[C#]winform基于opencvsharp结合Diffusion-Low-Light算法实现低光图像增强黑暗图片变亮变清晰

【训练源码】

https://github.com/JianghaiSCU/Diffusion-Low-Light

【参考源码】

https://github.com/hpc203/Diffusion-Low-Light-onnxrun

【论文地址】

https://arxiv.org/pdf/2306.00306.pdf

【算法原理图】

【效果展示】

 【测试环境】

vs2019

netframework4.7.2

opencvsharp==4.8.0

onnxruntime==1.16.2

【部分实现代码】

using System;
using System.Diagnostics;
using System.Windows.Forms;
using OpenCvSharp;

namespace FIRC
{
    public partial class Form1 : Form
    {
        Mat src = null;
        DLLManager dm = new DLLManager();
        public Form1()
        {
            InitializeComponent();
        }

        private void button1_Click(object sender, EventArgs e)
        {
            OpenFileDialog openFileDialog = new OpenFileDialog();
            openFileDialog.Filter = "图文件(*.*)|*.jpg;*.png;*.jpeg;*.bmp";
            openFileDialog.RestoreDirectory = true;
            openFileDialog.Multiselect = false;
            if (openFileDialog.ShowDialog() == DialogResult.OK)
            {
              
                src = Cv2.ImRead(openFileDialog.FileName);
                pictureBox1.Image = OpenCvSharp.Extensions.BitmapConverter.ToBitmap(src);


            }


        }

        private void button2_Click(object sender, EventArgs e)
        {
            if(pictureBox1.Image==null)
            {
                return;
            }
            var resultImg = dm.Inference(src);

            pictureBox2.Image= OpenCvSharp.Extensions.BitmapConverter.ToBitmap(resultImg);



        }
      
          

        private void Form1_Load(object sender, EventArgs e)
        {
            dm.LoadWeights(Application.StartupPath+ "\\weights\\diffusion_low_light_1x3x192x320.onnx");
        }

        private void button3_Click(object sender, EventArgs e)
        {
            VideoCapture capture = new VideoCapture(0);
            if (!capture.IsOpened())
            {
                Console.WriteLine("video not open!");
                return;
            }
            Mat frame = new Mat();
            var sw = new Stopwatch();
            int fps = 0;
            while (true)
            {

                capture.Read(frame);
                if (frame.Empty())
                {
                    Console.WriteLine("data is empty!");
                    break;
                }
                sw.Start();
                var resultImg = dm.Inference(frame);
                sw.Stop();
                fps = Convert.ToInt32(1 / sw.Elapsed.TotalSeconds);
                sw.Reset();
            
                Cv2.PutText(resultImg, "FPS=" + fps, new OpenCvSharp.Point(30, 30), HersheyFonts.HersheyComplex, 1.0, new Scalar(255, 0, 0), 3);
                //显示结果
                Cv2.ImShow("Result", resultImg);
                int key = Cv2.WaitKey(10);
                if (key == 27)
                    break;
            }

            capture.Release();
        }
    }
}

【视频演示】 

C#winform基于opencvsharp结合Diffusion-Low-Light算法实现低光图像增强黑暗图片变亮变清晰_哔哩哔哩_bilibili【测试环境】vs2019netframework4.7.2opencvsharp==4.8.0onnxruntime==1.16.2更多信息参考：, 视频播放量 1、弹幕量 0、点赞数 0、投硬币枚数 0、收藏人数 0、转发人数 0, 视频作者 未来自主研究中心, 作者简介 未来自主研究中心，相关视频：AI视频换脸真的快变态死了！！！，火了 ！全网首个秋叶aaaki【SDV4.9超强版本炸裂更新】感谢秋枼大佬的SDV4.9整合包+sd教程超强模型插件，【可灵AI】无头人女明星，C#调用yolov7进行目标检测winform开发，YOLOv8检测界面-PyQt5实现，渐冻症患者利用脑机接口"说话"，全家人泪流满面，马斯克发布了一条AI生成的视频，C# winform使用onnxruntime部署LYT-Net轻量级低光图像增强算法，C#实现全网yolov7目前最快winform目标检测，C#使用纯OpenCvSharp部署yolov8-pose姿态识别

https://www.bilibili.com/video/BV1RZpRewE96/

【源码下载地址】