unable to use my classifiers.tflite and label.txt. Please help
@AdarshJain2305,
TensorFlow Lite models may come with different associated files. For example, natural language models usually have vocab files that map word pieces to word IDs; classification models may have label files that indicate object categories. Without the associated files (if there are), a model will not function well.

The associated files can now be bundled with the model through the metadata Python library. The new TensorFlow Lite model becomes a zip file that contains both the model and the associated files. It can be unpacked with common zip tools. This new model format keeps using the same file extension, .tflite. It is compatible with existing TFLite framework and Interpreter. 
Also please take a look at this official doc link for the [reference](https://www.tensorflow.org/lite/models/convert/metadata#label_output).

https://www.tensorflow.org/lite/models/convert/metadata#adding_metadata_using_flatbuffers_python_api

Thank you! @tilakrayal 
in which part of the pose classification do I need make changes to use my classifiers.tflite and label.txt files *pose classification folder

 @AdarshJain2305,

- Preprocess the pose classification training data into a CSV file that specifies the landmarks (body keypoints) detected by the MoveNet model, along with the ground truth pose labels.

- Build and train a pose classification model that takes the landmark coordinates from the CSV file as input, and outputs the predicted labels.

- Convert the pose classification model to TFLite.

The detailed explanation was available at this official document **pose_classification.ipynb** for reference.
https://github.com/tensorflow/tensorflow/blob/2823f9082cc69174bab5f5478999258139de8610/tensorflow/lite/g3doc/tutorials/pose_classification.ipynb

 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. > 


@tilakrayal What is the label.txt file format? Is there a case? @Cranky-cat,
Looks like the similar issue was raised https://github.com/tensorflow/tensorflow/issues/59968. We can track the issue there. 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?
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