Assignment 1 - Due date: July 24, 2022
Welcome to WES 237B!
Part 1: Welcome to Jetson TX2
This is the in-lab component. The goal of today's lab is to get familiar with the Jetson TX2 platform.
We are going to use nVidia's official tutorials for this.
The specific, minimum assignment is to get the Object Detection Inference example up and running for person detection. You may do this either using a prerecorded video file, or if you would like a bit of a stretch by configuring a remote live stream from your laptop camera to the Jetson board.
If you finish early, try out some of the other examples to get a feel for the capabilities of the Jetson.
How to Submit: Demo your object detection for course staff, either live in-lab, or later during office hours if needed.
Part 2: Huffman encoder/decoder
Download this starter code.
Write the functions to do basic Huffman encoder and decoder in huffman.cpp.
Use a text file as your input (Note that random input will not benefit from
huffman coding). Your code must work on other text files than the provided
example.
The input of the encoder is the content of the text file, and the output is Huffman tree and Huffman codes.
The input of the decoder is Huffman tree and Huffman codes from the encoder, and the output of the decoder is a text file.
The format you choose for the encoder output is not important so long as it is efficient (compact) and decodes correctly. For example, you can store the frequency of each character (256 total), or you can store haracter-frequency pairs (potentially smaller if only compressing text). Provide a brief explanation of your chosen format in the report.
Modify only the huffman.cpp file.
If you really have to modify another file, do minimal modifications and explain
them in your report.
Work Submission
IMPORTANT: Follow the instructions exactly, and double check your repository, folder, and file names. You may lose points if you do not follow the exact instructions. If you have a doubt or a question, please ask the TAs, preferably on Canvas.
Each team must have a Bitbucket or GitHub repository, Please make sure your repository follows our policies. All of your codes related to assignment 1 must be placed in a folder called Assignment_1 in your repository’s source directory You have to submit these:
A short report named Report.pdf with brief answers to
- Describe your encoding scheme
- Describe any changes you made to the starter code outside of huffman.cpp
- How to compile/run your code?
- Sample output
This should be at the root of the assignment folder.
Do not submit other files than those listed, unless you have a good reason, and explain so in your report.