[mob][onnx] Specify return type

mobile/lib/services/machine_learning/face_ml/face_detection/face_detection_service.dart

@@ -142,7 +142,7 @@ class FaceDetectionService extends MlModel {
       "YOLO_FACE",
     );
     final List<List<List<double>>> reconstructedTensor = [];
-    for (int i = 0; i < result.length; i += 25200 * 16) {
+    for (int i = 0; i < result!.length; i += 25200 * 16) {
       final List<List<double>> outerArray = [];
       for (int j = 0; j < 25200; j++) {
         final List<double> innerArray =

mobile/plugins/onnx_dart/lib/onnx_dart.dart

@@ -16,7 +16,7 @@ class OnnxDart {
         .init(modelType, modelPath, sessionsCount: sessionsCount);
   }
 
-  Future<dynamic?> predict(
+  Future<Float32List?> predict(
     Float32List inputData,
     String modelType, {
     int sessionAddress = 0,

mobile/plugins/onnx_dart/lib/onnx_dart_method_channel.dart

@@ -37,31 +37,13 @@ class MethodChannelOnnxDart extends OnnxDartPlatform {
     return result;
   }
 
-  // @override
-  // Future<List<double>?> predict(
-  //   List<double> inputData,
-  //   String modelType, {
-  //   int sessionAddress = 0,
-  // }) async {
-  //   final List<dynamic>? result =
-  //       await methodChannel.invokeMethod<List<double>?>(
-  //     'predict',
-  //     {
-  //       'sessionAddress': sessionAddress,
-  //       'inputData': inputData,
-  //       'modelType': modelType,
-  //     },
-  //   );
-  //   return result!.cast<double>();
-  // }
-
   @override
-  Future<dynamic?> predict(
+  Future<Float32List?> predict(
     Float32List inputData,
     String modelType, {
     int sessionAddress = 0,
   }) {
-    return methodChannel.invokeMethod<dynamic?>(
+    return methodChannel.invokeMethod<Float32List?>(
       'predict',
       {
         'sessionAddress': sessionAddress,

mobile/plugins/onnx_dart/lib/onnx_dart_platform_interface.dart

@@ -41,7 +41,7 @@ abstract class OnnxDartPlatform extends PlatformInterface {
     throw UnimplementedError('release() has not been implemented.');
   }
 
-  Future<dynamic?> predict(
+  Future<Float32List?> predict(
     Float32List inputData,
     String modelType, {
     int sessionAddress = 0,