Comments (7)
I just remembered I have a lib for that, lol. Sometimes I forget what I build.
- Install react-native-blob-jsi-helper
- Install react-native-fast-tflite
const imageResource = await fetch("file://mylocalimage.png")
const blob = await imageResource.blob()
const arrayBuffer = getArrayBufferForBlob(blob)
// make sure the model is appropriately sized and in RGBA though.
// otherwise, create a for loop that modifies the arrayBuffer so it fits the model.
await model.run([arrayBuffer])
from react-native-fast-tflite.
You need some way to get an Image's raw data as a number array (raw bytes).
Not sure if fetch can do that in react native?
from react-native-fast-tflite.
Related Issues (20)
- Error building the app HOT 2
- Problems and confusion regarding the input format HOT 3
- TypeError: Cannot read property 'runSync' of undefined HOT 13
- Build Errors in iOS HOT 9
- How to run inference with dynamic shape model ? HOT 5
- How to convert image into 4d tensor typed Array HOT 2
- Problem with loading tflite model on Android in release version HOT 5
- Problem with using GPU Delegates HOT 1
- Use TensorFlowLiteC from source (`tensorflow/`) on Android as well
- iOS does not build on x86 Simulators HOT 3
- Unable to resolve module ./LogBoxImages/close.png HOT 3
- How to get coordinates and confidence information from yolo 8 model HOT 1
- How to use GPU Acceleration on Android? HOT 3
- How to use this library for image selecting from gallery ?
- Mediapipe Solutions with the frame processor HOT 3
- How can I use this with expo? HOT 9
- Error: react-native-fast-tflite is not yet supported on Android! I couldn't manage to get TFLite to build for NDK/C++ HOT 23
- Support for Expo Go? HOT 1
- Error loading model HOT 2
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from react-native-fast-tflite.