ML Resources

 

[1] Machine Learning Simplified https://themlsbook.com/

 

 

 

3D Design software

 

 

[1] Tools ESP https://all3dp.com/es/1/mejores-programas-diseno-3d-gratis-modelado-3d

 

Convert webp to png

 

Any file to PNG

$ sudo apt install webp

$ for i in *.webp; do name=`echo "$i" | cut -d'.' -f1`; echo "$name"; dwebp "$i"
 -o "${name}.png"; done


Add to Nautilus Script

fincahuanaco@pisces:~/.local/share/nautilus/scripts$ cat toPNG   
dwebp $1 -o "$1.png" 
rm $1


$chmod +x toPNG 

Updated to Selection to PNG (2023)

#!/bin/bash
count=0 
success=0

# Transform command line arguments (if provided)
[[ -z "$NAUTILUS_SCRIPT_SELECTED_FILE_PATHS" ]] &&
    NAUTILUS_SCRIPT_SELECTED_FILE_PATHS=$(printf "%s\n" "$@")

# Process each file in turn
while IFS= read -r src
do
    if [[ -f "$src" ]]
        then
      # Target
      dst="${src}.png"

      # Primary conversion to PNG
      step=0
    
      dwebp $src -o $dst  && ((step++))

      # Remove src
      if [[ step -eq 1 ]]
      then
        rm $src && ((step++))
      fi

      # Update
      if [[ step -eq 2 ]]
      then
          ((success++))
      fi

      # Count it
      ((count++))
    fi

done <<<"$NAUTILUS_SCRIPT_SELECTED_FILE_PATHS"

[[ count -gt 1 ]] &&
    notify-send "Conversion finished ($success files of $count)"

exit $((count - success)) 

AVIF format support

[1] libavif https://github.com/AOMediaCodec/libavif/ 

 
References:

[1] https://unix.stackexchange.com/questions/710013/making-a-bash-script-apply-to-only-selected-files-nautilus 

Linux Libraries path

#Cuda 8.0 Settings
export CUDA_HOME=/usr/local/cuda-8.0
export LD_LIBRARY_PATH=${CUDA_HOME}/lib64  
PATH=${CUDA_HOME}/bin:${PATH}


#Cuda 9.1 Settings
export CUDA_HOME=/usr/local/cuda-9.1
export LD_LIBRARY_PATH=${CUDA_HOME}/lib64  
PATH=${CUDA_HOME}/bin:${PATH}


#Cuda 9.2 Settings
export CUDA_HOME=/usr/local/cuda-9.2
export LD_LIBRARY_PATH=${CUDA_HOME}/lib64  
PATH=${CUDA_HOME}/bin:${PATH}

 

$ LD_LIBRARY_PATH=. ./programtest  #direct execution
 

$ echo $LD_LIBRARY_PATH  
/usr/local/cuda-8.0/lib64
 

$ ls /etc/ld.so.conf.d
cuda-8-0.conf                   opencv.conf
fakeroot-x86_64-linux-gnu.conf  x86_64-linux-gnu.conf
glew.conf                       x86_64-linux-gnu_EGL.conf
i386-linux-gnu.conf             x86_64-linux-gnu_GL.conf
libc.conf                       zz_i386-biarch-compat.conf

$ldconfig -p  #list libraries

$sudo ldconfig #update paths

 

 


 

C/C++ Tools

 

[1] BIC Interactive C tracer https://github.com/hexagonal-sun/bic

Miner cryptocurrency

 

[0] Card power https://whattomine.com/ 

[1] Linux Dodge https://www.youtube.com/watch?v=Ng-OU38-RjY

     Tool for mine Dodge https://xmrig.com/download

[2] Linux bittorrent https://www.youtube.com/watch?v=y5EWimXPOD0 

[3] Linux Minero(Alternative to xmrig) https://www.youtube.com/watch?v=NMMiT_eMd-s

[1] Windows tool https://unmineable.com/coins/MATIC

[2] How to mine Matic ESP https://www.youtube.com/watch?v=m_qLQQSWRW0

 

Cryptomarket Trading and bots

Bots

[1] Master disseration about bots https://repositorio.ufpe.br/bitstream/123456789/30495/1/DISSERTA%C3%87%C3%83O%20Severino%20Mizael%20da%20Silva.pdf

