Kostia K0stIa

Принципы SOLID

Принцип единственной ответственности (SRP)
Принцип открытости/закрытости (OCP)
Принцип подстановки Лисков (LSP)
Принцип разделения интерфейсов (ISP)
Принцип инверсии зависимостей (DIP)

The repository for the assignment is public and Github does not allow the creation of private forks for public repositories.

The correct way of creating a private frok by duplicating the repo is documented here.

For this assignment the commands are:

Create a bare clone of the repository. (This is temporary and will be removed so just do it wherever.)

git clone --bare git@github.com:usi-systems/easytrace.git

Comparison table for ESP8266/ESP32/ESP32-S2/ESP32-S3/ESP32-C3/ESP32-C6

A minimal table to compare the Espressif's MCU families.

	ESP8266	ESP32	ESP32-S2	ESP32-S3	ESP32-C3	ESP32-C6
Announcement Date	2014, August	2016, September	2019, September	2020, December

VisualSFM by Changchang Wu

Probably the most straight forward way to start generating Point Clouds from a set of pictures.

VisualSFM is a GUI application for 3D reconstruction using structure from motion (SFM). The reconstruction system integrates several of my previous projects: SIFT on GPU(SiftGPU), Multicore Bundle Adjustment, and Towards Linear-time Incremental Structure from Motion. VisualSFM runs fast by exploiting multicore parallelism for feature detection, feature matching, and bundle adjustment.

For dense reconstruction, this program supports Yasutaka Furukawa's PMVS/CMVS tool chain, and can prepare data for Michal Jancosek's CMP-MVS. In addition, the output of VisualSFM is natively supported by Mathias Rothermel and Konrad Wenzel's [SURE]

tmux shortcuts & cheatsheet

start new:

tmux

start new with session name:

tmux new -s myname

Latency numbers every programmer should know

L1 cache reference ......................... 0.5 ns
Branch mispredict ............................ 5 ns
L2 cache reference ........................... 7 ns
Mutex lock/unlock ........................... 25 ns
Main memory reference ...................... 100 ns             
Compress 1K bytes with Zippy ............. 3,000 ns  =   3 µs
Send 2K bytes over 1 Gbps network ....... 20,000 ns  =  20 µs
SSD random read ........................ 150,000 ns  = 150 µs

Read 1 MB sequentially from memory ..... 250,000 ns = 250 µs

	blueprint:
	name: Aqara TRV E1 External Temperature Control
	description: >
	This automation allows the Aqara TRV E1 Smart Radiator Thermostat to use temperature readings from an external sensor rather than its internal sensor. Whenever the temperature sensor reports a new value, it is sent to the TRV for more accurate climate control.
	domain: automation
	source_url: "https://gist.github.com/pavax/8d6ed250765d89cb281d4a1762b8d2e8"

	input:
	external_temp_sensor:
	name: External Temperature Sensor