CristinaSolana

1. Clone your fork:

git clone [email protected]:YOUR-USERNAME/YOUR-FORKED-REPO.git

2. Add remote from original repository in your forked repository:

cd into/cloned/fork-repo
git remote add upstream git://github.com/ORIGINAL-DEV-USERNAME/REPO-YOU-FORKED-FROM.git
git fetch upstream

AliMD

All github Emoji (Smiles)

ali.md/emoji

| 😄 | 😆 | 😊 | 😃 | ☺️ | 😏 | 😍 | 😘 | :kissing_face: | 😳 | 😌 | 😆 | 😁 | 😉 | :wink2: | 👅 | 😒 | 😅 | 😓

😩 | 😔 | 😞 | 😖 | 😨 | 😰 | 😣 | 😢 | 😭 | 😂 | 😲 | 😱 | | 😫 | 😠 | 😡 | 😤 | 😪 | 😋 | 😷

😎 | 😵 | 👿 | 😈 | 😐 | 😶 | 😇 | 👽 | 💛 | 💙 | 💜 | ❤️ | 💚 | 💔 | 💓 | 💗 | 💕 | 💞 | 💘 | ✨

peterlee0127

#ARCH
ARCH="`uname -s`"
LINUX="Linux"  
Darwin="Darwin"
   
TARGET=demo.hex
EXECUTABLE=demo.elf

CC=arm-none-eabi-gcc

edokeh

//
//                       _oo0oo_
//                      o8888888o
//                      88" . "88
//                      (| -_- |)
//                      0\  =  /0
//                    ___/`---'\___
//                  .' \\|     |// '.
//                 / \\|||  :  |||// \
//                / _||||| -:- |||||- \

karenyyng

Table Of Content

Skip to the relevant sections if needed.

• 2-min tutorial to do it the quick-and-dirty-way
• Concepts for resolving Git conflicts
• Setting up different editors / tool for using git mergetool
  • Finding out what mergetool editors are supported
• mergetool simple code example for vimdiff
  • Resolving conflict from a Git pull
• Other great references and tutorials

graphitemaster

Tutorial 0

What is Vulkan

Vulkan is a low-overhead, cross-platform 3D graphics and compute API.

Vulkan targets

Vulkan targets high-performance realtime 3D graphics applications such as games and interactive media across multiple platforms providing higher performance and lower CPU usage.

mstfldmr

from matplotlib import pyplot as plt
import cv2

img = cv2.imread('/Users/mustafa/test.jpg')
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)

plt.imshow(gray)
plt.title('my picture')
plt.show()

xingrz

开源

厂商	Bootloader 解锁	内核			AOSP		Treble

vurtun

Gilbert–Johnson–Keerthi (GJK) 3D distance algorithm

The Gilbert–Johnson–Keerthi (GJK) distance algorithm is a method of determining the minimum distance between two convex sets. The algorithm's stability, speed which operates in near-constant time, and small storage footprint make it popular for realtime collision detection.

Unlike many other distance algorithms, it has no requirments on geometry data to be stored in any specific format, but instead relies solely on a support function to iteratively generate closer simplices to the correct answer using the Minkowski sum (CSO) of two convex shapes.