forked from immich-app/immich
-
Notifications
You must be signed in to change notification settings - Fork 0
Commit
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
- Loading branch information
Showing
2 changed files
with
45 additions
and
1 deletion.
There are no files selected for viewing
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -0,0 +1,45 @@ | ||
# System Settings | ||
|
||
The System Settings page is the page that is visible only to the server administrator, through the page you can manage the global settings that will affect all users. | ||
|
||
## Job Settings | ||
|
||
Using these settings, you can determine the amount of work that will run concurrently for each individual task in microservices. Some tasks can be set to higher values on computers with powerful hardware and storage with good I/O capabilities. | ||
|
||
With higher concurrency, the host will work on more assets in parallel, | ||
this advice improves throughput, not latency, for example it will make Smart Search jobs process more quickly, but it won't make searching faster. | ||
|
||
It is important to remember that jobs like Smart Search, Face Detection, Facial Recognition, Transcode Videos require a **lot** of processing power and therefore do not exaggerate with the amount of jobs because you're probably thoroughly overloading the server. | ||
|
||
:::info Facial Recognition Concurrency | ||
The Facial Recognition Concurrency value cannot be changed because | ||
[DBSCAN](https://www.youtube.com/watch?v=RDZUdRSDOok) is traditionally sequential, but there are parallel implementations of it out there. Our implementation isn't parallel. | ||
::: | ||
|
||
## External Library | ||
|
||
To add #################################################################################################################################################################################################################################################################################################################################################################################################################################################################################################################################################################################################################### | ||
|
||
## Logging | ||
|
||
By default logs are set to record at the log level, the network administrator can choose a deeper or lower level of logs according to his decision or according to the needs required by the Immich support team. | ||
|
||
Here you can [learn about the different error levels](https://sematext.com/blog/logging-levels/). | ||
|
||
## Machine Learning Settings | ||
|
||
Through this setting, you can manage all the settings related to machine learning in Immich, from the setting of remote machine learning to the model model and its parameters | ||
You can choose to disable a certain type of machine learning, for example smart search or facial recognition. | ||
|
||
### Smart Search | ||
|
||
The smart search settings are designed to allow the search tool to be used using [CLIP](https://openai.com/research/clip) models that [can be changed](/docs/FAQ#can-i-use-a-custom-clip-model), different models will necessarily give better results but may consume more processing power, when changing a model it is mandatory to re-run the | ||
Smart Search job on all images in order to fully apply the change. | ||
|
||
:::info Internet connection | ||
Changing models requires a connection to the Internet in order to download the model. | ||
After downloading, there is no need for Immich to connect to the network | ||
Unless version checking has been enabled in the settings. | ||
::: | ||
|
||
### Facial Recognition |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters