Difference between revisions of "ECE497 Project - Object Detection w/ DNN"

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(Created page with "PT PT {{YoderHead}} Team members: Mark A. Yoder == Grading Template == I'm using the following template to g...")
 
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[[Category:ECE497 |PT]]
 
[[Category:ECE497 |PT]]
 
[[Category:ECE497Fall2018 |PT]]
 
[[Category:ECE497Fall2018 |PT]]
{{YoderHead}}
 
  
Team members: [[user:Yoder|Mark A. Yoder]]
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Team members: [Paul Wilda, Leela Pakanati]
  
 
== 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!
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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.
  
Give two sentence intro to the project.
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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.
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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.
 
{{YoderFoot}}
 

Revision as of 07:57, 17 October 2019


Team members: [Paul Wilda, Leela Pakanati]

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.