advancedskrald/ChessAR/Assets/python_test.cs

151 lines
5.0 KiB
C#

using System;
using System.Collections;
using System.Collections.Generic;
using System.Diagnostics;
using System.IO;
using OpenCVForUnity.CoreModule;
using UnityEngine;
using Vuforia;
using Newtonsoft.Json;
using OpenCVForUnity.Calib3dModule;
using OpenCVForUnity.ImgprocModule;
using OpenCVForUnity.ImgcodecsModule;
public class HomographyPoints
{
public List<List<float>> src_points { get; set; }
public List<List<float>> dst_points { get; set; }
}
public class python_test : MonoBehaviour
{
Mat camImageMat;
readonly int baselineWidth = 1500;
readonly int baselineHeight = 1500;
Mat loadedImage;
// Start is called before the first frame update
void Start()
{
loadedImage = Imgcodecs.imread("/Users/alexandermunch-hansen/projects/chess_stuff/advancedskrald/whole_boards/boards_for_empty/board_1554285984.187497_rank_4.png");
}
string runCmd(Mat image)
{
var buffer = new MatOfByte();
OpenCVForUnity.ImgcodecsModule.Imgcodecs.imencode(".png", camImageMat, buffer);
string base64 = Convert.ToBase64String(buffer.toArray());
ProcessStartInfo start = new ProcessStartInfo();
start.FileName = "/Users/alexandermunch-hansen/.virtualenvs/cv/bin/python3";
var cmd = "/Users/alexandermunch-hansen/projects/chess_stuff/advancedskrald/adapter.py";
//var cmd = "/Users/alexandermunch-hansen/projects/FuckCSharp/AR-Course/AR-3/Assets/tester.py";
var args = "";
start.Arguments = string.Format("\"{0}\" \"{1}\"", cmd, args);
start.UseShellExecute = false;// Do not use OS shell
start.CreateNoWindow = true; // We don't need new window
start.RedirectStandardInput = true;
start.RedirectStandardOutput = true;// Any output, generated by application will be redirected back
start.RedirectStandardError = true; // Any error in standard output will be redirected back (for example exceptions)
using (Process process = Process.Start(start))
{
using (StreamWriter writer = process.StandardInput)
{
writer.WriteLine(base64);
//writer.WriteLine("lol" + writer.NewLine);
writer.Close();
}
process.WaitForExit();
string err = process.StandardError.ReadToEnd();
print(err);
using (StreamReader reader = process.StandardOutput)
{
string result = reader.ReadLine();
return (string) result;
}
}
}
// Update is called once per frame
void Update()
{
Image camImg = CameraDevice.Instance.GetCameraImage(Image.PIXEL_FORMAT.RGBA8888);
Mat outputMat = null;
if (camImg != null)
{
if (camImageMat == null)
{
camImageMat = new Mat(camImg.Height, camImg.Width, CvType.CV_8UC4);
}
camImageMat.put(0, 0, camImg.Pixels);
if (Input.GetKeyDown("space"))
{
/*
var camImgCopy = camImageMat.clone();
outputMat = camImageMat.clone();
*/
print("------------------------------------");
print(loadedImage.size());
var camImgCopy = loadedImage.clone();
outputMat = camImgCopy.clone();
camImageMat = loadedImage.clone();
print("------------------------------------");
var pls = runCmd(camImageMat);
print(pls);
HomographyPoints homographyPoints = JsonConvert.DeserializeObject<HomographyPoints>(pls);
print(homographyPoints.src_points);
MatOfPoint2f imagePoints = new MatOfPoint2f();
imagePoints.alloc(homographyPoints.src_points.Count);
print(homographyPoints.src_points.Count);
MatOfPoint2f dstPoints = new MatOfPoint2f();
dstPoints.alloc(homographyPoints.dst_points.Count);
for (int i = 0; i < homographyPoints.src_points.Count; i++)
{
imagePoints.put(i, 0, (int) homographyPoints.src_points[i][0], (int) homographyPoints.src_points[i][1]);
}
for (int i = 0; i < homographyPoints.dst_points.Count; i++)
{
dstPoints.put(i, 0, (int) homographyPoints.dst_points[i][0], (int) homographyPoints.dst_points[i][1]);
}
var homography = Calib3d.findHomography(imagePoints, dstPoints, Calib3d.RANSAC);
Imgproc.warpPerspective(camImgCopy, outputMat, homography, new Size(baselineWidth, baselineHeight));
imagePoints.Dispose();
dstPoints.Dispose();
}
if (outputMat != null)
MatDisplay.DisplayMat(outputMat, MatDisplaySettings.FULL_BACKGROUND);
}
}
}