# TFLite video classification for iOS

**URL:** <https://discuss.ai.google.dev/t/tflite-video-classification-for-ios/31982>\
**Category:** General Discussion\
**Tags:** tfmodel, swift, ios\
**Created:** [April 21, 2024, 11:55pm UTC](https://discuss.ai.google.dev/t/tflite-video-classification-for-ios/31982 "2024-04-21T23:55:57Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![vchambers6](https://d1dlmcr85iqnpo.cloudfront.net/user_avatar/discuss.ai.google.dev/vchambers6/32/16077_2.png) [@vchambers6](https://discuss.ai.google.dev/u/vchambers6)\
**Post date:** [April 21, 2024, 11:55pm UTC](https://discuss.ai.google.dev/t/tflite-video-classification-for-ios/31982/1 "2024-04-21T23:55:58Z")

</div>

Hey! I’m trying to use a trained TensorFlowLite model in an iOS project, but I’m having some trouble figuring out how to use a TFLite model that takes several inputs in an iOS project.

In fact, [this Android project](https://github.com/tensorflow/examples/tree/master/lite/examples/video_classification/android) accomplishes exactly what I’d like to do with my TFLite model. However, I see that the API for TensorFlowLiteSwift is a bit more limited than the Android counterpart. Do you all have any advice or any sample projects that successfully use a TFLite model for video classification, or really any data over time on iOS.

Right now, my idea is to just iterate through a window of frames manually feed the interpreter the required inputs at each index. This seems really hacky and prone to breaking, and I’m not even sure it will work as I don’t know if the indices of the input tensors to the interpreter are static or changing, and there is no way (that I know of) to access the signature of each input. But I’ll give it a try until I can think of or find something better.