Unknown image file format. One of JPEG, PNG, GIF, BMP required.

Hi , I have a tflite model trained with tensorflow 1.x
I have converted my model to tflite with below code:

         converter = tf.lite.TFLiteConverter.from_saved_model(
         saved_model_dir=SAVED_MODEL_DIR)
         converter.optimizations = {tf.lite.Optimize.DEFAULT} #optional sh
         converter.change_concat_input_ranges = True #optional sh
         converter.target_spec.supported_ops = [  #should be
         tf.lite.OpsSet.TFLITE_BUILTINS, # enable TensorFlow Lite ops.
         tf.lite.OpsSet.SELECT_TF_OPS # enable TensorFlow ops.
          ] 
         tflite_model = converter.convert()

I have tested my tflite model with python interpreter and got desirable output by this code:

          input_details = interpreter.get_input_details()
          output_details = interpreter.get_output_details()
          image_filename='img.jpeg'
          input_data  = tf.compat.v1.gfile.FastGFile(image_filename, 'rb').read()
          input_data = np.array([input_data ])
          interpreter.set_tensor(input_details[0]['index'], input_data)
          interpreter.invoke()
          output_data = interpreter.get_tensor(output_details[0]['index'])
          print(output_data)

Now I want to write and inference in android studio 7.2.1 , the model is not loaded in ML folder and so I should load it with interpreter like this:

           tflitemodel = loadModelFile(this.assets, "tag.tflite")
           tflite = Interpreter(tflitemodel)
           val options = Interpreter.Options()
           val index = tflite.getInputIndex("input_values:0")
           tflite.resizeInput(
                index,
                intArrayOf(1, catBitmap!!.width, catBitmap!!.height, 3)
           )

until hear, everything is ok, but when I try to feed input image to my model with the below code:

     val catBitmap = getBitmapFromAsset("bwr.jpg")
     val width: Int = catBitmap.getWidth()
     val height: Int = catBitmap.getHeight()
     val imageProcessor = ImageProcessor.Builder()
            .add(
                ResizeOp(
                    height,
                    width,
                    ResizeOp.ResizeMethod.BILINEAR
                )
            )
            //.add(NormalizeOp(0.0, 255.0))
            .build()
      var tensorImage = TensorImage(DataType.UINT8)
      tensorImage.load(catBitmap);
      tensorImage = imageProcessor.process(tensorImage);
      val dd1=tensorImage.getBuffer()
      val ssw=dd1.order(ByteOrder.nativeOrder())
      val input1=arrayOf(ssw.toString())
      val probabilityBuffer =
            TensorBuffer.createFixedSize(intArrayOf(1, 5000), DataType.FLOAT32)
       
     tflite.run(input1, probabilityBuffer.getBuffer());

I face this error :

java.lang.IllegalArgumentException: Internal error: Failed to run on the given Interpreter: Unknown image file format. One of JPEG, PNG, GIF, BMP required.
(while executing 'DecodeBmp' via Eager)

while according to Netron, the input type of my model should be sting[1] as I provided in my code. would you please help me to fix it ? what is my mistake?

Start with the Android inference code around Interpreter.run, TensorImage.getBuffer(), and the input tensor reported by Netron; compare the model's expected string[1] input with the value passed as input1. Done means the model runs without the DecodeBmp/unknown image format error and produces the expected output buffer.