I have managed to load images in a folder using the command line sklearn: load_sample_images()
I would now like to convert it to a numpy.ndarray format with float32 datatype
I was able to convert it to np.ndarray using : np.array(X), however np.array(X, dtype=np.float32) and np.asarray(X).astype('float32') give me the error:
ValueError: setting an array element with a sequence.
Is there a way to work around this?
from sklearn_theano.datasets import load_sample_images import numpy as np
kinect_images = load_sample_images() X = kinect_images.images
X_new = np.array(X) # works X_new = np.array(X[1], dtype=np.float32) # works
X_new = np.array(X, dtype=np.float32) # does not work
np.array(x)is successful. If it is float64 which is the default - then you are simply trying to assign a type which is not suitable for your list (or list of lists). – ha9u63ar Nov 10 '14 at 19:00