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Implemented image tagging using TensorFlow InceptionV3 (#28)

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* 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
2022-02-19 22:42:10 -06:00
committed by GitHub
parent 75b1ed08b4
commit 619735fea0
54 changed files with 2297 additions and 10672 deletions
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16
server/src/middlewares/redis-io.adapter.middleware.ts
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@@ -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;
}
}