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Merge branch 'dev' of http://8.153.108.90:3000/YD/Wpf_AiSportsMicrospace into dev

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ltx 2026-03-05 14:04:23 +08:00
commit 183b18eb1b
1 changed files with 57 additions and 52 deletions
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Wpf_AiSportsMicrospace/Common/Utils.cs
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@ -215,73 +215,78 @@ namespace Wpf_AiSportsMicrospace.Common
LoadGifToCache(relativePath); LoadGifToCache(relativePath);
return _cache.GetValueOrDefault(relativePath); return _cache.GetValueOrDefault(relativePath);
} }
public static List<StudentInfoDto> FacialRecognition(byte[] buffer, double[] xNorms) public static List<StudentInfoDto> FacialRecognition(byte[] buffer, double[] xNorms)
{ {
if (xNorms == null || xNorms.Length == 0) try
throw new ArgumentException("xNorms 不能为空");
using var image = SharpImage.Image.Load<Rgba32>(buffer);
int imgWidth = image.Width;
int imgHeight = image.Height;
int rectHeight = imgHeight / 2;
// 1. 排序中心点
var sortedX = xNorms.OrderBy(x => x).ToList();
int faceCount = sortedX.Count;
// 2. 计算分割边界
var splitXs = new List<double>();
for (int i = 0; i < sortedX.Count - 1; i++)
splitXs.Add((sortedX[i] + sortedX[i + 1]) / 2.0);
// 3. 起止边界
splitXs.Insert(0, 0.0);
splitXs.Add(1.0);
// 4. 输出目录
string imgDir = Path.Combine(AppContext.BaseDirectory, "img");
Directory.CreateDirectory(imgDir);
var studentInfos = new List<StudentInfoDto>();
// 5. 循环裁剪 + 同步识别
for (int i = 0; i < faceCount; i++)
{ {
double xStart = splitXs[i]; if (xNorms == null || xNorms.Length == 0)
double xEnd = splitXs[i + 1]; return null; // 不再抛异常，直接返回 null
int x1 = (int)(xStart * imgWidth); using var image = SharpImage.Image.Load<Rgba32>(buffer);
int x2 = (int)(xEnd * imgWidth);
int w = Math.Max(1, x2 - x1);
var cropRect = new Rectangle(x1, 0, w, rectHeight); int imgWidth = image.Width;
int imgHeight = image.Height;
int rectHeight = imgHeight / 2;
using var cropped = image.Clone(ctx => ctx.Crop(cropRect)); // 1. 排序中心点
var sortedX = xNorms.OrderBy(x => x).ToList();
int faceCount = sortedX.Count;
using var ms = new MemoryStream(); // 2. 计算分割边界
cropped.Save(ms, new JpegEncoder()); var splitXs = new List<double>();
ms.Position = 0; for (int i = 0; i < sortedX.Count - 1; i++)
splitXs.Add((sortedX[i] + sortedX[i + 1]) / 2.0);
string imgPath = Path.Combine(imgDir, $"crop_{i + 1}_{DateTime.Now:HHmmssfff}.jpg"); // 3. 起止边界
File.WriteAllBytes(imgPath, ms.ToArray()); splitXs.Insert(0, 0.0);
splitXs.Add(1.0);
string base64 = Convert.ToBase64String(ms.ToArray()); // 4. 输出目录
string imgDir = Path.Combine(AppContext.BaseDirectory, "img");
Directory.CreateDirectory(imgDir);
Console.WriteLine($"[{i + 1}] 范围: {xStart:0.00}-{xEnd:0.00}, 宽: {w}"); var studentInfos = new List<StudentInfoDto>();
// === 同步调用人脸识别接口 === // 5. 循环裁剪 + 同步识别
var result = FaceRecognitionAsync(base64); for (int i = 0; i < faceCount; i++)
{
double xStart = splitXs[i];
double xEnd = splitXs[i + 1];
if (result != null) int x1 = (int)(xStart * imgWidth);
studentInfos.Add(result); int x2 = (int)(xEnd * imgWidth);
int w = Math.Max(1, x2 - x1);
var cropRect = new Rectangle(x1, 0, w, rectHeight);
using var cropped = image.Clone(ctx => ctx.Crop(cropRect));
using var ms = new MemoryStream();
cropped.Save(ms, new JpegEncoder());
ms.Position = 0;
string imgPath = Path.Combine(imgDir, $"crop_{i + 1}_{DateTime.Now:HHmmssfff}.jpg");
File.WriteAllBytes(imgPath, ms.ToArray());
string base64 = Convert.ToBase64String(ms.ToArray());
Console.WriteLine($"[{i + 1}] 范围: {xStart:0.00}-{xEnd:0.00}, 宽: {w}");
var result = FaceRecognitionAsync(base64);
if (result != null)
studentInfos.Add(result);
}
return studentInfos;
}
catch (Exception ex)
{
Console.WriteLine($"FacialRecognition 异常: {ex.Message}");
return null;
} }
return studentInfos;
} }
/// <summary> /// <summary>
/// 调用人脸识别接口，返回学生信息 /// 调用人脸识别接口，返回学生信息
/// </summary> /// </summary>