Cloud points viewers

 

[1] python pptk  https://github.com/heremaps/pptk

Compile g3dviewer in Ubuntu16

 

Source:

[1] http://automagically.de/g3dviewer/

Settings:

$cd src

$grep DATA_DIR *

$locate g3dviewer.glade #to define DATA_DIR

#To find right libraries

$pkg-config --libs gtk+-2.0     
$pkg-config --libs gtkglext-x11-1.0

 

Compile Code:

$gcc -o app main.c model.c screenshot.c texture.c trackball.c glarea.c gl.c gu
i_callbacks.c gui_glade.c gui_infowin.c gui_log.c -I /usr/include/gtk-2.0 -I /u
sr/include/glib-2.0 -I /usr/lib/x86_64-linux-gnu/glib-2.0/include -I /usr/inclu
de/cairo -I /usr/include/pango-1.0 -I /usr/lib/x86_64-linux-gnu/gtk-2.0/include
-I /usr/include/gdk-pixbuf-2.0 -I /usr/include/atk-1.0 -I /usr/include/gtkglex
t-1.0 -I /usr/lib/gtkglext-1.0/include -I /usr/include/libglade-2.0 -lgtk-x11-2
.0 -lgdk-x11-2.0 -lpangocairo-1.0 -latk-1.0 -lcairo -lgdk_pixbuf-2.0 -lgio-2.0
-lpangoft2-1.0 -lpango-1.0 -lgobject-2.0 -lglib-2.0 -lfontconfig -lfreetype -lm
-lGL -lglut -lGLU -lglade-2.0 -lgtkglext-x11-1.0 -lgdkglext-x11-1.0 -lGLU -lGL
-lXmu -lXt -lSM -lICE -lgdk-x11-2.0 -lpangox-1.0 -lX11 -Wl,--export-dynamic -l
gmodule-2.0 -pthread -lgtk-x11-2.0 -lgdk-x11-2.0 -lpangocairo-1.0 -latk-1.0 -lc
airo -lgdk_pixbuf-2.0 -lgio-2.0 -lpangoft2-1.0 -lpango-1.0 -lgobject-2.0 -lglib
-2.0 -lfontconfig -lfreetype -lg3d

 

Maxx alternatives

 

Resources:

[1] php+mysql https://sourceforge.net/projects/simple-invoice/

      demo http://obedalvarado.pw/simple-invoice/

[2] php+mysql https://sourceforge.net/projects/gatax/

 

Compile k3d in Ubuntu 16

 

Source http://www.k-3d.org/

Main errors:

INCLUDE(K3DFindFreetype2) # freetype6-dev

INCLUDE(K3DFindGtkmm) #DEBUG 

https://gtkmm.org/en/download.html #works with version 2.x

INCLUDE(K3DFindFTGL) #DEBUG

#To DEBUG Variables

message(STATUS "DEBUG: K3D_FREETYPE2_FOUND: ${K3D_FREETYPE2_FOUND}")
message(STATUS "DEBUG: Aqsis_FOUND: ${Aqsis_FOUND}")

#Support CUDA need to enable in CMakeLists.txt (main)

Day 2:

K3DFindBoost.cmake (update paths)

SET(K3D_BOOST_INCLUDE_DIR "/usr/local/include" CACHE PATH "Override the default location for Boost header files.")
SET(K3D_BOOST_LIBRARY_DIR "/usr/local/lib" CACHE PATH "Override the default location for Boost libraries.")

renderframe/CMakeLists.txt

LINK_DIRECTORIES() #add boost path

TARGET_LINK_LIBRARIES()  #add boost_regex boost_program_options boost_system boost_python27 boost_thread boost_date_time

 #disable CGAL

#K3D_CHECK(K3D_BUILD_CGAL_MODULE REQUIRES K3D_CGAL_FOUND RESOURCE "CGAL") #DEBUG

 

Houdini Resources

Models online
[1] Fluid, Physics models https://hdbp.io/browse?page=3

[2] Complete dops examples with Houdini files to download

https://www.tokeru.com/cgwiki/index.php?title=HoudiniDops

Nubank Status and Alternatives

 

 

References: 

[0] https://olhardigital.com.br/noticia/nubank-tem-prejuizo-de-r-313-milhoes-em-2019-mas-isso-nao-e-ma-noticia/97307

