Dmitry Kurtaev dkurt

Download Android Studio
Download Android NDK and SDK (as far as I remember SDK comes with Android Studio or might be installed from it's manager).
Clone master branch of OpenCV. Create a /path/to/opencv/build folder and run cmake with the following flags. You may emit BUILD_LIST flag to build all the modules.

export ANDROID_NDK=/home/dkurtaev/Downloads/android-ndk-r14b
export ANDROID_SDK=/home/dkurtaev/Android/Sdk/
export ANDROID_HOME=/home/dkurtaev/Android/Sdk/

Prepare the model (tested with mobilenetv2_coco_cityscapes_trainfine from https://github.com/tensorflow/models/blob/master/research/deeplab/g3doc/model_zoo.md)

import tensorflow as tf
from tensorflow.tools.graph_transforms import TransformGraph
from tensorflow.python.tools import optimize_for_inference_lib


graph = 'deeplabv3_mnv2_cityscapes_train/frozen_inference_graph.pb'
with tf.gfile.FastGFile(graph, 'rb') as f:
 graph_def = tf.GraphDef()

	node {
	name: "image_tensor"
	op: "Placeholder"
	attr {
	key: "dtype"
	value {
	type: DT_UINT8
	}
	}
	attr {

	node {
	name: "image_tensor"
	op: "Placeholder"
	attr {
	key: "dtype"
	value {
	type: DT_UINT8
	}
	}
	attr {

	node {
	name: "image_tensor"
	op: "Placeholder"
	attr {
	key: "dtype"
	value {
	type: DT_UINT8
	}
	}
	attr {

	from math import sqrt

	min_scale = 0.2
	max_scale = 0.95
	num_layers = 6
	aspect_ratios = [1.0, 2.0, 0.5, 3.0, 0.333]
	image_width = 300
	image_height = 300

	scales = [min_scale + (max_scale - min_scale) * i / (num_layers - 1) for i in range(num_layers)] + [1.0]

	import cv2 as cv
	import numpy as np

	img = cv.imread('/home/dkurt/Pictures/download.jpeg')
	inp = cv.dnn.blobFromImage(img, 0.017, (224, 224), (103.94,116.78,123.68), swapRB=False, crop=False)

	net = cv.dnn.readNet('shufflenet_1x_g3_deploy.prototxt', 'shufflenet_1x_g3.caffemodel')
	net.setPreferableBackend(cv.dnn.DNN_BACKEND_OPENCV)
	net.setInput(inp)
	out = net.forward()

	import cv2 as cv
	import numpy as np

	def getBoardPoints():
	pts = []
	for x in range(0, 9):
	for y in range(0, 6):
	pts.append([x, y, 0])
	return np.array(pts, dtype=np.float32)

	#include <opencv2/dnn.hpp>
	#include <opencv2/imgproc.hpp>
	#include <opencv2/highgui.hpp>

	std::vector<Rect> boxes; std::vector<float> confidences; std::vector<int> classIds;


	#include <opencv2/dnn/layer.details.hpp>

	#include <iostream>

	FROM ubuntu:18.04

	RUN apt-get update && \
	apt-get install -y \
	git \
	cmake \
	wget \
	unzip

	RUN git clone https://github.com/intel/intel-graphics-compiler igc && \