TFLite CMake Task Library build
@Moddingear Please ensure you are using a TensorFlow Lite version compatible with your Coral TPU model. Your OpenCV version should support Coral TPU acceleration as well. Thank you! Hello, thanks for the response.
In OpenCV (4.9.0), I didn't see any backends that would correspond with the Coral TPU. Calling dnn::getAvailableBackends() only lists DNN_BACKEND_OPENCV with DNN_TARGET_CPU (I have libusb-dev installed)
As for The TFLite version, I don't know what I should be downloading... Hi @Moddingear, can you let me know what setup/installation you have performed as well as the commands which are running into issues? i.e. Have you tried compiling? Are you only using C++? Which task library are you trying to use? If you can share with us your steps & files, we can probably help you better. Thanks for your help.

Does this minimal example work for you? https://github.com/tensorflow/tensorflow/tree/master/tensorflow/lite/examples/minimal

Please also review this https://coral.ai/docs/edgetpu/tflite-cpp/#run-an-inference-with-the-libcoral-api and see if that works for you or not. This issue is stale because it has been open for 7 days with no activity. It will be closed if no further activity occurs. Thank you. This issue was closed because it has been inactive for 7 days since being marked as stale. Please reopen if you'd like to work on this further. Are you satisfied with the resolution of your issue?
<a href="https://docs.google.com/forms/d/e/1FAIpQLSfaP12TRhd9xSxjXZjcZFNXPGk4kc1-qMdv3gc6bEP90vY1ew/viewform?entry.85265664=Yes&entry.2137816233=https://github.com/tensorflow/tensorflow/issues/62954">Yes</a>
<a href="https://docs.google.com/forms/d/e/1FAIpQLSfaP12TRhd9xSxjXZjcZFNXPGk4kc1-qMdv3gc6bEP90vY1ew/viewform?entry.85265664=No&entry.2137816233=https://github.com/tensorflow/tensorflow/issues/62954">No</a>

### Issue type

Build/Install

### Have you reproduced the bug with TensorFlow Nightly?

No

### Source

source

### TensorFlow version

master

### Custom code

No

### OS platform and distribution

Debian 12

### Mobile device

_No response_

### Python version

_No response_

### Bazel version

_No response_

### GCC/compiler version

_No response_

### CUDA/cuDNN version

_No response_

### GPU model and memory

_No response_

### Current behavior?

https://www.tensorflow.org/lite/inference_with_metadata/task_library/object_detector#run_inference_in_c
No includes are given.
Class does not exist in Tensorflow Lite.
Same for other classes in the task library.

I'm just trying to use the Coral TPU to accelerate DNN execution wiht OpenCV, the fact that it's this hard to even get working in infuriating.

### Standalone code to reproduce the issue

```shell
I have followed https://www.tensorflow.org/lite/guide/build_cmake#create_a_cmake_project_which_uses_tensorflow_lite
in a cmake project.
```


### Relevant log output

_No response_