User’s Guide¶
After launching the python interpreter (assuming that the environment is properly set up), you can access samples from this database like the following:
>>> import bob.db.mnist
>>> db = bob.db.mnist.Database()
>>> images, labels = db.data(groups='train', labels=[0,1,2,3,4,5,6,7,8,9])
In this case, this should return two numpy.ndarray
s:
- images contain the raw data (60,000 samples of dimension 784 [28x28 pixels images])
- labels are the corresponding classes (digits 0 to 9) for each of the 60,000 samples
Todo
Improve users guide.