pubspec.yaml

tflite_flutter: ^0.9.1

还需要配置一些包和环境，请看下面步骤

安卓

安卓直接使用tflite会出现如下提示

[ERROR:flutter/lib/ui/ui_dart_state.cc(209)] Unhandled Exception: Invalid argument(s): Failed to load dynamic library 'libtensorflowlite_c.so': dlopen failed: library "libtensorflowlite_c.so" not found

我们只需要一个脚本，就可以自动下载so依赖文件到项目目录<projectdirectory>/android/app/src/main/jniLibs下

#!/usr/bin/env bash

cd "$(dirname "$(readlink -f "$0")")"

# Available versions
# 2.5, 2.4.1

TF_VERSION=2.5
URL="https://github.com/am15h/tflite_flutter_plugin/releases/download/"
TAG="tf_$TF_VERSION"

#download to <projectdirectory>/android/app/src/main/jniLibs
ANDROID_DIR="android/app/src/main/jniLibs/"
ANDROID_LIB="libtensorflowlite_c.so"

ARM_DELEGATE="libtensorflowlite_c_arm_delegate.so"
ARM_64_DELEGATE="libtensorflowlite_c_arm64_delegate.so"
ARM="libtensorflowlite_c_arm.so"
ARM_64="libtensorflowlite_c_arm64.so"
X86="libtensorflowlite_c_x86_delegate.so"
X86_64="libtensorflowlite_c_x86_64_delegate.so"

delegate=0

while getopts "d" OPTION
do
    case $OPTION in
        d)  delegate=1;;
    esac
done


download () {
    wget "${URL}${TAG}/$1" -O "$1"
    mkdir -p "${ANDROID_DIR}$2/"
    mv $1 "${ANDROID_DIR}$2/${ANDROID_LIB}"
}

if [ ${delegate} -eq 1 ]
then

download ${ARM_DELEGATE} "armeabi-v7a"
download ${ARM_64_DELEGATE} "arm64-v8a"

else

download ${ARM} "armeabi-v7a"
download ${ARM_64} "arm64-v8a"

fi

download ${X86} "x86"
download ${X86_64} "x86_64"

把这上面的代码放到项目根目录，install.sh文件，打开命令行窗口，运行

sh install.sh

sh install.sh结果 自动下载完成

安卓好简单吧，自动化脚本，这样app就可以直接运行tflite推理拉。

3. 如果您希望使用这些GpuDelegateV2和NnApiDelegate，使用'sh install.sh -d'

ios

编译详情请查看 https://www.jianshu.com/p/02fcd124973d

把自己编译的TensorFlowLiteC.framework或下载TensorFlowLiteC.framework
放到目录～/develop/flutter/.pub-cache/hosted/pub.flutter-io.cn/tflite_flutter-0.9.1/ios 下。
如果是ios模拟器运行，则需要自己编译为适合自己mac cpu的版本，我编译了一个x86_64版本的TensorFlowLiteC.framework
编译请看：https://www.jianshu.com/p/02fcd124973d

这样flutter就可以直接在模拟器运行app试试了

image.png