Files
mule-image/README.md
dtoro a4f64fad58 docs: update README for vision pipeline and Postgres stack
Reflect current state: Postgres+pgvector replaces SQLite, vision
pipeline (YOLO, CLIP, InsightFace, OCR) is shipped, card-grid browse
views for tags/colors/ratings/people, map view, duplicate detection,
and semantic search are all live. Remove completed items from future
features.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-10 15:50:28 +02:00

230 lines
8.1 KiB
Markdown

# Mulita - Self-Hosted Photo Management Application
A self-hosted, Docker-deployed photo management application inspired by Lightroom's workflow. Mulita provides a fast, keyboard-driven interface to browse, organize, tag, and manage your photo library.
## Features
- **Photo Organization**: Browse photos in a timeline view with virtual scrolling for performance
- **Thumbnail Generation**: Automatic thumbnail generation for all photo formats including RAW
- **Metadata Extraction**: Full EXIF/XMP metadata extraction and GPS mapping
- **Keyboard Shortcuts**: Lightroom-style keyboard navigation and actions
- **File Support**: JPEG, PNG, RAW formats (CR2, CR3, NEF, ARW, etc.), HEIC/HEIF, and videos
- **Heaps**: Temporary collections for organizing photos
- **Tags & Ratings**: Organize with tags, star ratings, and color labels — each with a card-grid browse view that drills into a full Timeline detail
- **Dark Mode**: Photography-optimized dark interface
- **Vision Pipeline**: YOLO object detection, OCR text extraction, CLIP embeddings for semantic search, InsightFace face detection and clustering
- **People View**: Browse identified people as cards, click to see all photos of a person
- **Map View**: Browse GPS-tagged photos on an interactive Leaflet map
- **Duplicate Detection**: Perceptual hash-based duplicate grouping with best-pick UI
- **Semantic Search**: Natural-language photo search powered by CLIP embeddings
## Tech Stack
### Backend
- Python 3.12 with FastAPI
- PostgreSQL + pgvector with SQLAlchemy (async) and Alembic migrations
- Celery + Redis for background tasks
- pyvips for fast thumbnail generation
- ExifTool for metadata extraction
- ONNX Runtime for vision models (YOLO, CLIP, InsightFace)
### Frontend
- React 18 with TypeScript
- Vite for fast development
- TanStack Query for data fetching
- TanStack Virtual for virtualized scrolling
- Tailwind CSS for styling
- Zustand for state management
## Quick Start
### Prerequisites
- Docker and Docker Compose
### Setup (one variable)
1. Clone the repo:
```bash
git clone <repository-url>
cd muleimage
```
2. Copy the example env file and set **one** variable — the **host**
directory that contains your photo library. Whatever you point at
will become your library inside Mulita.
```bash
cp .env.example .env
# then edit .env and set PHOTO_DIRS:
# macOS / Linux: PHOTO_DIRS=/Users/you/Pictures
# Network share: PHOTO_DIRS=/mnt/nas/photos
# Windows (WSL): PHOTO_DIRS=/mnt/c/Users/you/Pictures
```
3. Start the stack:
```bash
docker compose up -d
```
4. Open `http://localhost:3000`. On first boot Mulita will:
- Mount your `PHOTO_DIRS` at `/photos` inside the container
- Auto-create a source root called **Library** pointing at `/photos`
- Queue an initial scan, generate thumbnails, and start serving them
You don't need to touch `mulita.yml` or the API to get started.
### Configuration knobs
Everything is environment-driven. `PHOTO_DIRS` is the only required
value; the rest have sensible defaults documented in `.env.example`:
| Variable | Default | Notes |
|----------------------|---------|----------------------------------------------------|
| `PHOTO_DIRS` | — | **Required.** Host path mounted at `/photos`. |
| `FRONTEND_PORT` | `3000` | SPA host port. Bump if `3000` is taken. |
| `BACKEND_PORT` | `8001` | Direct backend port (debug only — frontend uses internal nginx proxy). |
| `REDIS_PORT` | `6379` | Redis host port (internal services don't need it). |
| `ALLOWED_ORIGINS` | `*` | Comma-separated CORS origins for direct backend access. Lock down for prod, e.g. `https://photos.example.com`. |
| `LOG_LEVEL` | `INFO` | Backend + worker log level. `DEBUG` for chasing scan issues. |
| `TZ` | `UTC` | Container timezone. Affects log timestamps and "added at". |
| `CELERYD_CONCURRENCY`| `4` | Parallel worker processes (scans, thumbs, metadata). Lower on a Pi, higher on a beefy host. |
### Accessing from another machine
The frontend talks to the backend through its bundled nginx, which
proxies `/api/` to the backend on the internal compose network. That
means requests are always **same-origin** as the page, so accessing
Mulita from another host works without any CORS dance:
```
http://<your-server-ip>:3000
```
If you want to put it behind a reverse proxy at e.g.
