add DNN::blobFromImages function

opencv.cc

@@ -258,6 +258,7 @@ const zend_function_entry opencv_functions[] = {
     ZEND_NS_NAMED_FE(OPENCV_NS, getPerspectiveTransform, ZEND_FN(opencv_get_perspective_transform), opencv_get_perspective_transform_arginfo)
     ZEND_NS_NAMED_FE(OPENCV_NS, warpPerspective, ZEND_FN(opencv_warp_perspective), opencv_warp_perspective_arginfo)
     ZEND_NS_NAMED_FE(OPENCV_DNN_NS, blobFromImage, ZEND_FN(opencv_dnn_blob_from_image), arginfo_void)
+    ZEND_NS_NAMED_FE(OPENCV_DNN_NS, blobFromImages, ZEND_FN(opencv_dnn_blob_from_images), arginfo_void)
     ZEND_NS_NAMED_FE(OPENCV_DNN_NS, readNetFromCaffe, ZEND_FN(opencv_dnn_read_net_from_caffe), arginfo_void)
     ZEND_NS_NAMED_FE(OPENCV_DNN_NS, readNetFromTorch, ZEND_FN(opencv_dnn_read_net_from_torch), arginfo_void)
     ZEND_NS_NAMED_FE(OPENCV_DNN_NS, readNetFromTensorflow, ZEND_FN(opencv_dnn_read_net_from_tensorflow), arginfo_void)

source/opencv2/dnn/opencv_dnn.cc

@@ -78,6 +78,48 @@ PHP_FUNCTION(opencv_dnn_blob_from_image)
     RETURN_ZVAL(&instance,0,0); //return php Mat object
 }
 
+PHP_FUNCTION(opencv_dnn_blob_from_images)
+{
+    zval *images_zval, *size_zval, *mean_zval;
+    double scalefactor = 1.;
+    bool swapRB = false, crop = false;
+
+    if (zend_parse_parameters(ZEND_NUM_ARGS(), "adOO|bb",
+        &images_zval,
+        &scalefactor,
+        &size_zval, opencv_size_ce,
+        &mean_zval, opencv_scalar_ce,
+        &swapRB,
+        &crop
+    ) == FAILURE) {
+        RETURN_NULL();
+    }
+
+    opencv_size_object *size_object = Z_PHP_SIZE_OBJ_P(size_zval);
+    opencv_scalar_object *mean_object = Z_PHP_SCALAR_OBJ_P(mean_zval);
+
+    HashTable *images_ht = Z_ARRVAL_P(images_zval);
+    std::vector<cv::Mat> images_vec;
+
+    zval *image_zval;
+    ZEND_HASH_FOREACH_VAL(images_ht, image_zval) {
+        if(Z_TYPE_P(image_zval) == IS_OBJECT && Z_OBJCE_P(image_zval)==opencv_mat_ce)
+            images_vec.push_back(*Z_PHP_MAT_OBJ_P(image_zval)->mat);
+    }
+    ZEND_HASH_FOREACH_END();
+
+
+    Mat im = blobFromImages(images_vec, scalefactor, *size_object->size, *mean_object->scalar, swapRB, crop);
+
+    zval instance;
+    object_init_ex(&instance, opencv_mat_ce);
+    opencv_mat_object *new_obj = Z_PHP_MAT_OBJ_P(&instance);
+    new_obj->mat=new Mat(im);
+    opencv_mat_update_property_by_c_mat(&instance, new_obj->mat);
+    RETURN_ZVAL(&instance,0,0); //return php Mat object
+}
+
+
 PHP_FUNCTION(opencv_dnn_read_net_from_torch)
 {
     char *filename;

source/opencv2/dnn/opencv_dnn.h

@@ -28,6 +28,7 @@ extern void opencv_dnn_init(int module_number);
 
 #endif
 PHP_FUNCTION(opencv_dnn_blob_from_image);
+PHP_FUNCTION(opencv_dnn_blob_from_images);
 PHP_FUNCTION(opencv_dnn_read_net_from_torch);
 PHP_FUNCTION(opencv_dnn_read_net_from_caffe);
 PHP_FUNCTION(opencv_dnn_read_net_from_tensorflow);

tests/dnn.phpt

@@ -1,5 +1,5 @@
 --TEST--
-DNN::blobFromImage
+DNN::blobFromImage, DNN:blobFromImages
 --SKIPIF--
 <?php if (!extension_loaded("opencv")) print "skip"; ?>
 --FILE--
@@ -11,8 +11,24 @@ $src = imread("./tests/Obama_gray.png");
 
 $blob = \CV\DNN\blobFromImage($src, 1, new \CV\Size(48, 48), new Scalar(104, 177, 123));
 var_export($blob);
+print PHP_EOL;
+$blob = \CV\DNN\blobFromImages([$src], 1, new \CV\Size(48, 48), new Scalar(104, 177, 123));
+var_export($blob);
 ?>
 --EXPECT--
+CV\Mat::__set_state(array(
+   'type' => 5,
+   'rows' => -1,
+   'cols' => -1,
+   'dims' => 4,
+   'shape' => 
+  array (
+    0 => 1,
+    1 => 3,
+    2 => 48,
+    3 => 48,
+  ),
+))
 CV\Mat::__set_state(array(
    'type' => 5,
    'rows' => -1,