[2] Api info https://www.mercadobitcoin.com.br/trade-api/

[3] Documentation https://www.mercadobitcoin.com.br/docv4#section/Overview 

[3] Documentation v5.3 https://api.mercadobitcoin.net/api/v4/docs

[3] Glossary https://www.mercadobitcoin.com.br/trade-api/#glossario-trade-api

[4]  Api Wrapper MB

       https://github.com/mbampi/mercado-bitcoin 

       https://github.com/samuelfac/mb-api-client-python

[5] Api Wrapper Binance https://python-binance.readthedocs.io/en/latest/

 

Other Strategies

[1] https://zignaly.com/

[2] Free option/triggers https://www.cryptohopper.com/pricing 

[3] Copy trading https://www.napbots.com

[4] Bots $15 / month  https://tradesanta.com/en/pricing 

[5] 1 free Bot https://3commas.io/pricing

[6] AI powered https://signalboa.com

[7] Bots https://bitsgap.com/pricing/

 

Paraview Convert VTK file to PLY using Paraview script

 

1. vtk2ply 

from paraview.simple import *

import sys

pFrame30vtk = LegacyVTKReader(FileNames=[sys.argv[1]])

SaveData(sys.argv[2], proxy=pFrame30vtk)

QR tools

 

Resources:

[1] Url to QR code https://www.the-qrcode-generator.com

[2] Text to QR code https://goqr.me

Rip current detection

 

[1] Correntes de retorno https://www.youtube.com/watch?v=yKvDOzvjApE

[2] Rip Current  https://www.youtube.com/watch?v=RJ4hcaJ91TY

[3] Paper 2021 https://arxiv.org/pdf/2102.02902.pdf

 

3D grid savig methods using struct.pack

 

Python version for ints

def save2grid(filename,volume,dimx,dimy,dimz):

  with open(filename, "wb") as file:
    for i in range(dimx):
      for j in range(dimy):
        for k in range(dimz):
          f = (volume[i][j][k]*255).astype(np.uint8) #numpy.uint8
          #print(type(f))
          b = struct.pack('B', f)  #was f
          file.write(b)
          
def save2gridfast(filename,volume,dimx,dimy,dimz):
  flat=volume.reshape((dimx*dimy*dimz))
  flat=(flat*255).astype(np.uint8)
  with open(filename, "wb") as file:
       b = struct.pack('%sB' % len(flat), *flat)
       file.write(b) 

Python version for floats

def save2grid(filename,volume,dimx,dimy,dimz):

  with open(filename, "wb") as file:
    for i in range(dimx):
      for j in range(dimy):
        for k in range(dimz):
          f = volume[i][j][k] #[3.14, 2.7, 0.0, -1.0, 1.1]
          b = struct.pack('f', f)
          file.write(b)
def save2grid2(filename,volume,dimx,dimy,dimz):
  flat=volume.reshape((dimx*dimy*dimz))
  with open(filename, "wb") as file:
    for i in range(dimx*dimy*dimz):
       f = flat[i]
       b = struct.pack('f', f)
       file.write(b)
def save2grid3(filename,volume,dimx,dimy,dimz):
  flat=volume.reshape((dimx*dimy*dimz))
  with open(filename, "wb") as file:
       b = struct.pack('%sf' % len(flat), *flat)
       #b = struct.pack('f', f)
       file.write(b)

Update Chrome in Ubuntu

 

# Install

# via http://askubuntu.com/questions/510056/how-to-install-google-chrome

wget -q -O - https://dl-ssl.google.com/linux/linux_signing_key.pub | sudo apt-key add - 

sudo sh -c 'echo "deb http://dl.google.com/linux/chrome/deb/ stable main" >> /etc/apt/sources.list.d/google-chrome.list'

sudo apt-get update 

sudo apt-get install google-chrome-stable

# Update

sudo apt-get --only-upgrade install google-chrome-stable

Time series forecasting

To review

 

[1] https://machinelearningmastery.com/how-to-develop-lstm-models-for-time-series-forecasting/

[2] https://www.tensorflow.org/tutorials/structured_data/time_series

[3] https://analyticsindiamag.com/tutorial-on-univariate-single-step-style-lstm-in-time-series-forecasting/

[4] https://towardsdatascience.com/multivariate-time-series-forecasting-with-transformers-384dc6ce989b

 

 

Houdini 18 - Changing temp directory

 

Setting temp directory

$ locate houdini.env

/home/cloud/houdini18.0/houdini.env

#
# Houdini Environment Settings
#
# The contents of this file are read into the environment
# at startup.  They will override any existing entries in
# the environment.
#
# The syntax is one entry per line as follows:
#    VAR = VALUE
#
# Values may be quoted
#    VAR = "VALUE"
#
# Values may be empty
#    VAR =  
#

# Example:
#
# HOUDINI_NO_SPLASH = 1


HOUDINI_TEMP_DIR = /home/cloud/.houdinitmp

 

 

DualSPHysics Simulation pipeline

 

First Step: Create geometry

[1] FreeCAD https://www.freecadweb.org/downloads.php

[2] Plugin DesignSPHysics https://github.com/DualSPHysics/DesignSPHysics

Second Step: Compile/Install DualSPHysics

[1] How to https://melhorum.blogspot.com/2019/07/dualsphysics.html

Third Step: Run smulation CPU or GPU

[1] ...

