I am building and training a neural network model on tensorflow version 2.17.0-nightly. After that I convert it to a tflite model. But when I try to load the model I get the following message: Didn't find op for builtin…
MissingPluginException (MissingPluginException(No implementation found for method loadModel on channel tflite)) I have stuck withh flutter and tflite : loadModel() async { await Tflite.loadModel( model: 'assets/model_unquant.tflite', labels: 'assets/labels.txt', ); } I used latest version tflite: ^1.1.2 I try downgrade but not…
I am trying to develop Android app that takes an audio clip and classify this audio using YAMNet model https://tfhub.dev/google/lite-model/yamnet/classification/tflite/1 During my research about this, I found this solution: Add these dependencies // to run yamnet.tflite model implementation 'org.tensorflow:tensorflow-lite-task-audio:0.2.0' //…
The current version of tflite-runtime is 2.11.0: https://pypi.org/project/tflite-runtime/ Here is a testing for downloading the tflite-runtime to the tmp folder: mkdir -p /tmp/test cd /tmp/test echo "tflite-runtime == 2.11.0" > ./test.txt pip3 download -r ./test.txt Here is the error: ERROR:…
I am new to flutter. I am making an action recognize mobile app. But tflite defense doesn't work with flutter. Does anyone know a solution? The plugin tflite uses a deprecated version of the Android embedding. To avoid unexpected runtime…
My tflite directory is as follows: /home/me/tensorflow_src/tensorflow/lite/ However, I fail to import it in my C++ project: #include "tensorflow/lite/interpreter.h" // getting a not found error How can I add resolve this error? My assumption is that I'd need to add…
I am trying to run a TensorFlow-lite model on my App on a smartphone. First, I trained the model with numerical data using LSTM and build the model layer using TensorFlow.Keras. I used TensorFlow V2.x and saved the trained model…
I am trying to cross compile Tensorflow Lite (2.5, nightly build) for iOS. I would like to build a static framework. Here is the build command I used: bazel build --config=ios_arm64 -c opt //tensorflow/lite/ios:TensorFlowLiteC_framework The TensorFlowLiteC_framework target is defined in…