happynear / AMSoftmax

A simple yet effective loss function for face verification.

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Alignment of the image in realtime

robosina opened this issue · comments

I want to test caffemodel on the the real world problem, so I use mtcnn landmarks and align image like the below:
`

 Mat transform(Mat image,                 //cropped face image
                       vector<Point2f> dst)  //dst are the landmark of the face
 {
  float image_height=96.0/image.cols;
  float image_width=112.0/image.rows;
  for (int i = 0; i < dst.size(); ++i)
  {
      dst[i].y*=image_height;          //in this line I will scale the points to the new size of image(96,112)
      dst[i].x*=image_width;
  }
  cv::resize(image,image,Size(96,112));
  vector<Point2f> src;
  src.push_back(Point2f(30.2946,51.6963));
  src.push_back(Point2f(65.5318,51.5014));
  src.push_back(Point2f(48.0252,71.7366));
  src.push_back(Point2f(33.5493,92.3655));
  src.push_back(Point2f(62.7299,92.2041));


  cv::Mat R = cv::estimateRigidTransform(dst,src,false);
  Mat out;
  cv::warpAffine(image,out,R,Size(96,112));
  return out;
}

`

what I got is something like the below image

image

As you can see there is a black area in the top and rights side of the image, So I'm confused that is this normal?