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image-processing

An image's NumPy shape and dtype

taught

np.array, .shape, and the one fact Chapter 00 didn't need yet, .dtype -- reading what kind of number each pixel is stored as.

Taught in

An image is a NumPy array
Digital Image Processing

Requires

numpy-image-array-conventions required

Required by

Pillow (PIL): Image objects, .size, and the array bridge required
The channel axis, RGBA shape, and the ellipsis shortcut required
uint8 vs. float arithmetic, and np.clip required

Local knowledge map

Local knowledge map

Click to expand

Solid arrows are required prerequisites; dashed are recommended or helpful. Lower rows are more foundational. Click any box to jump to that concept.