I managed to transform the ssd_mobilenet_v1_coco_2017_11_17 model to a dlc file.
The model ran on Android but the output is practically blank (only 1.0 for scores, 0.0 for boxes and classes)
I'm not sure what exactly is wrong.
float[] loadRgbBitmapAsFloat(Bitmap image) {
final int[] pixels = new int[image.getWidth() * image.getHeight()];
image.getPixels(pixels, 0, image.getWidth(), 0, 0,
image.getWidth(), image.getHeight());
final float[] pixelsBatched = new float[pixels.length * 3];
for (int y = 0; y < image.getHeight(); y++) {
for (int x = 0; x < image.getWidth(); x++) {
final int idx = y * image.getWidth() + x;
final int batchIdx = idx * 3;
final float[] rgb = extractColorChannels(pixels[idx]);
pixelsBatched[batchIdx] = rgb[0];
pixelsBatched[batchIdx + 1] = rgb[1];
pixelsBatched[batchIdx + 2] = rgb[2];
}
}
return pixelsBatched;
}
private float[] extractColorChannels(int pixel) {
float b = ((pixel) & 0xFF);
float g = ((pixel >> 8) & 0xFF);
float r = ((pixel >> 16) & 0xFF);
return new float[] {r,g,b};
}
this is how I preprocessed the already cropped Image, which in this case is 300x300. The model is unquantized and I am using FloatTensor. I did try to use UserBufferTensor but I got an error instead saying that the forward propagation did not work.