Difference between revisions of "DPS921/ASCII"

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(Samples)
(ASCII art)
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We decided to take it a step further and output a PNG file as well. This loses some of the functionality mentioned above, however now we are able to process videos since we can take a frame and run our algorithm through it. Having a video will also highlight how efficient our algorithm can run and whether we can keep up with live processing.
 
We decided to take it a step further and output a PNG file as well. This loses some of the functionality mentioned above, however now we are able to process videos since we can take a frame and run our algorithm through it. Having a video will also highlight how efficient our algorithm can run and whether we can keep up with live processing.
  
===Output Samples===
+
===<span style="color:#29bc61">Output Samples</span>===
 
#[https://drive.google.com/open?id=1XdiQNKSioRO4BhRdWrnoORsk-OKVm_Yb Live video stream]
 
#[https://drive.google.com/open?id=1XdiQNKSioRO4BhRdWrnoORsk-OKVm_Yb Live video stream]
 
#[https://drive.google.com/open?id=1TNntn00V9z6jSreNNxXtbVBMUgru0TD5 Video file processing]
 
#[https://drive.google.com/open?id=1TNntn00V9z6jSreNNxXtbVBMUgru0TD5 Video file processing]
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'''Note:''' for best video quality download the files for view since Google compresses them further for playback in browsers. For text file you'll need to decrease font such that no lines wrapped unto to the next line and use '''''monospace''''' font.
 
'''Note:''' for best video quality download the files for view since Google compresses them further for playback in browsers. For text file you'll need to decrease font such that no lines wrapped unto to the next line and use '''''monospace''''' font.
  
===OpenCV library===
+
===OpenCV===
 +
[[File:opencv.jpg|left]]
 +
OpenCV is an open source computer vision library which can do a lot of cool stuff. As beginners we are using it for:
 +
*Read and write '''image''' files
 +
*Read and write '''video''' files
 +
*Read from video stream like '''camera'''
 +
*Write/Display video in native OS windows
 +
 
 +
 
  
 
==vTune Amplifier with OpenMP (Alex)==
 
==vTune Amplifier with OpenMP (Alex)==
  
 
==Intel Adviser (Dmytro)==
 
==Intel Adviser (Dmytro)==

Revision as of 20:25, 28 November 2018

ASCII art

Team Members

  1. Alex
  2. Dmytro
  3. Yuriy Kartuzov

Google slides presentation

Google Slides presentation can be found here

ASCII Art (Yuriy)

Introduction

The idea is take an image and turn it into a pictorial representation using ascii character. We use PNG as input and TXT file as output. The idea with TXT format is that they can be pasted into editors, their font can be modified, text colour and background changed for a customized look.

R2d2.jpg

We decided to take it a step further and output a PNG file as well. This loses some of the functionality mentioned above, however now we are able to process videos since we can take a frame and run our algorithm through it. Having a video will also highlight how efficient our algorithm can run and whether we can keep up with live processing.

Output Samples

  1. Live video stream
  2. Video file processing
  3. Reverse sampling with white colour font and black colour background
  4. Text file of R2D2 above

Note: for best video quality download the files for view since Google compresses them further for playback in browsers. For text file you'll need to decrease font such that no lines wrapped unto to the next line and use monospace font.

OpenCV

Opencv.jpg

OpenCV is an open source computer vision library which can do a lot of cool stuff. As beginners we are using it for:

  • Read and write image files
  • Read and write video files
  • Read from video stream like camera
  • Write/Display video in native OS windows


vTune Amplifier with OpenMP (Alex)

Intel Adviser (Dmytro)