Learning Tensorflow

Use colab.research.google.com for learning TensorFlow and Deep Learning

YUV Pixel Values

Y	U/ Cb	V/ Cr	color	notes
0x00	0x00	0x00
0x00	0x00	0xFF
0x00	0xFF	0x00
0x00	0xFF	0xFF
0xFF	0x00	0x00		full green
0xFF	0x00	0xFF
0xFF	0xFF	0x00
0xFF	0xFF	0xFF
0x00	0x80	0x80		full black
0x80	0x80	0x80
0xFF	0x80	0x80		full white

Courtesy: https://multimedia.cx/eggs/yuv-and-rgb/

Google Test Tutorial

Building Google Test from source

git clone https://github.com/google/googletest
cd googletest
mkdir build
cd build
cmake ..
make
sudo make install

Writing GTest

mkdir example01
cd example01

squareroot.h

#include

double squareRoot(const double a) {
    double b = sqrt(a);
    if(b != b) { // nan check
        return -1.0;
    }else{
        return sqrt(a);
    }
}

tests.cpp

#include "squareroot.h"
#include

TEST(SquareRootTest, PositiveNos) { 
    ASSERT_EQ(6, squareRoot(36.0));
    ASSERT_EQ(18.0, squareRoot(324.0));
    ASSERT_EQ(25.4, squareRoot(645.16));
    ASSERT_EQ(0, squareRoot(0.0));
}

TEST(SquareRootTest, NegativeNos) {
    ASSERT_EQ(-1.0, squareRoot(-15.0));
    ASSERT_EQ(-1.0, squareRoot(-0.2));
}

int main(int argc, char **argv) {
    testing::InitGoogleTest(&argc, argv);
    return RUN_ALL_TESTS();
}

CMakeLists.txt

cmake_minimum_required(VERSION 2.6)

# Locate GTest
find_package(GTest REQUIRED)
include_directories(${GTEST_INCLUDE_DIRS})

# Link runTests with what we want to test and the GTest and pthread library
add_executable(runTests tests.cpp)
target_link_libraries(runTests ${GTEST_LIBRARIES} pthread)

Building GTest

mkdir build
cd build
cmake ..
make
./runTests