Difference between revisions of "ECE497 Project - Object Detection w/ DNN"
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== Grading Template == | == Grading Template == | ||
I'm using the following template to grade. Each slot is 10 points. | I'm using the following template to grade. Each slot is 10 points. | ||
| − | 0 = Missing, 5=OK, 10=Wow! | + | 0 = Missing, 5=OK, 10=Wow!! |
<pre style="color:red"> | <pre style="color:red"> | ||
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Picture that summarizes the project. | Picture that summarizes the project. | ||
| − | + | We are using tensorflow and OpenCV to detect and track items in the frame of a camera | |
Give two sentences telling what works. | Give two sentences telling what works. | ||
| − | Give two sentences telling what isn't working | + | Give two sentences telling what isn't working: literally nothing works right |
End with a two sentence conclusion. | End with a two sentence conclusion. | ||
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Give some concluding thoughts about the project. Suggest some future additions that could make it even more interesting. | Give some concluding thoughts about the project. Suggest some future additions that could make it even more interesting. | ||
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Revision as of 08:57, 17 October 2019
Team members: [Paul Wilda, Leela Pakanati]
Contents
Grading Template
I'm using the following template to grade. Each slot is 10 points. 0 = Missing, 5=OK, 10=Wow!!
00 Executive Summary 00 Installation Instructions 00 User Instructions 00 Highlights 00 Theory of Operation 00 Work Breakdown 00 Future Work 00 Conclusions 00 Demo 00 Late Comments: I'm looking forward to seeing this. Score: 10/100
(Inline Comment)
Executive Summary
Picture that summarizes the project.
We are using tensorflow and OpenCV to detect and track items in the frame of a camera
Give two sentences telling what works.
Give two sentences telling what isn't working: literally nothing works right
End with a two sentence conclusion.
The sentence count is approximate and only to give an idea of the expected length.
Packaging
If you have hardware, consider Small Build, Big Execuition for ideas on the final packaging.
Installation Instructions
Give step by step instructions on how to install your project.
- Include your github path as a link like this to the read-only git site: https://github.com/MarkAYoder/gitLearn.
- Be sure your README.md is includes an up-to-date and clear description of your project so that someone who comes across you git repository can quickly learn what you did and how they can reproduce it.
- Include a Makefile for your code if using C.
- Include any additional packages installed via apt. Include install.sh and setup.sh files.
- Include kernel mods.
- If there is extra hardware needed, include links to where it can be obtained.
User Instructions
Once everything is installed, how do you use the program? Give details here, so if you have a long user manual, link to it here.
Highlights
Here is where you brag about what your project can do.
Include a YouTube demo the audio description.
Theory of Operation
Give a high level overview of the structure of your software. Are you using GStreamer? Show a diagram of the pipeline. Are you running multiple tasks? Show what they do and how they interact.
Work Breakdown
List the major tasks in your project and who did what.
Also list here what doesn't work yet and when you think it will be finished and who is finishing it.
Future Work
Suggest addition things that could be done with this project.
Conclusions
Give some concluding thoughts about the project. Suggest some future additions that could make it even more interesting.
