I tried to analyzir sample Keras .h5 model with X Cube Ai in cubeMX and I got the error.
[AI:network] Analyzing model
[AI:network] /home/anhem/STM32Cube/Repository/Packs/STMicroelectronics/X-CUBE-AI/10.0.0/Utilities/linux/stedgeai analyze --target stm32n6 --name network -m /media/anhem/mnt/STM32N6570DK_dev/stm32ai-modelzoo-services-1dc52d8ef939fb7875c6e00e7a6f6311f07c5cb1/stm32ai-modelzoo/object_detection/ssd_mobilenet_v2_fpnlite/ST_pretrainedmodel_public_dataset/coco_2017_person/ssd_mobilenet_v2_fpnlite_035_192/ssd_mobilenet_v2_fpnlite_035_192.h5 --compression none --verbosity 1 --workspace /tmp/mxAI_workspace87065551304011411100299247419582710 --output /home/anhem/.stm32cubemx/network_output
[AI:network] ST Edge AI Core v2.0.0-20049
[AI:network] WARNING: Found a Lambda layer in Keras: conversion may fail.
[AI:network] WARNING: Found a Lambda layer in Keras: conversion may fail.
[AI:network] WARNING: Found a Lambda layer in Keras: conversion may fail.
[AI:network] WARNING: Found a Lambda layer in Keras: conversion may fail.
[AI:network] WARNING: Found a Lambda layer in Keras: conversion may fail.
[AI:network]
[AI:network] NOT IMPLEMENTED: Unsupported layer type: SlicingOpLambda
[AI:network] Analyze fail on the AI model
Did you encounter this issue and what countermeasure for it?
Thank you.
