Files
immich/server/src/migration/1645130817965-CreateExifTable.ts
Alex 619735fea0 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
2022-02-19 22:42:10 -06:00

43 lines
1.6 KiB
TypeScript

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`);
}
}