Y = a * R + b * G + c * B
Cb = (B - Y) / d
Cr = (R - Y) / e
BT.601 | BT.709 | BT.2020 | |
---|---|---|---|
a | 0.299 | 0.2126 | 0.2627 |
b | 0.587 | 0.7152 | 0.6780 |
{ | |
"workbench.startupEditor": "newUntitledFile", | |
"editor.fontSize": 14, | |
"editor.lineHeight": 1.8, | |
"javascript.suggest.autoImports": true, | |
"javascript.updateImportsOnFileMove.enabled": "always", | |
"editor.rulers": [80, 120], | |
"extensions.ignoreRecommendations": true, | |
"typescript.tsserver.log": "off", | |
"files.associations": { |
Y = a * R + b * G + c * B
Cb = (B - Y) / d
Cr = (R - Y) / e
BT.601 | BT.709 | BT.2020 | |
---|---|---|---|
a | 0.299 | 0.2126 | 0.2627 |
b | 0.587 | 0.7152 | 0.6780 |
const timer = ms => new Promise(res => setTimeout(res, ms)); | |
// Unretweet normally | |
const unretweetTweet = async (tweet) => { | |
await tweet.querySelector('div[data-testid="unretweet"]').click(); | |
await timer(250); | |
await document.querySelector('div[data-testid="unretweetConfirm"]').click(); | |
console.log('****// Unretweeted Successfully //****') | |
} |
By: Chamin Morikawa (https://www.linkedin.com/pulse/writing-related-work-section-paperthesis-chamin-morikawa/)
For most students, writing about what they did on their own is not hard. But writing about others' work - which is what you have to do in the "State of the Art" or "Related Work" section - is quite hard for them. Here are a few guidelines to make this task a bit easier.
Let's lay down our assumptions before continuing. I assume that you want to write a "Related Work" section for a research paper or a thesis that describes your approach to solve some problem. Let's also assume that there are other publications that attempt to solve the same problem, but the solutions in them are not perfect. Finally, let's assume that your approach has some difference when compared to those by others, and some improvement (faster, more accurate, easier to afford, etc.).
-- HANDLE SCROLLING WITH MOUSE BUTTON PRESSED | |
local scrollMouseButton = 3 | |
local deferred = false | |
overrideOtherMouseDown = hs.eventtap.new({ hs.eventtap.event.types.otherMouseDown }, function(e) | |
-- print(hs.eventtap.event.properties['mouseEventButtonNumber']) | |
local mouseButton = e:getProperty(hs.eventtap.event.properties['mouseEventButtonNumber']) | |
if mouseButton == scrollMouseButton then | |
deferred = true | |
return true |
/* This file was generated by the Hex-Rays decompiler. | |
Copyright (c) 2007-2020 Hex-Rays <info@hex-rays.com> | |
Detected compiler: GNU C++ | |
*/ | |
#include <defs.h> | |
TensorRT supports two approaches to prepare model for Quantization - Calibration or Training
First we need to add/replace regular model nn.Layers with TRT pytorch_quantization.nn layers. Quantization layers will gather statistics required for quantization.
Once the model is modified we can use the following approaches to gather statistics before quantization:
// Charles Proxy License | |
// Registration code for any version of Charles, who would want to use a cracked version? | |
// Charles 4.5.5 is currently the latest version and is available. | |
Registered Name: https://zhile.io | |
License Key: 48891cf209c6d32bf4 | |
Author: Neo Peng |