In order to use this image in numpy you can convert the PIL image with `np.array`.

Here's an example:

```
from PIL import Image

# Open an image
img = Image.open("image.jpg")

# Convert the image to a numpy array
np_img = np.array(img)

# The shape is in HWC
np_img.shape
# => (128, 128, 3)
```

The resulting numpy array will be an array of integers between the 0 and 255 designating pixel values. The output shape is (height, weight, channels).

Once we have our asset loaded into numpy we can do lots of things such as manipulating the array, displaying it, or loading the numpy array into pytorch.
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