ptweir

#! /usr/bin/env python2.7
import matplotlib.pyplot as plt
import numpy as np
import scipy.misc
import tifffile

DOWNSAMPLE = 20  # determines the smoothing in pixels
METERS_PER_FOOT = .3048  # for conversion from feet to meters
ELEVATIONS = [-2000., -200., 0., 200., 2000.]  # elevations (in feet) that will become layers

ptweir

//=============================================================================
// Copyright © 2009 Point Grey Research, Inc. All Rights Reserved.
//
// This software is the confidential and proprietary information of Point
// Grey Research, Inc. ("Confidential Information").  You shall not
// disclose such Confidential Information and shall use it only in
// accordance with the terms of the license agreement you entered into
// with PGR.
//
// PGR MAKES NO REPRESENTATIONS OR WARRANTIES ABOUT THE SUITABILITY OF THE

ptweir

### MATPLOTLIBRC FORMAT

# This is a sample matplotlib configuration file - you can find a copy
# of it on your system in
# site-packages/matplotlib/mpl-data/matplotlibrc.  If you edit it
# there, please note that it will be overwritten in your next install.
# If you want to keep a permanent local copy that will not be
# overwritten, place it in the following location:
# unix/linux:
#     $HOME/.config/matplotlib/matplotlibrc or

ptweir

import numpy as np
import matplotlib.pyplot as plt
from figurefirst import FigureLayout

layout = FigureLayout('hello_world_layout.svg')
layout.make_mplfigures()
ax = layout.axes['ax_name']['axis']

x = np.arange(10)
y = x**2

ptweir

import pyqtgraph as pg
import numpy as np  
import pyqtgraph.exporters

def make_tree(order, theta, sz, basePosition, heading, data):

    trunk_ratio = 0.55
    trunk = sz * trunk_ratio
    deltaX = trunk * np.cos(heading)
    deltaY = trunk * np.sin(heading)

ptweir

import numpy as np
from libtiff import TIFFfile
from libtiff import TIFF

def read(fileName):
    """
    Script to import tif file from imageJ,
    usage: zstack =  tiff.read(inFileName)

    PTW 2015/01/29

ptweir

import numpy as np
import matplotlib.pyplot as plt
plt.ion()
from pylsm import lsmreader

imageFile = lsmreader.Lsmimage(lsmFileName)
imageFile.open()

xLen = imageFile.header['Image'][0]['CZ LSM info']['Dimension X']
yLen = imageFile.header['Image'][0]['CZ LSM info']['Dimension Y']

ptweir

import numpy as np

def hstack_uneven(a,b,mxn=max,align='top',fill=0):
    heighta, widtha = a.shape[0], a.shape[1]
    heightb, widthb = b.shape[0], b.shape[1]
    
    outShape = np.array(a.shape)
    outShape[0] = mxn(heighta,heightb)
    outShape[1] = widtha+widthb
    out = np.zeros(outShape,dtype=a.dtype)+fill

ptweir

import numpy as np
import matplotlib.pyplot as plt
plt.ion()
import scipy.interpolate

def interpolate_to_common_samplerate(Y, X=None, t=None):
    if t is None:
        if X is None:
            t = np.arange(len(Y[0]),dtype='float')
        else:

ptweir

import argparse # need to install argparse: sudo apt-get install python-argparse
import os, ast
import numpy as np
import motmot.FlyMovieFormat.FlyMovieFormat as FMF
import pylab
pylab.ion()
import roslib
roslib.load_manifest('rosbag')
import rosbag