Skip to content
Merged
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
Original file line number Diff line number Diff line change
Expand Up @@ -2,7 +2,12 @@

==== Prerequisites

These stages require TensorFlow Lite (TFLite) libraries that export the {cpp} API. TFLite doesn't distribute libraries in this form, but you can download and install a version that exports the API from https://lindevs.com/install-precompiled-tensorflow-lite-on-raspberry-pi/[lindevs.com].
These stages require TensorFlow Lite (TFLite) libraries that export the {cpp} API. From Trixie onwards, Raspberry Pi builds and distributes a TFLite package, which can be installed with the following command:
Copy link
Contributor

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

@katshann-raspberry @JeuneseRPi Is "Trixie" okay here, or should we use "Raspberry Pi OS Trixie" ?

Copy link
Contributor

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Also, do we still need to provide the old link for people who might still be using Raspberry Pi OS Bookworm?


[source,console]
----
$ sudo apt install libtensorflow-lite-dev
----

After installing, you must xref:camera_software.adoc#build-libcamera-and-rpicam-apps[recompile `rpicam-apps` with TensorFlow Lite support].

Expand Down