def test_easy_plot():
thing = DataContainer(im=np.random.randn(30, 40),
line=np.sin(np.arange(100) / 10.),
struct={'video': np.random.randn(17, 20, 30)},
text='adsagfdsf',
number=5)
ezplot(thing, hang=False)
def test_easy_plot():
thing = DataContainer(
im =np.random.randn(30, 40),
line = np.sin(np.arange(100)/10.),
struct = {'video': np.random.randn(17, 20, 30)},
text = 'adsagfdsf',
number = 5
)
ezplot(thing, hang = False)
def test_plot_wmat():
wmat = np.random.randn(7, 28, 28)
ezplot(wmat, hang=False)
y_ts = y_ts[:n_test_samples]
return DataSet(training_set=DataCollection(x_tr, y_tr), test_set=DataCollection(x_ts, y_ts), name = 'CIFAR-10')
def get_cifar_10_labels():
return [
'airplane',
'automobile',
'bird',
'cat',
'deer',
'dog',
'frog',
'horse',
'ship',
'truck']
if __name__ == '__main__':
from artemis.plotting.easy_plotting import ezplot
dataset = get_cifar_10_dataset()
n_samples = 100
ezplot({
'sampled training images': np.rollaxis(dataset.training_set.input[:n_samples], 1, 4),# np.swapaxes(dataset.training_set.input[:n_samples], 1, 3).reshape(10, 10, 32, 32, 3),
'sampled training labels': dataset.training_set.target[:n_samples].reshape(10, 10)
}, cmap = 'jet')
return DataSet(training_set=DataCollection(x_tr, y_tr), test_set=DataCollection(x_ts, y_ts), name = 'CIFAR-10')
def get_cifar_10_labels():
return [
'airplane',
'automobile',
'bird',
'cat',
'deer',
'dog',
'frog',
'horse',
'ship',
'truck']
if __name__ == '__main__':
from artemis.plotting.easy_plotting import ezplot
dataset = get_cifar_10_dataset()
dataset = get_cifar_100_dataset()
n_samples = 100
ezplot({
'sampled training images': np.rollaxis(dataset.training_set.input[:n_samples], 1, 4),# np.swapaxes(dataset.training_set.input[:n_samples], 1, 3).reshape(10, 10, 32, 32, 3),
'sampled training labels': dataset.training_set.target[:n_samples].reshape(10, 10)
}, cmap = 'jet')
input("Enter to exit")
def test_plot_wmat():
wmat = np.random.randn(7, 28, 28)
ezplot(wmat, hang = False)