porting yolov11 model to stm32mp257.(Segmentation fault (core dumped))

[fanronghua0123456]

this is issue when i porting yolov11 to stm32mp257.

    # Reading input image
    input_width = input_tensor_shape[1]
    print(input_width)
    input_height = input_tensor_shape[2]
    print(input_height)
    input_image = Image.open(args.image).resize((input_width,input_height))
    input_data = np.expand_dims(input_image, axis=0)
    if input_tensor_dtype == np.float32:
        input_data = (np.float32(input_data) - args.input_mean) /args.input_std
    print("----1")
    img_array_after = np.array(input_data)
    print("Dtype after resize: ", img_array_after.dtype)
    print("Shape after resize: ", img_array_after.shape)
    print("----1test")
    if input_tensor_dtype == np.float32:
         print("float32")
    if input_tensor_dtype == np.float16:
         print("float16")
         input_data = (np.float16(input_data) - args.input_mean) /args.input_std
    print("----2test")
    stai_model.set_input(0, input_data)
    print("----2")
    start = timer()
    stai_model.run()
    end = timer()

attach is my python files and model.

root@ATK-DLMP257:/opt/ui/src/apps/resource/x-linux-ai/object-detection# python3 testpy.py -m /home/root/best_integer_quant.nb -i /home/root/hander1_1.jpg -l /home
/root/best.txt
Loading dynamically: /usr/lib/libstai_mpu_ovx.so.6
[OVX]: Loading nbg model
**Input node: 0 -Input_name: -Input_dims:4 - input_type:float16 -Input_shape:(1, 640, 640, 3)
**Output node: 0 -Output_name: -Output_dims:3 -  Output_type:float16 -Output_shape:(1, 11, 8400)
640
640
----1
Dtype after resize:  uint8
Shape after resize:  (1, 640, 640, 3)
----1test
float16
----2test
Segmentation fault (core dumped)
root@ATK-DLMP257:/opt/ui/src/apps/resource/x-linux-ai/object-detection#

thanks