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import acquire
runtime = acquire.Runtime() # initializes driver adapters

# All the settings are in the `props`
# Configuration objects are typed. 
# They can all be made into a dict. e.g: props.dict()
# They can also be read from a dict. e.g. Properties(**json.load('acquire.json')))
p = runtime.get_configuration() 

# Camera configuration

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w = LoadWhiskers('trial.whiskers');
measurements = LoadMeasurements('trial.measurements');

whisker_id=0;  % the tracked whisker of interest
frame_id=100;  % the time point of interest

times    = [measurements(:).fid];
names    = [measurements(:).label];
curveids = [measurements(:).wid];

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void encode()
{ unsigned char *input, *output=0;      // input and output buffer
  size_t countof_input, countof_output; // number of symbols in input and output buffer
  float *cdf=0;
  size_t nsym;                          // number of symbols in the input alphabet
  // somehow load the data into input array
  cdf_build(&cdf,&nsym,input,countof_input);
  encode_u1_u8(                         // encode unsigned chars to a string of bits (1 bit per output symbol)
    (void**)&out,&countof_output,
            input, countof_input,

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import traj
from numpy import *
from pylab import *

data = traj.MeasurementsTable('trial.measurements').asarray()

dt = 0.002 # seconds per frame

for i in xrange(data[:,0].max()+1):
  mask = data[:,0]==i

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%% Load the file
measurements = LoadMeasurements('trial.measurements')

%% Set the frame rate
dt = 0.002; %seconds per frame

%% Get the data and plot
%  Note: Be careful about the data types returned in the measurements struct.
%        They're not all doubles.