CSharp: Image Matting

using System;
using System.Collections.Generic;
using System.Linq;
using System.Web;
using System.Web.UI;
using System.Web.UI.WebControls;
using System.Windows.Media.Imaging; //PresentationCore  //WindowsBase
using System.Windows.Media;
using Newtonsoft.Json;
using Newtonsoft.Json.Linq;
using System.Net;
using System.IO;
using System.Net.Http;
using System.Text;

public partial class Default2 : System.Web.UI.Page
{

    /// <summary>
    /// 2020-12-26 涂聚文(Geovin Du)
    /// 人像抠图 百度AI的API
    /// </summary>
    /// <param name="sender"></param>
    /// <param name="e"></param>
    protected void Page_Load(object sender, EventArgs e)
    {
        JsonSerializerSettings settings = new JsonSerializerSettings();
        //
        string sToken = AccessToken.getAccessToken();
        JToken st = JToken.Parse(sToken);
        JObject jsonst = JObject.Parse(sToken);
        BaiduAITokenData we = JsonConvert.DeserializeObject<BaiduAITokenData>(sToken);
        //Response.Write(we.access_token+"<br/><br/>");
        //
        string sResult = body_seg();
        JToken jt = JToken.Parse(sResult);
        JObject jsonimg = JObject.Parse(sResult);


        BaiduAIBody body = JsonConvert.DeserializeObject<BaiduAIBody>(sResult);
        // Bitmap bmp = GetImageFromBase64(body.foreground);
        this.Image1.ImageUrl = "data:image/png;base64," + body.foreground;  //data:image/jpeg;base64,

        this.Image2.ImageUrl = "data:image/png;base64," + body.scoremap;
        //BitmapImage bmp = parseImageFromBase64(body.foreground);
        

    }
    /// <summary>
    /// 
    /// </summary>
    /// <param name="fileName"></param>
    /// <returns></returns>
    public String getFileBase64(String fileName)
    {
        FileStream filestream = new FileStream(fileName, FileMode.Open);
        byte[] arr = new byte[filestream.Length];
        filestream.Read(arr, 0, (int)filestream.Length);
        string baser64 = Convert.ToBase64String(arr);
        filestream.Close();
        return baser64;
    }
    /// <summary>
    /// 人像图获取
    /// </summary>
    /// <returns></returns>
    public string body_seg()
    {
        string token = AccessToken.TOKEN;// AccessToken.getAccessToken();// "[调用鉴权接口获取的token]";
        string sToken = AccessToken.getAccessToken();
        JToken st = JToken.Parse(sToken);
        JObject jsonst = JObject.Parse(sToken);
        BaiduAITokenData we = JsonConvert.DeserializeObject<BaiduAITokenData>(sToken);
        //Response.Write(token + "<br/>");
        string host = "https://aip.baidubce.com/rest/2.0/image-classify/v1/body_seg?access_token=" + we.access_token;
        Encoding encoding = Encoding.ASCII;
        HttpWebRequest request = (HttpWebRequest)WebRequest.Create(host);
        request.Method = "post";
        request.ContentType = "application/x-www-form-urlencoded";
        request.KeepAlive = true;
        string file = Server.MapPath("Images/涂聚文1.jpg");
        // 图片的base64编码
        string base64 = getFileBase64(file);
        String str = "image=" + HttpUtility.UrlEncode(base64);//
        byte[] buffer = encoding.GetBytes(str);
        request.ContentLength = buffer.Length;
        request.GetRequestStream().Write(buffer, 0, buffer.Length);
        HttpWebResponse response = (HttpWebResponse)request.GetResponse();
        StreamReader reader = new StreamReader(response.GetResponseStream(), Encoding.ASCII);
        string result = reader.ReadToEnd();
        Console.WriteLine("人像分割:");
        Console.WriteLine(result);
        //Response.Write(result);
        return result;
    }
    /// <summary>
    /// 
    /// </summary>
    /// <param name="sBase64"></param>
    /// <returns></returns>
    BitmapImage parseImageFromBase64(string sBase64)
    {

        char[] c = sBase64.ToCharArray();// Properties.Resources.testImgData .ToCharArray();
        byte[] buffer = System.Convert.FromBase64CharArray(c, 0, c.Length);
        MemoryStream m = new MemoryStream(buffer);
        m.Position = 0;
        BitmapImage bmp = new BitmapImage();
        bmp.BeginInit();
        bmp.StreamSource = m;
        bmp.EndInit();       
        return bmp;
    }

