Android 无法在类型为UINT8的TensorFlowLite tensor和类型为的Java对象之间转换

主要错误是

无法在类型为UINT8的TensorFlowLite tensor和类型为[[F（与TensorFlowLite类型FLOAT32兼容）的Java对象之间进行转换。

从中使用的模型

模型载荷代码

      String res = await Tflite.loadModel(
        model: "assets/mobilenet_v1.tflite",
        labels: "assets/mobilenet_v1.txt",
        numThreads: 1, // defaults to 1
        isAsset: true,
        useGpuDelegate:
            false, // defaults to false, set to true to use GPU delegate
      );

基于图像的运行模型

    var recognitions = await Tflite.runModelOnImage(
      path: image.path,
      imageMean: 0.0,
      imageStd: 255.0, // defaults to 1.0
      threshold: 0.2, // defaults to 0.1
    );

    setState(() {
      _recognitions = recognitions;
      print('Got ${_recognitions.length} recognitions');
    });

错误堆栈

I/flutter (14229): Working on /data/user/0/com.example.safety_app/cache/image_picker2866004901851985262.jpg
W/com.example.safety_app(14229): type=1400 audit(0.0:118930): avc: denied { read } for comm=4173796E635461736B202332 name="u:object_r:vendor_default_prop:s0" dev="tmpfs" ino=18666 scontext=u:r:untrusted_app:s0:c170,c258,c512,c768 tcontext=u:object_r:vendor_default_prop:s0 tclass=file permissive=0
E/libc    (14229): Access denied finding property "ro.hardware.chipname"
E/AndroidRuntime(14229): FATAL EXCEPTION: AsyncTask #2
E/AndroidRuntime(14229): Process: com.example.safety_app, PID: 14229
E/AndroidRuntime(14229): java.lang.RuntimeException: An error occurred while executing doInBackground()
E/AndroidRuntime(14229):    at android.os.AsyncTask$3.done(AsyncTask.java:354)
E/AndroidRuntime(14229):    at java.util.concurrent.FutureTask.finishCompletion(FutureTask.java:383)
E/AndroidRuntime(14229):    at java.util.concurrent.FutureTask.setException(FutureTask.java:252)
E/AndroidRuntime(14229):    at java.util.concurrent.FutureTask.run(FutureTask.java:271)
E/AndroidRuntime(14229):    at android.os.AsyncTask$SerialExecutor$1.run(AsyncTask.java:245)
E/AndroidRuntime(14229):    at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1167)
E/AndroidRuntime(14229):    at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:641)
E/AndroidRuntime(14229):    at java.lang.Thread.run(Thread.java:764)
E/AndroidRuntime(14229): Caused by: java.lang.IllegalArgumentException: Cannot convert between a TensorFlowLite tensor with type UINT8 and a Java object of type [[F (which is compatible with the TensorFlowLite type FLOAT32).
E/AndroidRuntime(14229):    at org.tensorflow.lite.Tensor.throwIfTypeIsIncompatible(Tensor.java:406)
E/AndroidRuntime(14229):    at org.tensorflow.lite.Tensor.copyTo(Tensor.java:251)
E/AndroidRuntime(14229):    at org.tensorflow.lite.NativeInterpreterWrapper.run(NativeInterpreterWrapper.java:170)
E/AndroidRuntime(14229):    at org.tensorflow.lite.Interpreter.runForMultipleInputsOutputs(Interpreter.java:343)
E/AndroidRuntime(14229):    at org.tensorflow.lite.Interpreter.run(Interpreter.java:304)
E/AndroidRuntime(14229):    at sq.flutter.tflite.TflitePlugin$RunModelOnImage.runTflite(TflitePlugin.java:481)
E/AndroidRuntime(14229):    at sq.flutter.tflite.TflitePlugin$TfliteTask.doInBackground(TflitePlugin.java:448)
E/AndroidRuntime(14229):    at sq.flutter.tflite.TflitePlugin$TfliteTask.doInBackground(TflitePlugin.java:422)
E/AndroidRuntime(14229):    at android.os.AsyncTask$2.call(AsyncTask.java:333)
E/AndroidRuntime(14229):    at java.util.concurrent.FutureTask.run(FutureTask.java:266)
E/AndroidRuntime(14229):    ... 4 more
W/System  (14229): A resource failed to call close.
I/Process (14229): Sending signal. PID: 14229 SIG: 9
Lost connection to device.
Exited (sigterm)

---

让我从一件显而易见的事情开始：您正试图将浮点图像提供给整数类型的模型输入

根据您的要求，只有一种型号：Mobilenet_V1_1.0_224_quant。这是一种量化型号，以整数执行所有操作，输入时需要整数：

所有模型都要求每个像素有三个颜色通道（红色、绿色和蓝色）。量化模型要求每个通道有1个字节，浮点模型要求每个通道有4个字节

如果上述情况属实，我在这里看到的解决方案很少：

使用相同的模型，正确管理您的输入。量化模型在CPU上表现更好，但精确度较低

详细检查并选择浮点1