毕设&课设&项目&实训-离线人脸检测,人脸对齐,人脸识别Demo, .zip

# NSeetaface ## Library * [Seetaface](https://github.com/iarray/SeetaFaceEngine.Net) * [Seetaface .NetDemo](https://github.com/iarray/SeetaFaceEngine.Net) * [OpenCV 2.4.12](https://opencv.org/releases.html) ## Download the face models * FaceAlignment: https://github.com/seetaface/SeetaFaceEngine/tree/master/FaceAlignment/model * FaceDetection: https://github.com/seetaface/SeetaFaceEngine/tree/master/FaceDetection/model * FaceIdentification: https://github.com/seetaface/SeetaFaceEngine/tree/master/FaceIdentification/model ## Use Code Sample: Init 初始化 string path = @"d:\model\"; //face models directory path SeetafaceHelper.SetModelDirectory(Encoding.Default.GetBytes(path)); SeetafaceHelper.Init(); FaceDetect 人脸检测 SeetafaceHelper.DetectFaces( string imagePath, StringBuilder detectJsonResult ); FaceAlignment 人脸对齐 SeetafaceHelper.Alignment( string imagePath, StringBuilder alignmentResult ); ExtractFeature 提取特征 SeetafaceHelper.ExtractFeature(string imagePath, AlignmentResult alignmentResult, float[] feats); Calculating Similarity 计算相似度 float[] feat1 = new floar[2048]; float[] feat2 = new floar[2048]; SeetafaceHelper.ExtractFeature(@"d:\1.jpg", alignmentResult, feat1); SeetafaceHelper.ExtractFeature(@"d:\2.jpg", alignmentResult, feat2); double sim = SeetafaceHelper.CalcSimilarity(feat1, feat2) if(sim > 0.6){ //..... } ## running result 运行结果