Data validation failed

[YMand.6]

Following is my data , I am trying to validate on option of 'validate on desktop'. I am getting following error

Loading: /home/censdata/workspace/har/har_ai/har_ai.ioc project

Initializing: STM32F429ZITx

 [AI:network] Analyzing model

 [AI:Generator] Command /home/censdata/STM32Cube/Repository/Packs/STMicroelectronics/X-CUBE-AI/3.4.0/Utilities/linux/generatecode --auto -c /tmp/mxAI227727002133516706206695419651859/config.ai

 [AI:Generator] Python generation ended

 [AI:network] Analyze and code generation complete on AI model

 [AI:network] Starting AI validation on desktop with custom dataset : /home/censdata/stm_ai/HAR-CNN-Keras-master/data_compressed/data_3_Axis.txt...

 [AI:Validator] Command /home/censdata/STM32Cube/Repository/Packs/STMicroelectronics/X-CUBE-AI/3.4.0/Utilities/linux/validate - -p /home/censdata/stm_ai/HAR-CNN-Keras-master/model.h5 -t keras_dump --compress 4 -i /home/censdata/stm_ai/HAR-CNN-Keras-master/data_compressed/data_3_Axis.txt

Matching results...

 [AI:Validator] ValueError: cannot reshape array of size 5242880 into shape (1048576,90,3,1)

I am using keras model

[jean-michel.d]

Hi,

Thanks for the provided files. In your case the provided txt is not correctly formatted. As indicated in the UM (section14.2). The expected file (.csv or .txt extension) should be a simple txt file with one input tensor by line (flattened input tensor) and the comma is used as separator (There is not check in the CUBE-AI). With your file, numpy.genfromtxt() returns:

shape =  (1048576, 5)

[[-0.6946377 12.680544  0.50395286     nan     nan]

 [ 5.012288  11.264028  0.95342433     nan     nan]

 [ 4.903325  10.882658  -0.08172209     nan     nan]

...

which can be not reshaped after with the following function:

inputs = np.reshape(inputs, (len(inputs), ) + (90,3,1))

and the following Python erro is generated.

ValueError: cannot reshape array of size 5242880 into shape (1048576,90,3,1)

Correct syntax:

-0.6946377,12.680544,0.50395286,5.012288,11.264028,0.95342433...

...

Best Regards,

Jean-Michel

[YMand.6]

Hi

I tried the way you had suggested to input the flatten tensor file but still it is giving the error on desktop validation. Please find the attached file of my data

[doliprane]

For people still having this problem, I had the same issue and I solved it by changing the value of _APP_DEBUG_ from 0 to 1 (defined in "aiValidation.c")