Photo by ZMorph Multitool 3D Printer I recently recorded a four-part video series for my Youtube channel on how I attempted to create a 3D model out of a photo, using Python, Numpy, and Google Colab.

This library provides a data structure, Sparse, which represents 3D volumetric data and supports a subset of np.ndarray features.

Alternatively, we can split the 3D array into three 2D arrays, one for each colour channel. Note, this is different from above where we kept the entries as RGB vectors, where just two entries were 0.

[Ben Bartlett] recently got engaged, and the proposal had a unique bit of help in the form of a 3D-printed hexagonal mirror array, whose mirrors are angled just right to spell out a message with th… ...