`https://photos.your.tld`, set `ALLOWED_ORIGINS` to that host so the
backend's direct port (`BACKEND_PORT`) also accepts cross-origin
requests if anything bypasses the proxy.
### How libraries are managed
Mulita is **config-driven**: the host directory you mount via
`PHOTO_DIRS` becomes your library, and the backend automatically
registers it as a source root on startup. There is no UI for adding
or removing source roots — to change what Mulita scans, edit `.env`
(or `docker-compose.yml` for multi-mount setups) and restart the
stack.
This keeps the model simple: **the docker mount IS the library**.
No two layers, no confusion about which view to use.
### Changing or adding libraries
To point at a different library:
1. Edit `PHOTO_DIRS` in `.env`
2. `docker compose down`
3. (Optional, for a clean slate) `docker volume rm muleimage_db_data muleimage_thumbs_data muleimage_proxies_data`
4. `docker compose up -d`
The new library shows up automatically. Without step 3 the old
library's metadata stays in the DB and you'll see a warning at
startup that the old source root's path is missing on disk —
that's a hint to clean up.
For multiple libraries, edit `docker-compose.yml` and add additional
mount lines:
```yaml
volumes:
- ${PHOTO_DIRS}:/photos:rw
- /Volumes/Archive:/archive:rw # additional library
```
Each mounted directory will need a corresponding source root row in
the DB; today that means `POST /api/v1/folders` via curl, or wait
for the multi-mount auto-registration that's on the roadmap.
### Read-only libraries
The default mount is `:rw` because file operations (rename, move,
empty discard pile) need to mutate the filesystem. If you want a
strict read-only library — pointing at a network share, an
authoritative archive, etc. — flip `:rw` to `:ro` in
`docker-compose.yml`. Mulita will keep working for browsing, rating,
color labels, picks, heaps, and the (soft) discard flag, but the
following will return an OS error:
- `PATCH /photos/{id}` with a new `filename` (rename)
- `POST /photos/move` (bulk move)
- `DELETE /discard/empty` (file unlinks)
**Heads up**: with `:rw`, Mulita has full write access to whatever
host directory you mount. Treat the same way you would Lightroom's
catalog folder.
## Architecture
The application consists of 5 Docker services:
- **frontend**: React SPA served by Nginx
- **backend**: FastAPI REST API
- **worker**: Celery workers for background tasks (thumbnails, metadata, vision pipeline)
- **redis**: Message broker for Celery
- **db**: PostgreSQL with pgvector extension (for CLIP/face embeddings)
## Keyboard Shortcuts
| Key | Action |
|-----|--------|
| `` `` `` `` | Navigate photos |
| `Space` | Quick preview |
| `Enter` | Open loupe view |
| `T` | Add to active heap |
| `1-5` | Set star rating |
| `Tab` | Toggle left sidebar |
| `I` | Toggle metadata panel |
| `G` | Grid view |
| `E` | Loupe view |
| `Delete` | Move to trash |
## Development
### Backend Development
```bash
cd backend
pip install -r requirements.txt
uvicorn app.main:app --reload
```
### Frontend Development
```bash
cd frontend
npm install
npm run dev
```
## Configuration
Source roots are managed by the UI / API (the database owns them). Edit
`mulita.yml` to configure operational settings only:
- Thumbnail sizes, quality, and format
- Scanner behaviour (watch, batch size, initial scan)
- Performance tuning (concurrency, cache TTLs, DB pool)
## Performance
- Handles 100,000+ photos efficiently
- Virtual scrolling for smooth timeline navigation
- Thumbnail generation at 10+ photos/second
- PostgreSQL full-text search with tsvector indexing
- pgvector for fast nearest-neighbor embedding search
## Future Features
- Smart albums (auto-populated by saved filters)
- Export presets
- Multi-user support
## License
MIT