Develop a Python script using OpenCV to detect red, blue, and green objects in a live video feed. The program should draw bounding boxes around detected objects and display their coordinates.

Color Detection:

$-$ Write a function to process the live video feed frame by frame.

$-$ Implement color detection for red, blue, and green objects. Use the HSV color space for better color segmentation.

$-$ Create masks for each color to isolate objects.

$3.$ Bounding Boxes and Coordinates:

$-$ For each color detected, draw a bounding box around the object.

$-$ Calculate the coordinates $($x$,$ y$)$ of the center of the bounding box.

$-$ Display the coordinates on the live feed, preferably at the top corner of the bounding box.

$4.$ Code Structure:

$-$ Organize your code with functions for modularity and readability.

$-$ Include comments explaining the purpose of each section of the code.

$5.$ Testing $($bonus$)$

$-$ Test the program in various lighting conditions to ensure reliability.

$-$ Adjust the HSV thresholds and algorithms as needed for better performance.

$-$ A Python script $(.$py file$)$ that opens a live video feed, detects red, blue, and green objects, draws bounding boxes around them, and displays their coordinates.

$-$ A brief report documenting your methodology, challenges faced, and how you overcame them.

Evaluation Criteria:

$-$ Accuracy of color detection.

$-$ Efficiency of the bounding box and coordinate display.

$-$ Code quality, including readability and organization.

$-$ Ability to handle different lighting conditions and object sizes.