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K0stIa / z2m_aqara_trv_external_temperature.yaml
Created November 4, 2025 11:31 — forked from pavax/z2m_aqara_trv_external_temperature.yaml
z2m_aqara_trv_external_temperature.yaml
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
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K0stIa / private_fork.md
Created October 30, 2025 04:53 — forked from 0xjac/private_fork.md
Create a private fork of a public repository

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:

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

    2. 



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



  


  




    


          
    

      

        
        

          

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                K0stIa
                / Comparison Espressif ESP MCUs.md
            
            

              Created
              April 30, 2023 04:44
                — forked from fabianoriccardi/Comparison Espressif ESP MCUs.md
            

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

        

      

        

  

      

    
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









  


  




    


          
    

      

        
        

          

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                K0stIa
                / SFM.md
            
            

              Created
              November 28, 2016 22:55
                — forked from patriciogonzalezvivo/SFM.md
            

              
                SfM Tools
              
          

        

      

        

  

      

    
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]



  


  




    


          
    

      

        
        

          

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                K0stIa
                / tmux-cheatsheet.markdown
            
            

              Last active
              August 29, 2015 14:25
                — forked from MohamedAlaa/tmux-cheatsheet.markdown
            

              
                tmux shortcuts & cheatsheet
              
          

        

      

        

  

      

    
tmux shortcuts & cheatsheet


start new:


tmux



start new with session name:


tmux new -s myname




  


  




    


          
    

      

        
        

          

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                K0stIa
                / latency.markdown
            
            

              Last active
              August 29, 2015 14:06
                — forked from hellerbarde/latency.markdown
            

          

        

      

        

  

      

    
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