[mob][photos] Logging

mobile/lib/services/machine_learning/face_ml/face_embedding/face_embedding_service.dart

@@ -60,8 +60,6 @@ class FaceEmbeddingService extends MlModel {
     Float32List input,
     int sessionAddress,
   ) {
-    final stopwatch = Stopwatch()..start();
-    _logger.info('MobileFaceNet interpreter.run is called');
     final runOptions = OrtRunOptions();
     final int numberOfFaces = input.length ~/ (kInputSize * kInputSize * 3);
     final inputOrt = OrtValueTensor.createTensorWithDataList(
@@ -78,11 +76,9 @@ class FaceEmbeddingService extends MlModel {
     }
     inputOrt.release();
     runOptions.release();
-    outputs.forEach((element) => element?.release());
-    stopwatch.stop();
-    _logger.info(
-      'MobileFaceNetFFI interpreter.run is finished, in ${stopwatch.elapsedMilliseconds}ms',
-    );
+    for (var element in outputs) {
+      element?.release();
+    }
 
     return embeddings;
   }

mobile/lib/utils/image_ml_util.dart

@@ -34,11 +34,13 @@ Future<(Image, ByteData)> decodeImageFromPath(String imagePath) async {
       final String? jpgPath =
           await HeifConverter.convert(imagePath, format: 'jpg');
       if (jpgPath != null) {
+        _logger.info('Conversion successful, decoding JPG');
         final imageData = await File(jpgPath).readAsBytes();
         final image = await decodeImageFromData(imageData);
         final ByteData imageByteData = await getByteDataFromImage(image);
         return (image, imageByteData);
       }
+      _logger.info('Unable to convert $format to JPG');
     }
     _logger.severe(
       'Error decoding image of format $format (Android: ${Platform.isAndroid})',