/************************************************************************************************************ Execution Kernel *************************************************************************************************************/ static vx_status VX_CALLBACK CV_sepFilter2D_Kernel(vx_node node, const vx_reference *parameters, vx_uint32 num) { vx_status status = VX_SUCCESS; vx_image image_in = (vx_image) parameters[0]; vx_image image_out = (vx_image) parameters[1]; vx_scalar scalar = (vx_scalar) parameters[2]; vx_matrix KERNELX = (vx_matrix) parameters[3]; vx_matrix KERNELY = (vx_matrix) parameters[4]; vx_scalar A_X = (vx_scalar) parameters[5]; vx_scalar A_Y = (vx_scalar) parameters[6]; vx_scalar DELTA = (vx_scalar) parameters[7]; vx_scalar BORDER = (vx_scalar) parameters[8]; Mat *mat, bl; int ddepth, a_x = -1, a_y = -1, border = 4; float delta = 0; vx_int32 value = 0; vx_float32 value_f = 0; //Extracting Values from the Scalar into Ksize and Ddepth STATUS_ERROR_CHECK(vxReadScalarValue(scalar, &value)); ddepth = value; STATUS_ERROR_CHECK(vxReadScalarValue(A_X, &value)); a_x = value; STATUS_ERROR_CHECK(vxReadScalarValue(A_Y, &value)); a_y = value; STATUS_ERROR_CHECK(vxReadScalarValue(DELTA, &value_f)); delta = value_f; STATUS_ERROR_CHECK(vxReadScalarValue(BORDER, &value)); border = value; //Converting VX Image to OpenCV Mat STATUS_ERROR_CHECK(match_vx_image_parameters(image_in, image_out)); STATUS_ERROR_CHECK(VX_to_CV_Image(&mat, image_in)); //Compute using OpenCV Point point; point.x = a_x; point.y = a_y; Mat *kernelX, *kernelY; STATUS_ERROR_CHECK(VX_to_CV_MATRIX(&kernelX, KERNELX)); STATUS_ERROR_CHECK(VX_to_CV_MATRIX(&kernelY, KERNELY)); cv::sepFilter2D(*mat, bl, ddepth, *kernelX, *kernelY, point, delta, border); //Converting OpenCV Mat into VX Image STATUS_ERROR_CHECK(CV_to_VX_Image(image_out, &bl)); return status; }
/************************************************************************************************************ Execution Kernel *************************************************************************************************************/ static vx_status VX_CALLBACK CV_warpPerspective_Kernel(vx_node node, const vx_reference *parameters, vx_uint32 num) { vx_status status = VX_SUCCESS; vx_image image_in = (vx_image) parameters[0]; vx_image image_out = (vx_image) parameters[1]; vx_matrix KERNEL = (vx_matrix) parameters[2]; vx_scalar A_X = (vx_scalar) parameters[3]; vx_scalar A_Y = (vx_scalar) parameters[4]; vx_scalar FLAGS = (vx_scalar) parameters[5]; vx_scalar BORDER = (vx_scalar) parameters[6]; Mat *mat, bl; int flags; int a_x = -1, a_y = -1, border = 4; vx_int32 value = 0; //Extracting Values from the Scalar into Ksize and Ddepth STATUS_ERROR_CHECK(vxReadScalarValue(FLAGS, &value)); flags = value; STATUS_ERROR_CHECK(vxReadScalarValue(A_X, &value)); a_x = value; STATUS_ERROR_CHECK(vxReadScalarValue(A_Y, &value)); a_y = value; STATUS_ERROR_CHECK(vxReadScalarValue(BORDER, &value)); border = value; //Converting VX Image to OpenCV Mat STATUS_ERROR_CHECK(match_vx_image_parameters(image_in, image_out)); STATUS_ERROR_CHECK(VX_to_CV_Image(&mat, image_in)); //Compute using OpenCV Mat *M; STATUS_ERROR_CHECK(VX_to_CV_MATRIX(&M, KERNEL)); cv::warpPerspective(*mat, bl, *M, Size(a_x, a_y), flags, border); //Converting OpenCV Mat into VX Image STATUS_ERROR_CHECK(CV_to_VX_Image(image_out, &bl)); return status; }