}

  百度AI开放平台-人像分割: http://ai.baidu.com/tech/body/seg

 

 https://github.com/emgucv/emgucv  C#

https://github.com/opencv/opencv_extra C++

https://github.com/opencv/opencv

https://pypi.tuna.tsinghua.edu.cn/simple/opencv-python/  Python

    /// <summary>
    /// 图像文件转Base64 Geovin Du
    /// </summary>
    /// <param name="filepath"></param>
    /// <returns></returns>
    public string ImageToBase64(string filepath)
    {
        string base64String = string.Empty;
        try
        { 
               // string path = "D:\SampleImage.jpg";
                using (System.Drawing.Image image = System.Drawing.Image.FromFile(filepath))
                {
                    using (MemoryStream m = new MemoryStream())
                    {
                        image.Save(m, image.RawFormat);
                        byte[] imageBytes = m.ToArray();
                        base64String = Convert.ToBase64String(imageBytes);
                        return base64String;
                    }
                }
        }
        catch(Exception ex)
        {
            ex.Message.ToString();
        }
        return base64String;
    }
    /// <summary>
    /// Base64转image
    /// </summary>
    /// <param name="base64String"></param>
    /// <returns></returns>
    public System.Drawing.Image Base64ToImage(string base64String)
    {
        byte[] imageBytes = Convert.FromBase64String(base64String);
        MemoryStream ms = new MemoryStream(imageBytes, 0, imageBytes.Length);
        ms.Write(imageBytes, 0, imageBytes.Length);
        System.Drawing.Image image = System.Drawing.Image.FromStream(ms, true);
        return image;
    }

 Background Removal API  https://www.remove.bg/zh/g/developers

https://github.com/brilam/remove-bg  python

https://github.com/mtownsend5512/remove-bg php

https://github.com/remove-bg/go  go

https://github.com/remove-bg

                  //https://www.remove.bg/zh/api
                   HttpClient client = new HttpClient();
                 // using (client = new HttpClient());
                    //
                    using (var formData = new MultipartFormDataContent())
                    {
                        formData.Headers.Add("X-Api-Key", "geovindu 涂聚文 Geovin Du");
                        formData.Add(new ByteArrayContent(File.ReadAllBytes(Server.MapPath("Images/pdf.jpg"))), "image_file", Server.MapPath("Images/2.jpg"));
                        formData.Add(new StringContent("auto"), "size");////preview,full,auto,regular
                        var response = client.PostAsync("https://api.remove.bg/v1.0/removebg", formData).Result;

                        if(response.IsSuccessStatusCode) {
                            FileStream fileStream = new FileStream(Server.MapPath("Images/geovindu_no-bg.png"), FileMode.Create, FileAccess.Write, FileShare.None);
                            response.Content.CopyToAsync(fileStream).ContinueWith((copyTask) =>{ fileStream.Close(); });
                        } else {
                            Console.WriteLine("Error: " + response.Content.ReadAsStringAsync().Result);
                        }
                    }

  

 

        /// <summary>
        /// 改换背景色
        /// 把人像填色>150,<150 把背景色填写了
        /// </summary>
        /// <param name="scrBitmap"></param>
        /// <param name="newColor">改为新的背景色</param>
        /// <returns></returns>
        public static Bitmap ChangeColor(Bitmap scrBitmap,Color newColor)
        {

            //https://stackoverflow.com/questions/17208254/how-to-change-pixel-color-of-an-image-in-c-net
            //You can change your new color here. Red,Green,LawnGreen any..
           // Image imggree = Image.FromFile("green1.jpg");
           // Bitmap grebt = new Bitmap(imggree);
           //得到背景色(从坐标1,1得到)
           // Color greenColor = grebt.GetPixel(1, 1);
            //Color newColor = greenColor;// Color.Green;
            Color actualColor;
            //actualColor = scrBitmap.GetPixel(1, 1);
            //make an empty bitmap the same size as scrBitmap
            Bitmap newBitmap = new Bitmap(scrBitmap.Width, scrBitmap.Height);

            for (int i = 0; i < scrBitmap.Width; i++)
            {
                for (int j = 0; j < scrBitmap.Height; j++)
                {
                    //get the pixel from the scrBitmap image
                   actualColor = scrBitmap.GetPixel(i, j);

                    // > 150 because.. Images edges can be of low pixel colr. if we set all pixel color to new then there will be no smoothness left.
                    if (actualColor.A < 150)  //>150 人像改了颜色
                        newBitmap.SetPixel(i, j, newColor);
                    else
                        newBitmap.SetPixel(i, j, actualColor);
                }

            }

            return newBitmap;
        }

  

 

原文地址:https://www.cnblogs.com/geovindu/p/14191320.html