after commit 8ad093c37b we are detecting
if a model conversion fails.
Currently the mode ssd_mobilenet_v1 fails and cannot be converted by
vela.
This is reported to NXP and will be fixed in next releases.
Meanwhile, for the current version, use a local copy.
Signed-off-by: Isaac Hermida <isaac.hermida@digi.com>
The value of this variable is always the same within a platform, so it doesn't
make sense to have different variables for it in each recipe that requires it.
While at it, it seems like all currently supported platforms in DEY 5.0 use the
same value of "wayland-1", presumably because they all use similar versions of
wayland/weston. Set this as the default value for all platforms for now. As we
support more platforms, we can adjust this value if needed, but if it ends up
being the same for all platforms, we can just hardcode it.
https://onedigi.atlassian.net/browse/DEL-9404
Co-authored-by: Isaac Hermida <isaac.hermida@digi.com>
Signed-off-by: Isaac Hermida <isaac.hermida@digi.com>
Signed-off-by: Gabriel Valcazar <gabriel.valcazar@digi.com>
Back in Yocto 4.0, we backported some ml recipes exclusively for the ccimx93
from meta-imx's rel_imx_6.1.55_2.2.0 tag, but now we simply use what's provided
in the scarthgap-6.6.23-2.0.0 branch of meta-imx. Reflect this in
imx-digi-base.inc.
Remove the recipes for:
* arm-compute-library
* eiq-examples
* ethos-u-driver-stack
* ethos-u-vela
* flatbuffers
* onnxruntime
* tensorflow-lite
https://onedigi.atlassian.net/browse/DEL-9011https://onedigi.atlassian.net/browse/DEL-9081
Signed-off-by: Gabriel Valcazar <gabriel.valcazar@digi.com>
* meta-ml was renamed to meta-imx-ml, and its BBFILE_COLLECTIONS was renamed to
imx-machine-learning
* meta-st-stm32mpu-ai was renamed to meta-st-x-linux-ai
https://onedigi.atlassian.net/browse/DEL-9011
Signed-off-by: Gabriel Valcazar <gabriel.valcazar@digi.com>
Javier Viguera
Isaac Hermida
Gabriel Valcazar