LASA Handwriting dataset loader and other tools for Python 2 and Python 3.
python3 -m pip install pylasadataset
Or
python3 -m pip install git+https://github.com/justagist/pylasadataset
- Dependencies:
apt install python-tk;pip install numpy scipy matplotlib. - Run
python setup.py install.
import pyLasaDataset as lasa
# DataSet object has all the LASA handwriting data files
# as attributes, eg:
angle_data = lasa.DataSet.Angle
sine_data = lasa.DataSet.Sine
# Each Data object has attributes dt and demos (For documentation,
# refer original dataset repo:
# https://bitbucket.org/khansari/lasahandwritingdataset/src/master/Readme.txt)
dt = angle_data.dt
demos = angle_data.demos # list of 7 Demo objects, each corresponding to a
# repetition of the pattern
# Each Demo object in demos list will have attributes pos, t, vel, acc
# corresponding to the original .mat format described in
# https://bitbucket.org/khansari/lasahandwritingdataset/src/master/Readme.txt
demo_0 = demos[0]
pos = demo_0.pos # np.ndarray, shape: (2,2000)
vel = demo_0.vel # np.ndarray, shape: (2,2000)
acc = demo_0.acc # np.ndarray, shape: (2,2000)
t = demo_0.t # np.ndarray, shape: (1,2000)
# To visualise the data (2D position and velocity) use the plot_model utility
lasa.utilities.plot_model(lasa.DataSet.BendedLine) # give any of the available
# pattern data as argument