Perception Challenge

answer.png

Below is the output image with boundary lines drawn, saved as answer.png:

Methodology

1. Load Image: Use OpenCV to load the input image.
2. Color Detection: Identify pixels that match the color range of the red cones.
3. Coordinate Extraction: Extract coordinates of the identified red pixels.
4. Density Calculation: Compute the density of x and y coordinates to group the detected cones.(Unneccesary)
5. Boundary Lines: Draw boundary lines based on the grouped cone coordinates.
6. Display Image: Show the annotated image.

What did you try and why do you think it did not work?

• Attempt 1: Linearizing from two points. This method was not accurate due to the variability in cone placement and potential noise in the image.
• Attempt 2, Part 1: Using density and mean to find all cones. This approach was too complex and unnecessary for the task at hand.
• Attempt 2, Part 2: Realized it was sufficient to identify the last line of densities on the left and right sides to determine the boundary lines, making the process more efficient and accurate.

What libraries are used

• OpenCV: For image processing and computer vision tasks.
• NumPy: For array operations and numerical computations.