User guide, dev guide, dev log is added

|car_target.py        | Armour Detection                              |

|circle_test.py       | A testing program for circle detection        |

|tool.py              | Supporting file for armour detection program  |

|communicate.py       | Module for communication  with car            |

## Tutorail

### For User:

#### Paramter Setting

<b>MODE:  </b> Running mode, 'D' for debug mode, 'R' for running mode.

<b>SRC:   </b> Image source, 'PIC' for reading from picture, 'CAM' for camera, 'VID' for video

<b>TARGET:</b> Color of target, 'BLUE' detecting blue light bar, 'RED' for detecting red light bar

### For Developer:

#### Fixing Log

1. Return target coordinate from <b>main(mat)</b> and write to microcomputer from writer

2. Resizing the output image to a formal value

3. Match target from camera coordiante to gun coordinate

4. Converte (x,y) to (pitch, yaw)

#### Imporving Point:

1. Coordinate covertion

2. Targeting Mode

3. Robustness : in current algorithm, final target selection is based on pixel numbers. Whichever methods we used for tracking, we cannot keep tracking a car in real competition. The gun will keep switching between different cars because of the disturbance. This problem must be fixed!  

4. Computation Speed : try to eliminate for loop and use matrix operation instead)

## Complete Documentation for Car Target Detection