Nick Gravish nickgravish

adopted from https://scivision.co/anaconda-python-opencv3/

cmake -DBUILD_TIFF=ON -DBUILD_opencv_java=OFF -DWITH_CUDA=OFF -DENABLE_AVX=ON -DWITH_OPENGL=ON -DWITH_OPENCL=ON -DWITH_IPP=ON -DWITH_TBB=ON -DWITH_EIGEN=ON -DWITH_V4L=ON -DBUILD_TESTS=OFF -DBUILD_PERF_TESTS=OFF -DCMAKE_BUILD_TYPE=RELEASE -DCMAKE_INSTALL_PREFIX=$(python3 -c "import sys; print(sys.prefix)") -DPYTHON_EXECUTABLE=$(which python3) -DPYTHON_INCLUDE_DIR=$(python3 -c "from distutils.sysconfig import get_python_inc; print(get_python_inc())") -DPYTHON_PACKAGES_PATH=$(python3 -c "from distutils.sysconfig import get_python_lib; print(get_python_lib())") -FFMPEG_INCLUDE_DIR " /usr/local/Cellar/ffmpeg/2.5.3/include/" -FFMPEG_LIB_DIR "/usr/local/Cellar/ffmpeg/2.5.3/lib" -WITH_FFMPEG 1 -BUIILD_opencv_python2 ..

on the laptop

cmake -DBUILD_TIFF=ON -DBUILD_opencv_java=OFF -DWITH_CUDA=OFF -DENABLE_AVX=ON -DWITH_OPENGL=ON -DWITH_OPENCL=ON -DWITH_IPP=ON -DWITH_TBB=ON -DWITH_EIGEN=ON -DWITH_V4L=ON -DBUILD_TESTS=OFF -DBUILD_PERF_TESTS=OFF -DCMA

Starting with R installed from the download on the CRAN website.

install rpy2 from source using

python setup.py build install

running the unit test gives

To add a custom python module so that I can access it everywhere

Make the python module, use a simple directory structure

  ~/Python/modulename/
    -> readme.md
    -> modulename/
 -&gt; __init__.py

How to setup a python environment for running bleeding edge popupcad

Here are the steps to run the development version of popupcad on a Mac OSX (Yosemite).

Install commands to be copy and pasted into the command line

yes | conda create -n popupcad_env python=3.4
source activate popupcad_env

http://wiki.ros.org/ROS/Tutorials/MultipleMachines

Fix networking issue "no "AF_INET"

http://answers.ros.org/question/163556/how-to-solve-couldnt-find-an-af_inet-address-for-problem/

pyqtgraph/pyqtgraph#104

conda install PyOpenGL PyOpenGL-accelerate

Connect an update function to a qt timer

http://stackoverflow.com/questions/18080170/what-is-the-easiest-way-to-achieve-realtime-plotting-in-pyqtgraph

Steps to install opencv3 for use with Python 3 and h264 videos

On fresh install of ubuntu download and install conda (I like to work with Conda)
To get h264 videos working we need to install the codec. We also need to install ffmpeg for opencv. First the code

sudo apt-get install ubuntu-restricted-extras

Install and compile ffmpeg based on [https://trac.ffmpeg.org/wiki/CompilationGuide/Ubuntu]{https://trac.ffmpeg.org/wiki/CompilationGuide/Ubuntu}


import matplotlib # for pycharm
matplotlib.backend('Qt4Agg') # for pycharm

import numpy as np
import cv2 as cv
import matplotlib.pyplot as plt

	def test_foo(k):
	t = np.linspace(0,1,1000)
	plt.figure(figsize=(8,2.5))
	plt.plot(t, np.sin(t*k))

	interact(test_foo, k=(0,1000))

	# for new ipython
	%load_ext rpy2.ipython
	import rpy2.robjects as robjects
	from rpy2.robjects.packages import importr
	import rpy2.robjects.packages as rpackages
	from rpy2.robjects.vectors import StrVector

	# This now installs the packages, so only need to run once
	utils = rpackages.importr('utils')
	utils.chooseCRANmirror(ind=2) # select the first mirror in the list