CPPND: Capstone Hot Dog Detector in a video feed

This program detects hot dogs in videos (at least it tries as hard as it can).

Here is a rundown on the project's structure:

/src/

    main.cpp              - the starting point and detection logic
    Model.h               - Class that creates a neural network from the Yolo3
    Model.cpp               trained dataset and works with that network
    Detector.h            - Class that process video frames
    Detector.cpp            and opens a video file

/data/

    coco.names            - classifier labels for Yolo3
    hotdogs.mp4           - input video file
    yolov3-tiny.cfg       - Yolo3 configuration
    yolov3-tiny.weights   - Yolo3 trained network

Rubrics I addressed in this project:

• README
• Compiling and testing
• Loops, Functions, I/O
  • The project reads data from a file and process the data: main.cpp:19, model.cpp:15
• Object Oriented Programming
  • The project uses Object Oriented Programming techniques: Detector.h, Model.h
  • Classes use appropriate access specifiers for class members: Detector.h:7, Detector.h:13, Model.h:7, Model.h:15
  • Class constructors utilize member initialization lists: Detector.h:8, Model.cpp:5
  • Classes abstract implementation details from their interfaces: Detector.h, Detector.cpp, Model.h, Model.cpp
• Memory Management
  • The project makes use of references in function declarations: Detector.h:11, Model.h:11

Dependencies for Running Locally

• cmake >= 3.7
  • All OSes: click here for installation instructions
• make >= 4.1 (Linux, Mac), 3.81 (Windows)
  • Linux: make is installed by default on most Linux distros
  • Mac: install Xcode command line tools to get make
  • Windows: Click here for installation instructions
• OpenCV >= 4.1
  • The OpenCV 4.1.0 source code can be found here
• gcc/g++ >= 5.4
  • Linux: gcc / g++ is installed by default on most Linux distros
  • Mac: same deal as make - install Xcode command line tools
  • Windows: recommend using MinGW

Basic Build Instructions

1. Clone this repo.
2. Make a build directory in the top level directory: mkdir build && cd build
3. Compile: cmake .. && make
4. Run it: ./hotdog_video_detector