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A TensorFlow inference library for react native

Results 22 react-native-tensorflow issues
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I already added rn-cli.config.js file. Please help me asap i need to submit my project in this week.

i have trained a tensorflow model to identify language how can i use it

Is there any way to use base64 string as the input for tensorflow image api or any workaround like sort of conversion of data type? I saw #9 and #2...

[Error: TransformError App.js: Cannot find module '/Users/akumar/Documents/TFRNdemo/node_modules/@react-native-community/cli/node_modules/metro-react-native-babel-transformer/src/index.js' { "name": "TFRNdemo", "version": "0.0.1", "private": true, "scripts": { "android": "react-native run-android", "ios": "react-native run-ios", "start": "react-native start", "test": "jest", "lint": "eslint ."...

use metro.config.js instead of rn-cli.config.js

Can you please more detail describe how do you create model for that lib and what kind of model is it?

I have installed the library and trying to use the available example. When I am loading the model from`../asset/tensorflow_inception_graph.pb` then it is giving me the error that unable to resolve...

```js const results = await tfImageRecognition.recognize({ image: require('../../assets/earth-alighted.jpeg'), // Also tried using "file://image_ocation.jpg" of cached image location from React-Native-Camera `takePictureAsync()` inputName: "input", inputSize: 224, outputName: "output", maxResults: 3, threshold: 0.1,...

Showing result name as Unknown i;e results[0].name = unknown

When running the same model against the same picture(s), the predictions produced on the mobile device are vastly different than those produced by the linux VM. Anyone else seeing this?