Building a custom Image Classification Model

[suburban-daredevil]

Hey @kamiltomaszewski

Thanks for taking your time out and responding!

I am in the directory that you have mentioned.

I am attaching the screenshot of the path I am currently in

But in the specified path, there is no such directory as tflmrt_lenet

But the tflmrt_lenet directory is present in the another location. This contains all the necessary files from the outlook of it

Are they both the same? Or is this the one you mentioned?

Thanks

[KamilTomaszewski]

Hi @suburban-daredevil

I am sorry, my mistake. I meant: examples/tflmrt_lenet.

Best Regards,
Kamil Tomaszewski

[suburban-daredevil]

Hi @kamiltomaszewski

I was just going through the example code for tflmrt_lenet given. There was a function call like the one given below

int tflm_runtime_forward(tflm_runtime_t *rt, const void *inputs[],
                         unsigned char input_num);

Here what does the variable "input_num" represent?

Thanks

[suburban-daredevil]

Hi @KamilTomaszewski

In the code given below

int tflm_runtime_output_shape(tflm_runtime_t *rt, unsigned char output_index, unsigned char dim_index)

What does the the variables "output_index" and "dim_index" represent?

Thanks

[KamilTomaszewski]

Hi @suburban-daredevil

input_num is the number of inputs you defined in the array inputs for your neural network. input_num equals to tflm_runtime_input_num()
output_index is index to specify an output. You can check the number of outputs of your neural network using tflm_runtime_output_num()
dim_indexis index to specify a dimension. You can check the number of dimensions of your specific output using tflm_runtime_output_ndim()

Below is a short code that uses these functions to print information about the output of your neural network:

  int output_num = tflm_runtime_output_num(&rt);
  printf("output num: %d\n", output_num);
  for (int i = 0; i < output_num; i++)
  {
    printf("output: %d, size: %d\n", i, tflm_runtime_output_size(&rt, i));
    printf("output: %d, dim num: %d\n", i, tflm_runtime_output_ndim(&rt, i));
    for (int j = 0; j< tflm_runtime_output_ndim(&rt, i); j++)
    {
      printf("output: %d, dim: %d, shape: %d\n", i, j, tflm_runtime_output_shape(&rt, i, j));
    }
  }

Best Regards,
Kamil Tomaszewski

[suburban-daredevil]

Hi @kamiltomaszewski

Is there any resource / documentation explaining the usage of all the function calls (especially the ones in the runtime.h file) used in the tflmrt_lenet program?

Thanks

[KamilTomaszewski]

Hi @suburban-daredevil
You can find the TFLMRT documentation here: https://developer.sony.com/develop/spresense/docs/sdk_developer_guide_en.html#_tflm_runtime
tflmrt_lenet example is described here:
https://developer.sony.com/develop/spresense/docs/sdk_tutorials_en.html#_tflmrt_sample_application
You can find the description of the functions in the comments in this file:
https://github.com/sonydevworld/spresense/blob/master/sdk/modules/include/tflmrt/runtime.h

Best Regards,
Kamil Tomaszewski

[suburban-daredevil]

Hi @kamiltomaszewski

We have the tflmrt_lenet example which was trained on 28x28 grayscale images. What are the changes that has to be made and in what files (like app_main.c, pnm_util.c etc.) to accept and process RGB images of different size (say 96x96) ?

Thanks

[suburban-daredevil]

Hi @KamilTomaszewski

I just wanted to know, to embed our model's C-byte array code in our application, is it sufficient to replace the existing model0.c file's array contents with that of our new model?

I tried emedding the model0.c file's array contents with that of my new model and also changed the model length. But every time I run inference, for any given input I'm getting the same output. No change in output. Am I missing something?

And also model_tflite is the buffer that holds the model.

And network is the variable that holds our NN. It is assigned in the else part of the code block below

But I think the network variable doesn't read the builtin model and hence it is not able to perform the right inference ?

Any help is appreciated

Thanks

[KamilTomaszewski]

Hi @suburban-daredevil,

You need to change #define MNIST_SIZE_PX (28 * 28) to #define MNIST_SIZE_PX (96 * 96 * 3) in the tflmrt_lenet_main.c file and #define MY_BUFSIZ (28 * 28) to #define MY_BUFSIZ (96 * 96 * 3) in the pnm_util.c file. I think that should be enough.

Does your model array have __attribute__((aligned))?

Best Regards,
Kamil Tomaszewski

[suburban-daredevil]

Hi @kamiltomaszewski

I think you are referring to this right?

I'm not sure how to check if my new model has __attribute__((aligned))

Thanks

[KamilTomaszewski]

Hi @suburban-daredevil

Yes, that is right.

Are you using the model as a C array or as a binary file that you load from the SD card?

[suburban-daredevil]

Hi @kamiltomaszewski

I have 2 queries

• Currently I'm loading my model from the SD card. But I want to embed my model code onto my application folder itself. Is it enough to replace the contents of the model_tflite[] array with that of my new model or is there any other changes to be made?
• When running the app from the nuttx prompt, I try to give the path of the image that should be used for inference. But currently only 28*28 grayscale images are being accepted. When I try to give images of any other dimensions, it says pgm image load failed . I have made the change that you have suggested above. Are there any other changes to be made?

Thanks

[KamilTomaszewski]

Hi @suburban-daredevil

It should be enough to replace the contents of the model_tflitearray with that of your new model.

Could you check where exactly the pnm_load function returns an error?

Best Regards,
Kamil Tomaszewski

[suburban-daredevil]

Hi @KamilTomaszewski

When I try to run build and flash from VS code, I get the following error. But I do have a file called project_name.nuttx.spx inside my out directory after building.

Can you help me out with this?

Thanks

[KamilTomaszewski]

Hi @suburban-daredevil,

I think there is a bug in the latest VS code release. Could you please try an older release? For example: https://update.code.visualstudio.com/1.63.2/linux-deb-x64/stable

Best Regards,
Kamil Tomaszewski

[suburban-daredevil]

Hi @KamilTomaszewski

It worked and solved the issue. Thanks for your help

Thanks