CarlosGrohmann

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CarlosGrohmann

# cd "$(brew --repository)" && git fetch && git reset --hard origin/master

# install homebrew:
# /usr/bin/ruby -e "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)"

# unistall homebrew:
# /usr/bin/ruby -e "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/uninstall)"

# GRASS:

CarlosGrohmann

Install Gnumeric on mac OS/X

(adapted from: http://www.rumbud.com/d/how-to-install-gnumeric-and-other-linux-apps-on-mac-osx/)

Install homebrew

brew install gnumeric

Open the "Script editor" application and paste the following code:

CarlosGrohmann

Install Homebrew

ruby -e "$(curl -fsSL https://raw.github.com/mxcl/homebrew/go)"

Add PATH to ~/.bash_profile

export PATH=/usr/local/bin:$PATH

CarlosGrohmann

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]

CarlosGrohmann

#bash_profile for my macs

#prompt
export PS1="\u:\W$ "

export LC_ALL=en_US.UTF-8
export LANG=en_US.UTF-8

# PATH
export PATH=/usr/local/sbin:/usr/local/bin:/Users/guano/Library/Python/2.7/bin:/usr/local/opt/gdal2/bin:/usr/local/opt/liblas-gdal2/bin:$PATH