Akira-Hayasaka

Shut down without showing a confirmation dialog:
osascript -e 'tell app "System Events" to shut down'

Shut down after showing a confirmation dialog:
osascript -e 'tell app "loginwindow" to «event aevtrsdn»'

Restart without showing a confirmation dialog:
osascript -e 'tell app "System Events" to restart'

Restart after showing a confirmation dialog:

Akira-Hayasaka

	static const std::map<string, string> ISO_2_TO_3_MAP = {
		{"AF", "AFG"},
		{"AL", "ALB"},
		{"DZ", "DZA"},
		{"AS", "ASM"},
		{"AD", "AND"},
		{"AO", "AGO"},
		{"AI", "AIA"},
		{"AQ", "ATA"},
		{"AG", "ATG"},

Akira-Hayasaka

	static bool comp_dates_before_1970_epoch(const std::tm& dt1, const std::tm& dt2) 
	{
		if (dt1.tm_year != dt2.tm_year) return dt1.tm_year < dt2.tm_year;
		if (dt1.tm_mon != dt2.tm_mon) return dt1.tm_mon < dt2.tm_mon;
		if (dt1.tm_mday != dt2.tm_mday) return dt1.tm_mday < dt2.tm_mday;
		if (dt1.tm_hour != dt2.tm_hour) return dt1.tm_hour < dt2.tm_hour;
		if (dt1.tm_min != dt2.tm_min) return dt1.tm_min < dt2.tm_min;
		return dt1.tm_sec < dt2.tm_sec;
	}

Akira-Hayasaka

ffmpeg -i a.mp4 -vf "fps=10,scale=1280:-1:flags=lanczos,split[s0][s1];[s0]palettegen[p];[s1][p]paletteuse" -loop 0 output.gif

normal
ffmpeg -i input.mov -r 10 -vf scale=640:-1 -f gif output.gif

mid
ffmpeg -i input.mov -filter_complex "[0:v] fps=10,scale=640:-1,split [a][b];[a] palettegen [p];[b][p] paletteuse" output-palette.gif

high
ffmpeg -i input.mov -filter_complex "[0:v] fps=10,scale=w=640:h=-1,split [a][b];[a] palettegen=stats_mode=single [p];[b][p] paletteuse=new=1" output-multiple-palette.gif

Akira-Hayasaka

std::copy(vector.begin(), vector.end(), std::inserter(deque, deque.end()));

Akira-Hayasaka

#version 150

uniform sampler2DRect tex;
uniform float r_for_hlg;

in vec2 texCoordVarying;
out vec4 outputColor;

// HLG OETF
vec3 hlg_oetf(vec3 E)

Akira-Hayasaka

static string prepend_0(const int i, const int n_zero)
{
	return std::string(n_zero - std::min(n_zero, (int)ofToString(i).length()), '0') + ofToString(i);
}

auto prepend_0 = [&](const int i, const int n_zero) -> string
{
	return std::string(n_zero - std::min(n_zero, (int)ofToString(i).length()), '0') + ofToString(i);
};

Akira-Hayasaka

// if shaper is 1, you get linear output like ofMap.
// shaper > 1 means non linear steps weighted towards the start.
// 0 < shaper < 1 means non linear steps weighted towards the end.
auto shaped_map = [&](
  float val,
  float inMin, float inMax,
  float outMin, float outMax,
  float shaper) ->  float 
{
  // (1) convert to pct (0-1)

Akira-Hayasaka

- windowsはオフラインアカウントでセットアップ

- ネットワークにつなぐ

- 識別されてないネットワーク問題
http://www.projectgroup.info/tips/Windows/comm_0064.html

- windowsのライセンス認証
- windowsをアップデートする

Akira-Hayasaka

from tensorflow.python.client import device_lib
print(tf.__version__)
print("Num GPUs Available: ", len(tf.config.list_physical_devices('GPU')))
device_lib.list_local_devices()