Backupppert/immich
1
1
Fork 0
mirror of https://github.com/immich-app/immich.git synced 2025-07-03 21:40:00 +02:00
Code Issues Projects Releases Packages Wiki Activity Actions5

Support HEIC/HEIF ()

Browse source 
* Support HEIC/HEIF backup
* Storing backup directly from original file from the phone
* Directly read and backup video file - Improve performance on video backup
This commit is contained in:
Alex 2022-02-09 20:48:06 -06:00 • committed by GitHub
parent f578ca6d47
commit 38c968d47e
No known key found for this signature in database
GPG key ID: 4AEE18F83AFDEB23
15 changed files with 252 additions and 232 deletions
server/src/modules/image-optimize
image-optimize.processor.ts

56
server/src/modules/image-optimize/image-optimize.processor.ts
View file

@ -4,16 +4,16 @@ import { Job, Queue } from 'bull';
import { Repository } from 'typeorm';
import { AssetEntity } from '../../api-v1/asset/entities/asset.entity';
import sharp from 'sharp';
import fs, { existsSync, mkdirSync } from 'fs';
import { existsSync, mkdirSync, readFile } from 'fs';
import { ConfigService } from '@nestjs/config';
import ffmpeg from 'fluent-ffmpeg';
import { Logger } from '@nestjs/common';
@Processor('optimize')
export class ImageOptimizeProcessor {
constructor(
@InjectRepository(AssetEntity) private assetRepository: Repository<AssetEntity>,
@InjectQueue('machine-learning') private machineLearningQueue: Queue,
@InjectRepository(AssetEntity)
private assetRepository: Repository<AssetEntity>,
private configService: ConfigService,
) {}
@ -32,30 +32,42 @@ export class ImageOptimizeProcessor {
mkdirSync(resizeDir, { recursive: true });
}
fs.readFile(savedAsset.originalPath, (err, data) => {
readFile(savedAsset.originalPath, async (err, data) => {
if (err) {
console.error('Error Reading File');
}
sharp(data)
.resize(512, 512, { fit: 'outside' })
.toFile(resizePath, async (err, info) => {
if (err) {
console.error('Error resizing file ', err);
return;
}
if (savedAsset.mimeType == 'image/heic' || savedAsset.mimeType == 'image/heif') {
let desitnation = '';
if (savedAsset.mimeType == 'image/heic') {
desitnation = resizePath.replace('.HEIC', '.jpeg');
} else {
desitnation = resizePath.replace('.HEIF', '.jpeg');
}
await this.assetRepository.update(savedAsset, { resizePath: resizePath });
sharp(data)
.toFormat('jpeg')
.resize(512, 512, { fit: 'outside' })
.toFile(desitnation, async (err, info) => {
if (err) {
console.error('Error resizing file ', err);
return;
}
// Send file to object detection after resizing
// const detectionJob = await this.machineLearningQueue.add(
// 'object-detection',
// {
// resizePath,
// },
// { jobId: randomUUID() },
// );
});
await this.assetRepository.update(savedAsset, { resizePath: desitnation });
});
} else {
sharp(data)
.resize(512, 512, { fit: 'outside' })
.toFile(resizePath, async (err, info) => {
if (err) {
console.error('Error resizing file ', err);
return;
}
await this.assetRepository.update(savedAsset, { resizePath: resizePath });
});
}
});
return 'ok';