},
|
||||
{ jobId: randomUUID() },
|
||||
);
|
||||
}
|
||||
}
|
||||
|
||||
@ -1,20 +1,17 @@
|
||||
import { BullModule } from '@nestjs/bull';
|
||||
import { Module } from '@nestjs/common';
|
||||
import { TypeOrmModule } from '@nestjs/typeorm';
|
||||
import { join } from 'path';
|
||||
import { AssetModule } from '../../api-v1/asset/asset.module';
|
||||
import { AssetService } from '../../api-v1/asset/asset.service';
|
||||
import { AssetEntity } from '../../api-v1/asset/entities/asset.entity';
|
||||
import { CommunicationGateway } from '../../api-v1/communication/communication.gateway';
|
||||
import { CommunicationModule } from '../../api-v1/communication/communication.module';
|
||||
import { UserEntity } from '../../api-v1/user/entities/user.entity';
|
||||
import { ImmichJwtModule } from '../immich-jwt/immich-jwt.module';
|
||||
import { BackgroundTaskModule } from '../background-task/background-task.module';
|
||||
import { BackgroundTaskService } from '../background-task/background-task.service';
|
||||
import { ImageOptimizeProcessor } from './image-optimize.processor';
|
||||
import { AssetOptimizeService } from './image-optimize.service';
|
||||
|
||||
@Module({
|
||||
imports: [
|
||||
CommunicationModule,
|
||||
BackgroundTaskModule,
|
||||
BullModule.registerQueue({
|
||||
name: 'optimize',
|
||||
defaultJobOptions: {
|
||||
@ -23,10 +20,17 @@ import { AssetOptimizeService } from './image-optimize.service';
|
||||
removeOnFail: false,
|
||||
},
|
||||
}),
|
||||
|
||||
BullModule.registerQueue({
|
||||
name: 'background-task',
|
||||
defaultJobOptions: {
|
||||
attempts: 3,
|
||||
removeOnComplete: true,
|
||||
removeOnFail: false,
|
||||
},
|
||||
}),
|
||||
TypeOrmModule.forFeature([AssetEntity]),
|
||||
],
|
||||
providers: [AssetOptimizeService, ImageOptimizeProcessor],
|
||||
providers: [AssetOptimizeService, ImageOptimizeProcessor, BackgroundTaskService],
|
||||
exports: [AssetOptimizeService],
|
||||
})
|
||||
export class ImageOptimizeModule {}
|
||||
|
||||
@ -11,6 +11,7 @@ import { APP_UPLOAD_LOCATION } from '../../constants/upload_location.constant';
|
||||
import { WebSocketServer } from '@nestjs/websockets';
|
||||
import { Socket, Server as SocketIoServer } from 'socket.io';
|
||||
import { CommunicationGateway } from '../../api-v1/communication/communication.gateway';
|
||||
import { BackgroundTaskService } from '../background-task/background-task.service';
|
||||
|
||||
@Processor('optimize')
|
||||
export class ImageOptimizeProcessor {
|
||||
@ -18,6 +19,8 @@ export class ImageOptimizeProcessor {
|
||||
private wsCommunicateionGateway: CommunicationGateway,
|
||||
@InjectRepository(AssetEntity)
|
||||
private assetRepository: Repository<AssetEntity>,
|
||||
|
||||
private backgroundTaskService: BackgroundTaskService,
|
||||
) {}
|
||||
|
||||
@Process('resize-image')
|
||||
@ -58,11 +61,15 @@ export class ImageOptimizeProcessor {
|
||||
}
|
||||
|
||||
const res = await this.assetRepository.update(savedAsset, { resizePath: desitnation });
|
||||
|
||||
if (res.affected) {
|
||||
this.wsCommunicateionGateway.server
|
||||
.to(savedAsset.userId)
|
||||
.emit('on_upload_success', JSON.stringify(savedAsset));
|
||||
}
|
||||
|
||||
// Tag Image
|
||||
this.backgroundTaskService.tagImage(desitnation, savedAsset);
|
||||
});
|
||||
} else {
|
||||
sharp(data)
|
||||
@ -79,6 +86,9 @@ export class ImageOptimizeProcessor {
|
||||
.to(savedAsset.userId)
|
||||
.emit('on_upload_success', JSON.stringify(savedAsset));
|
||||
}
|
||||
|
||||
// Tag Image
|
||||
this.backgroundTaskService.tagImage(resizePath, savedAsset);
|
||||
});
|
||||
}
|
||||
});
|
||||
@ -107,12 +117,18 @@ export class ImageOptimizeProcessor {
|
||||
filename: `${filename}.png`,
|
||||
})
|
||||
.on('end', async (a) => {
|
||||
const thumbnailPath = `${resizeDir}/${filename}.png`;
|
||||
|
||||
const res = await this.assetRepository.update(savedAsset, { resizePath: `${resizeDir}/${filename}.png` });
|
||||
|
||||
if (res.affected) {
|
||||
this.wsCommunicateionGateway.server
|
||||
.to(savedAsset.userId)
|
||||
.emit('on_upload_success', JSON.stringify(savedAsset));
|
||||
}
|
||||
|
||||
// Tag Image
|
||||
this.backgroundTaskService.tagImage(thumbnailPath, savedAsset);
|
||||
});
|
||||
|
||||
return 'ok';
|
||||
|
||||
Loading…
Reference in New Issue
Block a user