Fourth Step: Polygonize/Render

[1] ...

 

 

Video tools online

Rotate/Crop/Resize

[1] https://ezgif.com/rotate-video

[2] Fast https://www.rotatevideo.org/ 

Linux check input ports

 $ sudo cat /proc/ioports

0000-0cf7 : PCI Bus 0000:00
 0000-001f : dma1
 0020-0021 : pic1
 0040-0043 : timer0
 0050-0053 : timer1
 0060-0060 : keyboard
 0061-0061 : PNP0800:00
 0064-0064 : keyboard
 0070-0071 : rtc0
 0080-008f : dma page reg
 00a0-00a1 : pic2
 00c0-00df : dma2
 00f0-00ff : PNP0C04:00
   00f0-00ff : fpu
 0290-0297 : pnp 00:03
 0378-037a : parport0
 037b-037f : parport0
 03c0-03df : vesafb
 03f8-03ff : serial
 0400-041f : 0000:00:1f.3
 04d0-04d1 : pnp 00:04
 0500-053f : 0000:00:1f.0
 0778-077a : parport0
 0800-087f : 0000:00:1f.0
   0800-087f : pnp 00:04
     0800-0803 : ACPI PM1a_EVT_BLK
     0804-0805 : ACPI PM1a_CNT_BLK
     0808-080b : ACPI PM_TMR
     0820-082f : ACPI GPE0_BLK
     0830-0833 : iTCO_wdt.0.auto
     0850-0850 : ACPI PM2_CNT_BLK
     0860-087f : iTCO_wdt.0.auto
0cf8-0cff : PCI conf1
0d00-ffff : PCI Bus 0000:00
 1000-1fff : PCI Bus 0000:05
 2000-2fff : PCI Bus 0000:04

$ cat /proc/bus/input/devices

I: Bus=0019 Vendor=0000 Product=0001 Version=0000
N: Name="Power Button"
P: Phys=PNP0C0C/button/input0
S: Sysfs=/devices/LNXSYSTM:00/LNXSYBUS:00/PNP0C0C:00/input/input0
U: Uniq=
H: Handlers=kbd event0  
B: PROP=0
B: EV=3
B: KEY=10000000000000 0

I: Bus=0019 Vendor=0000 Product=0001 Version=0000
N: Name="Power Button"
P: Phys=LNXPWRBN/button/input0
S: Sysfs=/devices/LNXSYSTM:00/LNXPWRBN:00/input/input1
U: Uniq=
H: Handlers=kbd event1  
B: PROP=0
B: EV=3
B: KEY=10000000000000 0

I: Bus=0003 Vendor=046d Product=c016 Version=0110
N: Name="Logitech Optical USB Mouse"
P: Phys=usb-0000:00:1d.0-1/input0
S: Sysfs=/devices/pci0000:00/0000:00:1d.0/usb6/6-1/6-1:1.0/0003:046D:C016.0001/i
nput/input5
U: Uniq=
H: Handlers=mouse0 event2  
B: PROP=0
B: EV=17
B: KEY=70000 0 0 0 0
B: REL=103
B: MSC=10

I: Bus=0003 Vendor=045e Product=0750 Version=0111
N: Name="Microsoft Wired Keyboard 600"
P: Phys=usb-0000:00:1d.0-2/input0
S: Sysfs=/devices/pci0000:00/0000:00:1d.0/usb6/6-2/6-2:1.0/0003:045E:0750.0002/i
nput/input6
U: Uniq=
H: Handlers=sysrq kbd event3 leds  
B: PROP=0
B: EV=120013
B: KEY=1000000000007 ff9f207ac14057ff febeffdfffefffff fffffffffffffffe
B: MSC=10
B: LED=7

I: Bus=0003 Vendor=045e Product=0750 Version=0111
N: Name="Microsoft Wired Keyboard 600"
P: Phys=usb-0000:00:1d.0-2/input1
S: Sysfs=/devices/pci0000:00/0000:00:1d.0/usb6/6-2/6-2:1.1/0003:045E:0750.0003/i
nput/input7
U: Uniq=
H: Handlers=sysrq kbd event4  
B: PROP=0
B: EV=10001f
B: KEY=3f0003007f 0 0 4c3ffff17aff32d bf54445600000000 1 130f938b17c007 ffff7bfa
d971dfff febeffdfffefffff fffffffffffffffe
B: REL=40
B: ABS=10100000000
B: MSC=10

