andrewbolster

#!/bin/bash
BASE="/mnt/eventcam/"
COMPRESS=0
RERUN=0
UPLOAD=1
TODAY=`date +%Y%m%d`
# Move all jpgs in to per date folder for processing
for file in `find $BASE -maxdepth 1 -name '*.jpg' -type f -print`; do
	newfilename=`echo $file | awk -F '-' '{print $2$3}'`
	date=`echo $newfilename | cut -c 1-8` 

andrewbolster

# Check for updates on initial load...
if [ "$DISABLE_AUTO_UPDATE" != "true" ]; then
  /usr/bin/env ZSH=$ZSH DISABLE_UPDATE_PROMPT=$DISABLE_UPDATE_PROMPT zsh $ZSH/tools/check_for_upgrade.sh
fi

# Initializes Oh My Zsh

# add a function path
fpath=($ZSH/functions $ZSH/completions $fpath)

andrewbolster

➜  _posts git:(master) ✗ file 2014-01-20-schreibdochmal_19_01_14.md 
2014-01-20-schreibdochmal_19_01_14.md: exported SGML document, UTF-8 Unicode (with BOM) text, with very long lines
➜  _posts git:(master) ✗ file 2014-01-11-the-making-of-a-timelapse.md 
2014-01-11-the-making-of-a-timelapse.md: ASCII text, with very long lines

andrewbolster

awk '{if(NR==1)sub(/^\xef\xbb\xbf/,"");print}' INFILE > OUTFILE

andrewbolster

            if Pos_Component == 3:
                Actual_Pos_Index = Actual_Pos_Index + Configurable_Parameters.Number_Of_State_Vector_Components_Per_Probe - 3
            Inertial_Pos_Measurement[(Index - 1), :] = Measurements[(Index - 1), :]
            Inertial_Pos_Err[(Index - 1), :] = Inertial_Pos_Measurement[(Index - 1), :] - Actual_Pos[
                                                                                          (Index - 1), :]

andrewbolster

Error
Traceback (most recent call last):
  File "/home/bolster/src/aietes/src/contrib/Ghia/ecea/mfiles/test_ecea.py", line 53, in test_Phi
    oct_phi = octave.Set_State_Propagation_Matrix(sim_conf)
  File "/usr/local/lib/python2.7/dist-packages/oct2py/session.py", line 364, in octave_command
    return self.call(name, *args, **kwargs)
  File "/usr/local/lib/python2.7/dist-packages/oct2py/session.py", line 177, in call
    argin_list, load_line = self._writer.create_file(inputs)
  File "/usr/local/lib/python2.7/dist-packages/oct2py/matwrite.py", line 69, in create_file
    savemat(self.in_file, data, appendmat=False, oned_as='row')

andrewbolster

10:51 <bolster> Is it passable to describe a movie as being "If Ed Wood and Christopher Walken had a thalidomide baby" or is that too much?
10:51 <bolster> Oh, maybe should have started with "Morning"
10:56 <clairebones> bolster: if it's the movie I think you're referring to it's probably apt
10:58 <^Richard> o_O
10:59 <bolster> clairebones: yup, just concious that as a statement it sits on the very bloodiest edge of decorum. Much like the movie.
11:02 <stealthii> film in question: http://imgur.com/C0PoSVX
11:03 <^Richard> even the description is fucking mental.
11:03 <stealthii> that's my favourite bit.
11:04 <stealthii> of course he didn't hit her
11:04 <stealthii> men don't hit.

andrewbolster

Keybase proof

I hereby claim:

• I am andrewbolster on github.
• I am bolster (https://keybase.io/bolster) on keybase.
• I have a public key whose fingerprint is 03D4 CCE9 AC04 1177 3D00 924D 49DC 9F11 AEFD 5969

To claim this, I am signing this object:

andrewbolster

def random_three_vector():
    """
    Generates a random 3D unit vector (direction) with a uniform spherical distribution
    Algo from http://stackoverflow.com/questions/5408276/python-uniform-spherical-distribution
    :return:
    """
    phi = np.random.uniform(0,np.pi*2)
    costheta = np.random.uniform(-1,1)

    theta = np.arccos( costheta )

andrewbolster

    def update_filter(self):
        #####################################################################################
        #                                KALMAN STEP                                        #
        #####################################################################################
        t = self.t_index
        #_Y = np.vstack(np.concatenate((self.Inertial_Measurement.flatten(),self.TOF_Measurement.flatten())))
        Y = np.vstack(self.SIM.Measurement)

        # Form estimated error correction of positions form reduced form
        # Y is the positions observed, and is corrected by the X_estimation from the previous round