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docs: remove obsolete environment variables (#3926)

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* Obsolete environment variables

* Review fixes

* Review fixes

* Review fixes
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Daniele Ricci 2023-09-01 13:05:45 +02:00 committed by GitHub
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2 changed files with 28 additions and 27 deletions
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28
docs/docs/install/environment-variables.md
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@ -47,20 +47,19 @@ These environment variables are used by the `docker-compose.yml` file and do **N
## Ports
| Variable | Description | Default | Services |
| :---------------------- | :-------------------- | :-----: | :--------------- |
| :---------------------- | :-------------------- | :-------: | :--------------- |
| `PORT` | Web Port | `3000` | web |
| `SERVER_PORT` | Server Port | `3001` | server |
| `MICROSERVICES_PORT` | Microservices Port | `3002` | microservices |
| `MACHINE_LEARNING_HOST` | Machine Learning Host | `0.0.0.0` | machine learning |
| `MACHINE_LEARNING_PORT` | Machine Learning Port | `3003` | machine learning |
## URLs
| Variable | Description | Default | Services |
| :-------------------------------- | :--------------------------- | :-----------------------------------: | :-------------------- |
| :------------------------- | :---------------------- | :-------------------------: | :--------- |
| `IMMICH_WEB_URL` | Immich Web URL | `http://immich-web:3000` | proxy |
| `IMMICH_SERVER_URL` | Immich Server URL | `http://immich-server:3001` | web, proxy |
| `IMMICH_MACHINE_LEARNING_ENABLED` | Enabled machine learning | `true` | server, microservices |
| `IMMICH_MACHINE_LEARNING_URL` | Immich Machine Learning URL, | `http://immich-machine-learning:3003` | server, microservices |
| `PUBLIC_IMMICH_SERVER_URL` | Public Immich URL | `http://immich-server:3001` | web |
| `IMMICH_API_URL_EXTERNAL` | Immich API URL External | `/api` | web |
@ -179,17 +178,20 @@ Typesense URL example JSON before encoding:
## Machine Learning
| Variable | Description | Default | Services |
| :------------------------------------------ | :----------------------------- | :-------------------: | :--------------- |
| `MACHINE_LEARNING_MIN_FACE_SCORE` | Minimum Face Score | `0.7` | machine learning |
| :----------------------------------------------- | :----------------------------------------- | :-----------------: | :--------------- |
| `MACHINE_LEARNING_MODEL_TTL` | Model TTL | `300` | machine learning |
| `MACHINE_LEARNING_EAGER_STARTUP` | Eager Startup | `true` | machine learning |
| `MACHINE_LEARNING_MIN_TAG_SCORE` | Minimum Tag Score | `0.9` | machine learning |
| `MACHINE_LEARNING_FACIAL_RECOGNITION_MODEL` | Facial Recognition Model | `buffalo_l` | machine learning |
| `MACHINE_LEARNING_CLIP_TEXT_MODEL` | Clip Text Model | `clip-ViT-B-32` | machine learning |
| `MACHINE_LEARNING_CLIP_IMAGE_MODEL` | Clip Image Model | `clip-ViT-B-32` | machine learning |
| `MACHINE_LEARNING_CLASSIFICATION_MODEL` | Classification Model | `microsoft/resnet-50` | machine learning |
| `MACHINE_LEARNING_CACHE_FOLDER` | ML Cache Location | `/cache` | machine learning |
| `TRANSFORMERS_CACHE` | ML Transformers Cache Location | `/cache` | machine learning |
| `MACHINE_LEARNING_REQUEST_THREADS`<sup>\*1</sup> | Request thread pool size | number of CPU cores | machine learning |
| `MACHINE_LEARNING_MODEL_INTER_OP_THREADS` | Number of parallel model operations | `1` | machine learning |
| `MACHINE_LEARNING_MODEL_INTRA_OP_THREADS` | Number of threads for each model operation | `2` | machine learning |
\*1: It is recommended to begin with this parameter when changing the concurrency levels of the machine learning service and then tune the other ones.
:::info
Other machine learning parameters can be tuned from the admin UI.
:::
## Docker Secrets

1
machine-learning/app/config.py
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@ -13,7 +13,6 @@ from .schemas import ModelType
class Settings(BaseSettings):
cache_folder: str = "/cache"
eager_startup: bool = False
model_ttl: int = 0
host: str = "0.0.0.0"
port: int = 3003