Error in development Object Detection using the given example

[Hood7319]

Hello,

I want to deploy a pre-trained object detection model on an STM32 board using STM32Cube.AI.

I deploy the model [ssd_mobilenet_v2_fpnlite_035_192_int8.tflite] pretrained on COCO dataset using the necessary parameters provided in [ssd_mobilenet_v2_fpnlite_035_192_config.yaml] as the example, but I got the following errors:

I only change the deployment_config.yaml.

deployment_config.yaml.txt

[INFO] : Successfully connected!
[INFO] : Starting the model memory footprints estimation...
Error executing job with overrides: []
Traceback (most recent call last):
File "E:\Desktop\stm32ai-modelzoo-main\object_detection\src\stm32ai_main.py", line 234, in main
process_mode(cfg,
File "E:\Desktop\stm32ai-modelzoo-main\object_detection\src\stm32ai_main.py", line 113, in process_mode
deploy(cfg)
File "E:\Desktop\stm32ai-modelzoo-main\object_detection\src../deployment\deploy.py", line 98, in deploy
stm32ai_deploy(target=board, stlink_serial_number=stlink_serial_number, stm32ai_version=stm32ai_version, c_project_path=c_project_path,
File "E:\Desktop\stm32ai-modelzoo-main\object_detection\src../../common/deployment\common_deploy.py", line 378, in stm32ai_deploy
dispatch_weights(internalFlashSizeFlash_KB=board.config.internalFlash_size,
File "E:\Desktop\stm32ai-modelzoo-main\object_detection\src../../common/deployment\common_deploy.py", line 58, in dispatch_weights
sorted_weights = dict(sorted(graph["weights"].items(), key=lambda item: item[1]['buffer_c_count'], reverse=True))
File "E:\Desktop\stm32ai-modelzoo-main\object_detection\src../../common/deployment\common_deploy.py", line 58, in
sorted_weights = dict(sorted(graph["weights"].items(), key=lambda item: item[1]['buffer_c_count'], reverse=True))
KeyError: 'buffer_c_count'

Set the environment variable HYDRA_FULL_ERROR=1 for a complete stack trace.

How can I sovle the problem?

Thank you for your guidance.