CMake add BLAS to project - cmake

Question

I'm trying to compile a project with dlib & opencv. I am super new to CMake. It needs a BLAS library included. I have ATLAS installed, I've tried a couple things, but not found any that I can get to work. Is there a way to find a BLAS package installed and add it on Linux (Ubuntu 18.04)? Any help would be much appreciated.
Errors
main.cpp
#include <iostream>
#include <dlib/pixel.h>
#include <dlib/opencv.h>
#include <opencv2/opencv.hpp>
#include <dlib/image_processing.h>
#include <dlib/image_processing/frontal_face_detector.h>
using namespace cv;
using namespace std;
int main(int argc, char** argv)
{
cv::Mat frame, half;
cv::VideoCapture cap;
dlib::array2d<dlib::bgr_pixel> dlibFrame;
try
{
cap.open(2);
}
catch(std::exception& e)
{
std::cout << e.what() << std::endl;
return 1;
}
dlib::frontal_face_detector detector;
try
{
std::vector<dlib::rectangle> faces;
cv::namedWindow("Tracking Window");
while(cap.isOpened())
{
cap >> frame;
cv::resize(frame,half,cv::Size(),0.5,0.5);
dlib::assign_image(dlibFrame,dlib::cv_image<dlib::bgr_pixel>(half));
faces = detector(dlibFrame);
for(size_t i = 0;i < faces.size();++i)
{
auto& r = faces[i];
cv::Rect cvr = cv::Rect(r.left(),r.top(),r.width(),r.height());
cv::rectangle(half,cvr,cv::Scalar(255,0,0),2);
}
cv::imshow("Tracking Window",half);
if(cv::waitKey(1) == 27)
break;
}
}
catch(std::exception& e)
{
cout << e.what() << endl;
return 1;
}
cv::destroyAllWindows();
return 0;
}
CMake
cmake_minimum_required(VERSION 3.0.0)
project(ObjectTracking VERSION 0.1.0)
include(CTest)
enable_testing()
add_executable(ObjectTracking main.cpp)
find_package(BLAS REQUIRED)
find_package(OpenCV REQUIRED)
find_package(dlib REQUIRED)
target_link_libraries(ObjectTracking ${OpenCV_LIBS} dlib ${BLAS_LIBRARIES})
set(CPACK_PROJECT_NAME ${PROJECT_NAME})
set(CPACK_PROJECT_VERSION ${PROJECT_VERSION})
include(CPack)

Answer 1

For Ubuntu 18.04, there are the following packages:
libblas-dev
libbas3
libcblas2
libcublas9.1 (if you have a Nvidia GPU and CUDA?)
I use OpenBLAS, so I'm not positive about which one to use.
An alternative is OpenBLAS. The repo is at: https://github.com/xianyi/OpenBLAS.git
To build it:
git clone https://github.com/xianyi/OpenBLAS.git
cd OpenBLAS
sudo make install
OpenBLAS detects your CPU and creates the appropriate binary.