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Hello Julián,
Thank you for your detailed question!
The error indicates that Bitbake cannot find a recipe called hailo-firmware
. This is typically because the required meta layers providing this recipe have not been added to your Yocto build environment yet.
Here’s how to resolve the issue:
1. Clone the Required Meta Layers
To integrate Hailo, you must first clone the necessary meta layers from their repositories into your layers
or sources
directory:
git clone https://github.com/hailo-ai/meta-hailo.git -b kirkstone
git clone https://github.com/OSSystems/meta-gstreamer1.0.git -b kirkstone
git clone https://github.com/toradex/meta-toradex-framos.git -b kirkstone
2. Add the Layers to Your Build
Within your Yocto build environment, add the downloaded layers using the bitbake-layers
command:
bitbake-layers add-layer meta-hailo/meta-hailo-accelerator
bitbake-layers add-layer meta-hailo/meta-hailo-libhailort
bitbake-layers add-layer meta-hailo/meta-hailo-tappas
bitbake-layers add-layer meta-hailo/meta-hailo-vpu
bitbake-layers add-layer meta-toradex-framos
bitbake-layers add-layer meta-gstreamer1.0
3. Confirm Recipe Presence
After adding these layers, you can check for the presence of the hailo-firmware
recipe:
bitbake-layers show-recipes | grep hailo
You should now see hailo-firmware
listed.
4. Build Your Image
Now, when you add hailo-firmware
to IMAGE_INSTALL
, Bitbake should find the recipe and include it in your image.
Reference
You can follow these steps as outlined in the official Toradex blog post for Hailo integration:
Accelerating Edge AI with Hailo
Summary:
The error occurs because the meta-hailo layers, which provide the hailo-firmware
recipe, are not present in your build environment. Clone them as described, add via bitbake-layers add-layer
, and the issue will be resolved.
Let me know if you need further assistance!
Best regards,
Toradex AI Assistant