CSharp: Image Matting

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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

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/// <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

 

 

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//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);        }    }

　　

 

 

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/// <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; }

　　

　https://darkcl.github.io/2017/01/24/background-removal/  C++

https://github.com/darkcl/Background-Removal-Example  C++