Image Utilitie Show

Every trained model allows for a model.show() function that will output the data in a format that follows the dataset's form. A few examples can be seen below.

Dataset Example:

To learn more about the MNIST handwritten dataset.

from EasyNN.examples.mnist.number.trained import model
from EasyNN.examples.mnist.number.data import dataset

images, labels = dataset

model.show(images[0])

Output:

Downloaded Example:

This functionality can also be paired up with downloaded images that are properly sized.

from EasyNN.examples.mnist.fashion.trained import model
from EasyNN.utilities import Preprocess, download

download("dress.jpg","https://bit.ly/3b7rsXF")

format_options = dict(
    grayscale=True,
    invert=True,
    process=True,
    contrast=5,
    resize=(28, 28),
    rotate=0,
)

# Converting your image into the correct format for the mnist fashion dataset.
image = Preprocess("dress.jpg").format(**format_options)

# Show the image after it has been processed.
model.show(image)

# Classify what the image is using the pretrained model.
print(model.classify(image))

Output: