vizy 1.3.0

Tiny tensor visualiser: vz.plot(t) / vz.save(t)

vizy: One-line tensor visualization for PyTorch and NumPy

Stop juggling tensor formats. Just visualize.

Display or save any NumPy array or PyTorch tensor (supports 2D, 3D, 4D shapes) with a single line:

import vizy

vizy.plot(tensor)               # shows image or grid
vizy.save("image.png", tensor)  # saves to file
vizy.save(tensor)               # saves to temp file and prints path
vizy.summary(tensor)            # prints info like res, dtype, device, range, etc.

Let's say you have a PyTorch tensor with shape (BS, 3, H, W). Instead of

plt.imshow(tensor.cpu().numpy()[0].transpose(1, 2, 0))
plt.imshow(tensor.cpu().numpy()[1].transpose(1, 2, 0))
...

You can just do:

vizy.plot(tensor)

Example output:

Or if you are in an ssh session, you can just do:

vizy.save(tensor)

It will automatically save the tensor to a temporary file and print the path, so you can scp it to your local machine and visualize it.

Technical Details

Note: This library uses PIL/Pillow for image visualization and saving. This library handles tensor format detection, conversion, and grid layout, but the actual plotting is done via PIL.

Installation

pip install vizy