Manoj Bhat Manojbhat09

Ubuntu 18.04 Environment Configuration (from beginning to giving up)

-Learning to Optimally Segment Point Clouds. https://arxiv.org/pdf/1912.04976.pdf

-StarNet: Targeted Computation for Object Detection in Point Clouds. https://arxiv.org/pdf/1908.11069.pdf

-What You See is What You Get: Exploiting Visibility for 3D Object Detection. https://arxiv.org/pdf/1912.04986.pdf

-Streaming Object Detection for 3-D Point Clouds https://arxiv.org/pdf/2005.01864.pdf

	# Converting the ply files into the bin files

	import sys
	sys.path.remove('/opt/ros/kinetic/lib/python2.7/dist-packages')
	print("removed ros")

	import pyntcloud
	import numpy as np
	import glob
	import pdb

	sudo apt install cmake libavcodec-dev libavformat-dev libavutil-dev libboost-dev libdouble-conversion-dev libeigen3-dev libexpat1-dev libfontconfig-dev libfreetype6-dev libgdal-dev libglew-dev libhdf5-dev libjpeg-dev libjsoncpp-dev liblz4-dev liblzma-dev libnetcdf-dev libnetcdf-cxx-legacy-dev libogg-dev libpng-dev libpython3-dev libqt5opengl5-dev libqt5x11extras5-dev libsqlite3-dev libswscale-dev libtheora-dev libtiff-dev libxml2-dev libxt-dev qtbase5-dev qttools5-dev zlib1g-dev
	git clone https://gitlab.kitware.com/vtk/vtk.git VTK
	cd vtk
	git checkout v8.2.0
	mkdir build
	cd build
	cmake -DCMAKE_INSTALL_PREFIX=$HOME/vtk-inst \
	-DCMAKE_INSTALL_RPATH=$HOME/vtk-inst \
	-DVTK_Group_Qt=ON \
	-DVTK_QT_VERSION=5 \

	# Follow http://www.open3d.org/docs/release/compilation.html
	git clone --recursive https://github.com/intel-isl/Open3D
	cd open3d
	util/scripts/install-deps-ubuntu.sh
	mkdir build
	cd build
	cmake -DPYTHON_EXECUTABLE=/path/to/my/python ..
	make -j5
	make install

	# Replace ubuntu1604 with ubuntu1804
	sudo apt-key adv --fetch-keys http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64/7fa2af80.pub
	sudo bash -c 'echo "deb http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64 /" > /etc/apt/sources.list.d/cuda.list'
	sudo apt update
	sudo apt install cuda-10-0 --yes

	# Cudnn: download library from https://developer.nvidia.com/rdp/cudnn-download
	# Extract the tgz file
	sudo cp cuda/include/cudnn.h /usr/local/cuda-10.0/include/
	sudo cp cuda/lib64/libcudnn* /usr/local/cuda-10.0/lib64/ -r

	sudo apt-get update
	sudo apt-get install --reinstall ubuntu-desktop gnome-panel gnome-settings-daemon metacity nautilus gnome-terminal
	sudo apt-get update
	sudo apt-get upgrade


	Brython
	Skulpt
	PyPy.js
	Transcrypt
	Pyodide


	Good Summary of current methods:
	https://stackoverflow.com/questions/30155551/python-in-browser-how-to-choose-between-brython-pypy-js-skulpt-and-transcrypt

	# Delete all but the most recent X files in bash
	ls -tp \| grep -v '/$' \| tail -n +6 \| xargs -I {} rm -- {}
	# +1 keeps 0 files, +4 keeps top 3 files
	# https://stackoverflow.com/questions/25785/delete-all-but-the-most-recent-x-files-in-bash