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

server/src/migration/1645130817965-CreateExifTable.ts

@@ -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`);
+  }
+}