# Prepare input/output buffers

Source: [https://docs.qualcomm.com/doc/80-70014-54/topic/prepare-input-output-buffers.html](https://docs.qualcomm.com/doc/80-70014-54/topic/prepare-input-output-buffers.html)

When building a standalone TensorFlow Lite application, the pipeline to execute
        TensorFlow Lite models requires preparing input data, for example, camera
        frames.

Preprocessing operations, in the following cases for example, are important to ensure
            that inference is done correctly:

- Resizing the input image to a resolution that the model expects
- Normalization
- Mean subtraction

**Parent Topic:** [Run inference](https://docs.qualcomm.com/doc/80-70014-54/topic/run-inference.html)

Last Published: Jul 12, 2024

[Previous Topic
Prepare a model with a chosen delegate](https://docs.qualcomm.com/bundle/publicresource/80-70014-54/topics/prepare-a-model-with-a-chosen-delegate.md) [Next Topic
Run a model](https://docs.qualcomm.com/bundle/publicresource/80-70014-54/topics/execute-a-model.md)