62 lines
4.3 KiB
Markdown
62 lines
4.3 KiB
Markdown
# Memories
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**📷 Yet another photo management app for Nextcloud**
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## How is this different?
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* **📸 Photo and Video Timeline**: Sorts photos by date taken, parsed from Exif data.
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* **🤔 Quick Recap**: Jump to anywhere in the timeline instantly.
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* **🖼️ Folders**: Browse your and shared folders with a similar, efficient timeline.
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* **🎦 Slideshow**: View photos from your timeline and folders easily.
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* **📱 Mobile Support**: Relive your memories on devices of any shape and size through the web app.
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* **🗑️ Recycle**: Select and delete multiple photos and videos at once.
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* **✏️ Edit Metadata**: Edit Exif dates on photos quickly and easily.
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* **📦 Archive**: Store photos you don't want to see in your timeline in a separate folder.
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* **⚡️ Fast**: Memories is extremely fast. Period. More details below.
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## 🚀 Installation
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1. Install the app from the Nextcloud app store
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1. ⚒️ Install `exiftool` (see below).
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1. Run `php ./occ memories:index` to generate metadata indices for existing photos.
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1. Open the 📷 Memories app in Nextcloud and set the directory containing your photos. Photos from this directory will be displayed in the timeline, including any photos in nested subdirectories.
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1. Installing the [preview generator](https://github.com/rullzer/previewgenerator) for pre-generating thumbnails is strongly recommended.
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## 🔨 Installing Dependencies
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The exact steps depend on your Nextcloud platform. If you use Docker for your Nextcloud instance, you can install Exiftool by using a custom docker image.
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- **Ubuntu/Debian**: `sudo apt install libimage-exiftool-perl`
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- **Fedora**: `sudo dnf install perl-Image-ExifTool`
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- **Arch Linux**: `sudo pacman -S perl-image-exiftool`
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- **Alpine**: `apk add --no-cache exiftool`
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- **MacOS**: `brew install exiftool`
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- **FreeBSD**: `sudo pkg install p5-Image-ExifTool`
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## 🏗 Development setup
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1. ☁ Clone this into your `apps` folder of your Nextcloud.
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1. 👩💻 In a terminal, run the command `make dev-setup` to install the dependencies.
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1. 🏗 Then to build the Javascript whenever you make changes, run `make build-js`. To create a pull request use `make build-js-production`. Watch changes with: `make watch-js`.
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1. ✅ Enable the app through the app management of your Nextcloud.
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1. 🎉 Partytime!
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## 🤔 Why a separate app?
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The approach of this app is fundamentally different from the official Nextcloud Photos app, which is very lightweight and works entirely using webdav. This app instead maintains special metadata in a separate table on the backend, and thus can be considered to have different objectives.
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## ⚡ Performance
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- Once properly configured, Memories is **extremely fast**, possibly one of the fastest web photo viewers.
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- On a server with relatively cheap hardware (`Intel Pentium G6400 / 8GB RAM / SSD`), loading the timeline takes only `~400ms` without cache on a laptop (`Intel Core i5-1035G1 / Windows 11 / Chrome`) for a library of `~17000 photos` totaling `100GB`. The test was performed on Nextcloud 24 with `nginx`, `php-fpm` and `mariadb` running in Docker.
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- For best performance, install the [preview generator](https://github.com/rullzer/previewgenerator) and make sure HTTP/2 is enabled for your Nextcloud instance.
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## 📝 Notes
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- You may need to configure the Nextcloud preview generator and Imagemagick / ffmpeg to support all types of images and videos (e.g. HEIC). If using the official docker image, add `OC\Preview\HEIC` to `enabledPreviewProviders` in your `config.php`.
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- If local time is not found in the photo (especially for videos), the server timezone is used.
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- All photos in the timeline _must_ be on a single storage. For example, you cannot have a mounted directory inside your photos directory.
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- The app can work with external storage for photos. Just set the mountpoint as the timeline directory.
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- If you add any photos from outside Nextcloud, you must run the scan and index commands.
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- Indexing may be slow, since all files must be downloaded from the storage. The app currently assumes that the Exif data is present with the first 20MB of each file.
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- This function is experimental and may not work as expected. Please report any issues.
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## Special Thanks
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Nextcloud team. At least one half of the code is based on the work of the [Nextcloud Photos](https://github.com/nextcloud/photos). |