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NVD Program Announcement UPDATED - April, 25th 2024 | |
NIST maintains the National Vulnerability Database (NVD), a repository of | |
information on software and hardware flaws that can compromise computer security. | |
This is a key piece of the nation’s cybersecurity infrastructure. | |
There is a growing backlog of vulnerabilities submitted to the NVD and requiring | |
analysis. This is based on a variety of factors, including an increase in software | |
and, therefore, vulnerabilities, as well as a change in interagency support. |
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# Adam Foflonker | |
# 27 April 2024 | |
# A dict is a data structure that stores key-value pairs, where each key MUST be unique. | |
# This allows us to "map" unique keys to a specific value. | |
# Lets say for example that we want to store a list of people's names and their ages. We | |
# could do this using 2 parallel lists called names and ages where index 0 of ages is the age | |
# of the person's name at index 0 of names. But there's a better way to do this. What if we had a | |
# data structure that allows us to map or pair an age to a name (without us creating a class/struct)? |
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RAR registration data | |
WinRAR | |
Unlimited Company License | |
UID=4b914fb772c8376bf571 | |
6412212250f5711ad072cf351cfa39e2851192daf8a362681bbb1d | |
cd48da1d14d995f0bbf960fce6cb5ffde62890079861be57638717 | |
7131ced835ed65cc743d9777f2ea71a8e32c7e593cf66794343565 | |
b41bcf56929486b8bcdac33d50ecf773996052598f1f556defffbd | |
982fbe71e93df6b6346c37a3890f3c7edc65d7f5455470d13d1190 | |
6e6fb824bcf25f155547b5fc41901ad58c0992f570be1cf5608ba9 |
scph5500.bin 26-Aug-2018 20:47 512.0K
scph5501.bin 26-Aug-2018 20:47 512.0K
scph5502.bin 26-Aug-2018 20:47 512.0K
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--- YellowBox 1.0 | |
-- By JackMacWindows | |
-- | |
-- @module yellowbox | |
-- | |
-- This module allows you to easily create and manage special ComputerCraft | |
-- containers called "boxes". These boxes contain their own separate execution | |
-- environment, completely sequestered from the caller's environment. This allows | |
-- effective "virtual machines" running CraftOS. | |
-- |
Windows command | Unix command | Notes |
---|---|---|
set | env | Set on Windows prints a list of all environment variables. For individual environment variables, set is the same as echo $ on Unix. |
set Path | export $PATH | Print the value of the environment variable using set in Windows. |
set PROJ | -- | result: PROJ=c:\project |
echo %PROJ% | echo $PROJ | result: c:\project |
|
- エヌビディアの手島でございます
- この記事はOpenCVの画像処理をGPU(CUDA)で高速化する - Qiita(以降「元記事」)を読んで、最後に書かれているリクエストを検証したものです。
OpenCVでの処理(リサイズなど)を、簡単にマルチコア化する方法をどなたかご存知でしたら教えて頂けないでしょうか? TBBを使ってスレッドを作る方法は色々見つかったのですが、単にcv::resize()をマルチコア動作で高速化させたいです。
- Python バインディングが遅い
- OpenCV の
resize
はずっと昔からマルチコア対応している
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