i.MX Repo Manifest README

This repo is used to download manifests for i.MX BSP releases.

Specific instructions reside in READMEs in each branch.

The branch name is based on the release type, Linux or Android, and the Yocto Project release name, with manifests in each branch tied to the base BSP release.

For example, for i.MX Linux BSP releases based on Yocto Project Nanbield, the branch is imx-linux-nanbield.

Install the repo utility:

To use this manifest repo, the repo tool must be installed first.

$: mkdir ~/bin
$: curl http://commondatastorage.googleapis.com/git-repo-downloads/repo  > ~/bin/repo
$: chmod a+x ~/bin/repo
$: PATH=${PATH}:~/bin

Download the Yocto Project BSP

$: mkdir <release>
$: cd <release>
$: repo init -u https://github.com/nxp-imx/imx-manifest -b <branch name> [ -m <release manifest>]
$: repo sync

Each branch has detailed READMEs describing exact syntax.

Examples

To download the 6.6.3-1.0.0 release

$: repo init -u https://github.com/nxp-imx/imx-manifest -b imx-linux-nanbield -m imx-6.6.3-1.0.0.xml

Setup the build folder for a BSP release:

Note: The remaining instructions are for setting up a BSP release only. For setting up a demo, please see imx-manifest/README-<demo> for further instructions.

$: [MACHINE=<machine>] [DISTRO=fsl-imx-<backend>] source ./imx-setup-release.sh -b bld-<backend>

<machine>   defaults to `imx6qsabresd`
<backend>   Graphics backend type
    xwayland    Wayland with X11 support - default distro
    wayland     Wayland
    fb          Framebuffer (not supported for mx8)

Note: If the poky community distro is used, then build breaks will happen with some components using our meta-imx layer.

Examples:

• Setup for XWayland.

$: MACHINE=imx8mnevk DISTRO=fsl-imx-xwayland source ./imx-setup-release.sh -b bld-xwayland

Build an image:

$: bitbake <image recipe>

Some image recipes:

Image Name	Description
imx-image-core	core image with basic graphics and no multimedia
imx-image-multimedia	image with multimedia and graphics
imx-image-full	image with multimedia and machine learning and Qt