Issue with bmp processing during ResNet application inference

[KirillP2323]

Hello, I'm using the ResnetJNI application as a template to build android APK.
I'm working on implementing the Infer function in the app, and I'm using inferModel from https://github.com/nnstreamer/nntrainer/blob/main/Applications/Android/ResnetJNI/app/src/main/jni/resnet.cpp#L565
However, it looks like the input variable is constant across different images I tried. Adding this snippet

  for (unsigned int i = 0; i < 5; i++) {
    ANDROID_LOG_I("%s", std::to_string(input[i].c_str());
  }

here always outputs these numbers:

-0.000000
1.000000
2.000000
3.000000
4.000000

I think the issue might be because of pBmp processing here: https://github.com/nnstreamer/nntrainer/blob/main/Applications/Android/ResnetJNI/app/src/main/jni/resnet_jni.cpp#L134

[taos-ci]

cibot: Thank you for posting issue #2207. The person in charge will reply soon.

[MyungJoo Ham]

I think the issue might be because of pBmp processing here: https://github.com/nnstreamer/nntrainer/blob/main/Applications/Android/ResnetJNI/app/src/main/jni/resnet_jni.cpp#L134

Could you please elaborate?

[KirillP2323]

I'm not completely sure how the process works, but to me it looks like on https://github.com/nnstreamer/nntrainer/blob/main/Applications/Android/ResnetJNI/app/src/main/jni/resnet_jni.cpp#L134 we assign RGB values of (i,j,0) to pixel (i,j) of pBmp, instead of copying information from bmp object.

[Jijoong Moon]

We will check. Thanks for the issues.