[1] Pt https://tecnoblog.net/237472/nubank-alternativas-cartao-de-credito/

Compile and Links snippets

 

 

[1] cmake parameters https://stackoverflow.com/questions/31387188/pass-variable-value-to-make-using-cmake

 

[2] PYTHONPATH https://www.devdungeon.com/content/python-import-syspath-and-pythonpath-tutorial

 

Deep Learning Architectures

[1] Helper using latex to Draw Net https://github.com/HarisIqbal88/PlotNeuralNet

[2] https://github.com/yosinski/deep-visualization-toolbox

[3] https://github.com/wagenaartje/neataptic

[4] .Appimage (viewer .h5 models) https://github.com/lutzroeder/netron

[5] 

!pip install visualkeras
import visualkeras
visualkeras.layered_view(modelobject)

[6] Quiver? https://github.com/ashishpatel26/Tools-to-Design-or-Visualize-Architecture-of-Neural-Network

References:

[1] https://datascience.stackexchange.com/questions/12851/how-do-you-visualize-neural-network-architectures/44571#44571

Boost 1.7 on Ubuntu16

 

 

https://www.boost.org/users/download/

Enable to work with Python3

cd boost1.7

 $./bootstrap.sh -with-libraries=python -with-python-version=3.6 
$./b2

$sudo ./b2 install

Lectures

 Alter ego

[1] https://amenteemaravilhosa.com.br/alter-ego/

Wavefront render

 By Code:

 [1] https://pyrender.readthedocs.io/en/latest/examples/quickstart.html

By Tools

[1] Blender (>=2.9) Add On  https://github.com/neverhood311/Stop-motion-OBJ

3D Deep Learning

 

https://github.com/mit-han-lab/pvcnn

https://paperswithcode.com/paper/octnet-learning-deep-3d-representations-at

Numeric methods to solve PDE

 

 

[1] http://www.maths.dur.ac.uk/~dma0bmp/

 

Pdf Listen tools

 

 

http://freesoftwaremagazine.com/articles/listen_your_books_epub_pdf_okular/

 https://askubuntu.com/questions/633337/pdf-reader-that-can-read-out-loud

Installed this extension on chrome called readaloud

https://www.sodapdf.com/pdf-reader/  (Just for open pdf online)

Python Animation Matrix Convolution

 

[1] Convolution animation https://stackoverflow.com/questions/52067833/how-to-plot-an-animated-matrix-in-matplotlib

Python - Read binary data int float

 

[1] struct https://docs.python.org/3.0/library/struct.html 

Toefl Resources (English Exam)

 

 

https://www.ets.org/s/cv/toefl/the-americas/

 

Listening

[1] Example https://www.ets.org/toefl_itp/content/sample_questions

[2] 65 Listen tests https://englishteststore.net/

[3] Toefl Listen https://englishteststore.net/index.php?option=com_content&view=article&id=11388&Itemid=2799

 

Edital Capes Print 

[1] https://www.gov.br/capes/pt-br/acesso-a-informacao/acoes-e-programas/bolsas/bolsas-e-auxilios-internacionais/informacoes-internacionais/programa-institucional-de-internacionalizacao-capes-print

[2] http://www.propp.ufu.br/sites/propp.ufu.br/files/conteudo/acontece_na_pro_reitoria/retificacao_do_edital-ufu-capes.print-bolsas-2019-25_03_19.pdf

Course

https://courses.edx.org/login

 

 

 

Mount Google Drive in local file system

 

[1]  https://ostechnix.com/how-to-mount-google-drive-locally-as-virtual-file-system-in-linux/

 

 

Mobile App Developer tool

Tools

[1] https://flutter.dev/docs/get-started/install/linux

Time series

https://towardsdatascience.com/the-complete-guide-to-time-series-analysis-and-forecasting-70d476bfe775

https://github.com/AileenNielsen/TimeSeriesAnalysisWithPython
https://github.com/aurea-soriano/PublicAnomalyDetection

 

Tools

[1] Smooth time series

https://machinelearningmastery.com/moving-average-smoothing-for-time-series-forecasting-python/


[2] Auto encoders https://towardsdatascience.com/autoencoders-for-the-compression-of-stock-market-data-28e8c1a2da3e