Confused about the pointer pResults about libfacedetection

[ShiqiYu]

The data structure in pResults is as follows:
int nFaceCount;
short face1_x;
short face1_y;
short face1_width;
short face1_height;
short face1_neightbors;
short face1_angle;
short face1_point1_x;
short face1_point1_y;
...
short face1_point68_x;
short face1_point68_y;
short face2_x;
short face2_y;
short face2_width;
short face2_height;
short face2_neightbors;
short face2_angle;
short face2_point1_x;
short face2_point1_y;
...
short face2_point68_x;
short face2_point68_y;
...

[mrbesen]

is there a document that describes the meaning of each point?

[fengyuentau]

@mrbesen No, but we have comments in samples:

libfacedetection/example/detect-image.cpp

Lines 106 to 111 in 9ffcaef

	//draw five face landmarks in different colors
	cv::circle(result_image, cv::Point(p[5], p[5 + 1]), 1, cv::Scalar(255, 0, 0), 2);
	cv::circle(result_image, cv::Point(p[5 + 2], p[5 + 3]), 1, cv::Scalar(0, 0, 255), 2);
	cv::circle(result_image, cv::Point(p[5 + 4], p[5 + 5]), 1, cv::Scalar(0, 255, 0), 2);
	cv::circle(result_image, cv::Point(p[5 + 6], p[5 + 7]), 1, cv::Scalar(255, 0, 255), 2);
	cv::circle(result_image, cv::Point(p[5 + 8], p[5 + 9]), 1, cv::Scalar(0, 255, 255), 2);

libfacedetection/opencv_dnn/cpp/priorbox.cpp

Lines 98 to 115 in 9ffcaef

	// get landmarks, loc->[right_eye, left_eye, mouth_left, nose, mouth_right]
	float x_re = (priors[i].x + loc_v[i*14+ 4] * variance[0] * priors[i].width) * out_w;
	float y_re = (priors[i].y + loc_v[i*14+ 5] * variance[0] * priors[i].height) * out_h;
	float x_le = (priors[i].x + loc_v[i*14+ 6] * variance[0] * priors[i].width) * out_w;
	float y_le = (priors[i].y + loc_v[i*14+ 7] * variance[0] * priors[i].height) * out_h;
	float x_n = (priors[i].x + loc_v[i*14+ 8] * variance[0] * priors[i].width) * out_w;
	float y_n = (priors[i].y + loc_v[i*14+ 9] * variance[0] * priors[i].height) * out_h;
	float x_mr = (priors[i].x + loc_v[i*14+10] * variance[0] * priors[i].width) * out_w;
	float y_mr = (priors[i].y + loc_v[i*14+11] * variance[0] * priors[i].height) * out_h;
	float x_ml = (priors[i].x + loc_v[i*14+12] * variance[0] * priors[i].width) * out_w;
	float y_ml = (priors[i].y + loc_v[i*14+13] * variance[0] * priors[i].height) * out_h;
	face.landmarks = {
	{x_re, y_re}, // right eye
	{x_le, y_le}, // left eye
	{x_n, y_n }, // nose
	{x_mr, y_mr}, // mouth right
	{x_ml, y_ml} // mouth left
	};