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@minhoolee
minhoolee / ColorShooter.java
Created May 19, 2015 08:24
Code for the game "Arcus Coelestis"
/**
* Author: Min Hoo Lee
* Date: March 20, 2015 - May 19, 2015 (start to end)
*
* Description:
* ColorShooter.java is the program containing the game "Arcus Coelestis".
* This game was created and designed for the Game-In-5-Weeks Project.
* It involves the user controlling a cannon to shoot colored balls
* (specified by HSV sliders) at randomly colored balls
* located in the top of the screen. If the ball hits a ball of the same color,
// Interesting dilemma in which Egyptian style is worse in performance
// than Allman style (brackets on seperate lines)
// Egyptian Style
void MyFunction(
int parameterOne,
int parameterTwo) {
int localOne,
int localTwo
}
@minhoolee
minhoolee / .cvimrc
Last active September 12, 2018 10:50
" Settings
"set nohud
set smoothscroll
set typelinkhints
set cncpcompletion
set autoupdategist
set nochangelog
let searchlimit = 45
let scrollstep = 150
[ 0%] Built target opencv_hal_pch_dephelp
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[ 1%] [ 1%] Built target opencv_imgproc_pch_dephelp
[ 1%] Built target opencv_imgcodecs_pch_dephelp
Built target opencv_highgui_pch_dephelp
[ 5%] Built target libwebp
[ 5%] [ 5%] Built target opencv_videoio_pch_dephelp
[ 5%] Built target opencv_perf_core_pch_dephelp
Built target opencv_test_core_pch_dephelp
@minhoolee
minhoolee / MVRT Vision Trainings Examples Week 4
Last active October 20, 2015 03:05
MVRT Vision Trainings Examples
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@minhoolee
minhoolee / MVRT Vision Trainings Examples Week 5
Last active October 26, 2015 21:53
MVRT Vision Trainings Examples
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@minhoolee
minhoolee / MVRT Vision Trainings Examples Week 7
Created November 8, 2015 02:13
MVRT Vision Trainings Examples
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@minhoolee
minhoolee / MVRT Vision Trainings Examples Week 8
Last active November 16, 2015 08:33
MVRT Vision Trainings Week 8
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@minhoolee
minhoolee / Makefile.config
Last active January 11, 2017 08:07
Caffe Makefile
## Refer to http://caffe.berkeleyvision.org/installation.html
# Contributions simplifying and improving our build system are welcome!
# cuDNN acceleration switch (uncomment to build with cuDNN).
USE_CUDNN := 1
# CPU-only switch (uncomment to build without GPU support).
# CPU_ONLY := 1
# uncomment to disable IO dependencies and corresponding data layers