CodeCAM

A set of tools (a.k.a. "framework") to create a video-annotated source code.

Good

• Applicable to any language / format.
• No need to modify the editor.

Bad

• Accuracy not 100%.
• Cannot track what's not typed (e.g. moved, pasted)
• Matching takes O(n^2).

How to Use

1. Obtain a source code, key logging and video.
2. Run matcher.py key.log sourcecode.txt > keylog.map
3. Run trimvideo.sh stream.mp4 images/
4. Run getface.py -K api_key images/*.jpg > faces.txt
5. Run viewer.py -s stream.mp4 -f faces.txt keylog.map sourcecode.txt > viewer.html

Kiirogaa

Emacs

• Vist a file.
• M-x kiirogaa-start-logging
• M-x kiirogaa-stop-logging

Windows

• Resides on SysTray.
• Requires Windows SDK to build.
• nmake

macOS

• make
• sudo kiirogaa output.log

Tools

matcher.py

Discovers mappings between a key log and source code.

Usage:

$ matcher.py [-d] [-t title] [-m maxdist] [-s minsocre]
  [-n maxiters] [-x maxcluters] key.log [file ...] > out.map

getface.py

Label a sequence of jpeg images with face data.

Usage:

$ getface.py -K api_key images/*.jpg > faces.txt

cf. https://azure.microsoft.com/en-us/services/cognitive-services/emotion/

trimvideo.sh

Makes a sequence of shrinked jpegs from a video.

Usage:

$ trimvideo.sh input.mp4 output/ [trimsize] [videosize]

evalprec.py

Compares a estimated mapping with a true mapping (for debugging).

Usage:

$ evalprec.py reference.txt output.txt

vierer.py

Generates a final video player w/ source code in HTML.

Usage:

$ viewer.py [-s stream.mp4] [-f faces.txt] out.map [file ...]