Lyft perception challenge

Author : yuvaram singh Email : [email protected]

This document provides the necessary steps to run My trained model through the grader program provided by Udacity for lyft perception challenge . since i am not eligible for Lyft job interview (Not having US work permit) , i am looking to be a part of intensive career preparation seminar and other relevant job opportunities .

Instructions to Run

• Step 1 : open up a terminal inside the workspace (change directory if you are not inside the workspace)
• Step 2 : Run.—- ./preinstall_script.sh
• Step 3 : change directory into test/code.—------ cd test/code
• Step 4 : Run my model through this code —- grader 'python final_sub.py'

File structure

inside the folder test , you can find two folders namely code and model . the code folder consist of the inference code which can take in the video path as an argument , load in the model , perform inference and provide the required output . the code is designed in a way to load the correct model from the model folder . it is required to not change the folder structure since the model path inside the code is hard-coded . test —(code,model)

Note : please see the terminal.png image to check the working of the above cmds