Quickstart
A jump-start guide to using Hub.
Hub can be installed through pip.
$ pip3 install hub
Let's load MNIST, the hello world dataset of machine learning.
First, instantiate a Dataset by pointing it to the dataset's locations. Datasets hosted on Activeloop Platform are typically identified by the namespace of the organization followed by the dataset name: activeloop/mnist-train.
import hubdataset_path = 'hub://activeloop/mnist-train'ds = hub.load(dataset_path) # Returns a Hub Dataset but does not download data locally
Data is not immediately read into memory because Hub operates lazily. You can fetch data by calling the.numpy()method, which reads data into a numpy array.
# IndexingW = ds.images[0].numpy() # Fetch an image and return a numpy arrayX = ds.labels[0].numpy(as_list=True) # Fetch a label and store it as a# list of numpy arrays# SlicingY = ds.images[0:100].numpy() # Fetch 100 images and return a numpy array# The method above produces an exception if# the images are not all the same sizeZ = ds.labels[0:100].numpy(as_list=True) # Fetch 100 labels and store# them as a list of numpy arrays
Congratulations, you've got Hub working on your local machine🤓