WA onboarding

Methodology:

• (you can see my process in detail in the jupyter notebook)
• I divided the problem into parts:
  • identidying the cones
  • getting their positions
  • drawing the lines across them
• I resized the image to so that the height is always 400px and the aspect ratio is preserved
• identifying the cone became easy once I filtered the image by the color red and brightness
• after that I found the pixel positions of the cones by checking specific pixel arrangements
• then I calculates the tan values for all combinations of 2 points with angles which are more than 45 degrees
• I take average of the tan values and draw the lines
• I then draw the lines on the original image and save it

answer.png

What did I try and why do I think it did not work.

• I faced some errors while trying to find the cone positions but once I wrote out my specific algorithm, I was able to get it to work
• I think I did not use the opencv library to its fullest and ended up writing code that already exists, it is my first time using opencv so I hope to learn more about the functionality it provides by using it more

Libraries used:

• opencv
• math
• numpy
• matplotlib

Improvements Possible:

• accomadating for false positives in cone detection
• accomadating for abnormal angles in lines