Add images from internal storage

[gowthami77]

Hi is this possible to add images from internal storage. Please anyone help me to resolve my issue.

Thanks in advance

[gowthami77]

Hi @estebanuri is there any solution for my problem. please respond.

[h3clikejava]

The recognition rate is very low...

public float[] getFeature(final Bitmap bitmap) {
    // Log this method so that it can be analyzed with systrace.
    Trace.beginSection("recognizeImage");

    Trace.beginSection("preprocessBitmap");
    // Preprocess the image data from 0-255 int to normalized float based
    // on the provided parameters.
    bitmap.getPixels(intValues, 0, bitmap.getWidth(), 0, 0, bitmap.getWidth(), bitmap.getHeight());

    imgData.rewind();
    for (int i = 0; i < inputSize; ++i) {
      for (int j = 0; j < inputSize; ++j) {
        int pixelValue = intValues[i * inputSize + j];
        if (isModelQuantized) {
          // Quantized model
          imgData.put((byte) ((pixelValue >> 16) & 0xFF));
          imgData.put((byte) ((pixelValue >> 8) & 0xFF));
          imgData.put((byte) (pixelValue & 0xFF));
        } else { // Float model
          imgData.putFloat((((pixelValue >> 16) & 0xFF) - IMAGE_MEAN) / IMAGE_STD);
          imgData.putFloat((((pixelValue >> 8) & 0xFF) - IMAGE_MEAN) / IMAGE_STD);
          imgData.putFloat(((pixelValue & 0xFF) - IMAGE_MEAN) / IMAGE_STD);
        }
      }
    }
    Trace.endSection(); // preprocessBitmap

    // Copy the input data into TensorFlow.
    Trace.beginSection("feed");


    Object[] inputArray = {imgData};

    Trace.endSection();

// Here outputMap is changed to fit the Face Mask detector
    Map<Integer, Object> outputMap = new HashMap<>();

    embeedings = new float[1][OUTPUT_SIZE];
    outputMap.put(0, embeedings);


    // Run the inference call.
    Trace.beginSection("run");
    //tfLite.runForMultipleInputsOutputs(inputArray, outputMapBack);
    tfLite.runForMultipleInputsOutputs(inputArray, outputMap);
    Trace.endSection();

    return embeedings[0];
  }

  @Override
  public float getScore(float[] f1, float[] f2) {
    Pair<String, Float> ret = null;

      float distance = 0;
      for (int i = 0; i < f1.length; i++) {
        float diff = f1[i] - f2[i];
        distance += diff * diff;
      }
      distance = (float) Math.sqrt(distance);

    return distance;
  }