<?php

use CV\Scalar, CV\Size;
use function CV\{imread, imwrite, rectangle};


$imgname = 'doctor';
$filetype = '.jpg';
$imgfile = $imgname.$filetype;
$src = imread("images/".$imgfile);
$size = $src->size(); // 2000x500

$minSide = min($size->width, $size->height);
$divider = $minSide / 300;
\CV\resize($src, $resized, new Size($size->width / $divider, $size->height / $divider)); // 1200x300

$blob = \CV\DNN\blobFromImage($resized, 1, new Size(), new Scalar(104, 177, 123), true, false);

$net = \CV\DNN\readNetFromCaffe('models/ssd/res10_300x300_ssd_deploy.prototxt', 'models/ssd/res10_300x300_ssd_iter_140000.caffemodel');

$net->setInput($blob, "");

$r = $net->forward();

var_export($r->shape);

$width = 413;
$height = 626;

// $scalar = new Scalar(0, 0, 255);
// $scalar = new Scalar(255, 0, 0);
$scalar = new Scalar(0, 253, 255);
$scalarCut = new Scalar(253, 95, 47);
for ($i = 0; $i < $r->shape[2]; $i++) {
    $confidence = $r->atIdx([0,0,$i,2]);
    if ($confidence > 0.9) {
        var_export($confidence);echo "\n";
        $startX = $r->atIdx([0,0,$i,3]) * $src->cols;##宽X
        $startY = $r->atIdx([0,0,$i,4]) * $src->rows;##高Y
        $endX = $r->atIdx([0,0,$i,5]) * $src->cols;##w
        $endY = $r->atIdx([0,0,$i,6]) * $src->rows;##h

        ##裁切外边框
        // $zone = [];
        // $a =  $startX;//宽
        // $b =  $startY;//高
        // $offSetLeft = $a/4;//x偏移
        // $offSetTop = $b*0.5;
        // $zone['x'] = $endX-$offSetLeft;
        // $zone['y'] = $endY-$offSetTop;
        // $zone['w'] = $a/4 *2+$a;
        // $zone['h'] = $zone['w']*($height*1.0/$width);

        // $cutX = $zone['x'];
        // $cutY = $zone['y'];
        // $cutEndX = $zone['w'];
        // $cutEndY = $zone['h'];

        // $cutX = $startX-275;
        // $cutY  = $startY-200;
        // $cutEndX  = $endX+413;
        // $cutEndY = $endY+626;        

        $cutX = $startX/1.5;
        $cutY  = $startY/1.5;
        $cutEndX  = $endX+413;
        $cutEndY = $endY+626;

        // Rect zone;
        // int a= faceRect.width;//宽
        // int b= faceRect.height;//高
        // int offSetLeft=a/4;//x偏移
        // int offSetTop=b*0.5;
        // zone.x=faceRect.x-offSetLeft;
        // zone.y=faceRect.y-offSetTop;
        // zone.width= a/4 *2+a;
        // zone.height=zone.width*(height*1.0/width);
        rectangle($src, $startX, $startY, $endX, $endY, $scalar, 3);
        rectangle($src, $cutX, $cutY, $cutEndX, $cutEndY, $scalarCut, 5);

        // Mat srcMat;//图片源矩阵
        // bitmap2Mat(env, bitmap, &srcMat);//图片源矩阵初始化
        // auto faces = FaceDetector::detectorFace(srcMat);//识别图片源矩阵，返回矩形集
        // Rect faceRect= faces[0];
        // rectangle(srcMat, faceRect, Scalar(0, 253, 255), 5);//在srcMat上画矩形
        // //识别目标区域区域---------------------------
        // Rect zone;
        // int a= faceRect.width;//宽
        // int b= faceRect.height;//高
        // int offSetLeft=a/4;//x偏移
        // int offSetTop=b*0.5;
        // zone.x=faceRect.x-offSetLeft;
        // zone.y=faceRect.y-offSetTop;
        // zone.width= a/4 *2+a;
        // zone.height=zone.width*(height*1.0/width);
        // rectangle(srcMat, zone, Scalar(253, 95, 47), 5);//在srcMat上画矩

        
    }
}


$data = [];

$time = date("Y-mdHis");
$resImg = $imgname.$time.$filetype;
var_export($resImg);echo "\n";
imwrite("results/".$resImg, $src);


// function GetImageRect($IplImage, $orgImage, $CvRect,$rectInImage, $IplImage,$imgRect,$scale)
// {
//     //从图像orgImage中提取一块（rectInImage）子图像imgRect
//     IplImage *result=imgRect;
//     CvRect size;
//     size.x=rectInImage.x*scale;
//     size.y=rectInImage.y*scale;
//     size.width=rectInImage.width*scale;
//     size.height=rectInImage.height*scale;
     
//     //result=cvCreateImage( size, orgImage->depth, orgImage->nChannels );
//     //从图像中提取子图像
//     cvSetImageROI(orgImage,size);
//     cvCopy(orgImage,result);
//     cvResetImageROI(orgImage);
// }

// void GetImageRect(IplImage* orgImage, CvRect rectInImage, IplImage* imgRect,double scale)
// {
//     //从图像orgImage中提取一块（rectInImage）子图像imgRect
//     IplImage *result=imgRect;
//     CvRect size;
//     size.x=rectInImage.x*scale;
//     size.y=rectInImage.y*scale;
//     size.width=rectInImage.width*scale;
//     size.height=rectInImage.height*scale;
     
//     //result=cvCreateImage( size, orgImage->depth, orgImage->nChannels );
//     //从图像中提取子图像
//     cvSetImageROI(orgImage,size);
//     cvCopy(orgImage,result);
//     cvResetImageROI(orgImage);
// }