I: Bus=0000 Vendor=0000 Product=0000 Version=0000
N: Name="HDA Intel Front Mic"
P: Phys=ALSA
S: Sysfs=/devices/pci0000:00/0000:00:1b.0/sound/card0/input8
U: Uniq=
H: Handlers=event5  
B: PROP=0
B: EV=21
B: SW=10

$sudo cat /dev/input/event3 #test if it's working

Linux Touchpad issues

 

xinput list

⎡ Virtual core pointer                          id=2    [master pointer  (3)]
⎜   ↳ Virtual core XTEST pointer                id=4    [slave  pointer  (2)]
⎜   ↳ Dell Dell Universal Receiver              id=11   [slave  pointer  (2)]
⎜   ↳ AlpsPS/2 ALPS DualPoint TouchPad          id=16   [slave  pointer  (2)]
⎜   ↳ AlpsPS/2 ALPS DualPoint Stick             id=15   [slave  pointer  (2)]
⎣ Virtual core keyboard                         id=3    [master keyboard (2)]
   ↳ Virtual core XTEST keyboard               id=5    [slave  keyboard (3)]
   ↳ Power Button                              id=6    [slave  keyboard (3)]
   ↳ Video Bus                                 id=7    [slave  keyboard (3)]
   ↳ Power Button                              id=8    [slave  keyboard (3)]
   ↳ Sleep Button                              id=9    [slave  keyboard (3)]
   ↳ Dell Dell Universal Receiver              id=10   [slave  keyboard (3)]
   ↳ Laptop_Integrated_Webcam_HD: In           id=12   [slave  keyboard (3)]
   ↳ Dell WMI hotkeys                          id=13   [slave  keyboard (3)]
   ↳ AT Translated Set 2 keyboard              id=14   [slave  keyboard (3)]
   ↳ Dell Dell Universal Receiver              id=17   [slave  keyboard (3)]

xinput -list-props 16

 
Device 'AlpsPS/2 ALPS DualPoint TouchPad':
       Device Enabled (142):   1
       Coordinate Transformation Matrix (144): 1.000000, 0.000000, 0.000000, 0.000000, 1.000000, 0.000000, 0.000000, 0.000000, 1.000000
       Device Accel Profile (275):     0
       Device Accel Constant Deceleration (276):       1.000000
       Device Accel Adaptive Deceleration (277):       1.000000
       Device Accel Velocity Scaling (278):    5.000000
       Trackpad Disable Input (305):   0
       Trackpad Sensitivity (306):     0.500000
       Trackpad Touch Pressure (307):  5, 5
       Trackpad Button Settings (308): 1, 1
       Trackpad Button Emulation Settings (309):       0, 1, 100
       Trackpad Button Emulation Values (310): 3, 2, 0
       Trackpad Tap Settings (311):    50, 120, 400
       Trackpad Tap Button Emulation (312):    1, 3, 2, 0
       Trackpad Thumb Detection (313): 0, 0
       Trackpad Thumb Size (314):      25, 70
       Trackpad Palm Detection (315):  0, 0
       Trackpad Palm Size (316):       40
       Trackpad Gesture Settings (317):        10, 100
       Trackpad Scroll Distance (318): 150
       Trackpad Scroll Buttons (319):  4, 5, 6, 7
       Trackpad Swipe Distance (320):  700
       Trackpad Swipe Buttons (321):   8, 9, 10, 11
       Trackpad Swipe4 Distance (322): 700
       Trackpad Swipe4 Buttons (323):  0, 0, 0, 0
       Trackpad Scale Distance (324):  150
       Trackpad Scale Buttons (325):   14, 15
       Trackpad Rotate Distance (326): 150
       Trackpad Drag Settings (327):   1, 350, 40, 200
       Trackpad Axis Inversion (328):  0, 0


xinput -set-prop 16 306 0.5

 

Processing mp3 by Python3 in Linux

 

 

$ sudo apt install llvm-8
 

$ locate llvm-config

$ LLVM_CONFIG=/usr/bin/llvm-config-8 pip3 install librosa --user
 

 

packages: llvmlite, numba, soundfile, resampy, audioread, librosa

 

CNN Architectures

 

[1] Keras CNN networks with size and time https://keras.io/api/applications/