The code `img = np.transpose(img, (2, 0, 1))` transposes the...

The code img = np.transpose(img, (2, 0, 1)) transposes the axes (dimensions) of a NumPy array called img. Here's a breakdown of what it does:

1. img is assumed to be a multi-dimensional NumPy array, likely representing an image.

   • For example, img might be a 3D array with shape (height, width, channels) (HWC), which is a common format for storing color images. In this format, height and width represent the image dimensions, while channels represent the color channels (e.g., RGB).

2. np.transpose rearranges the axes of the array according to the specified order (2, 0, 1).

   • In this case, axis 0 (height) becomes the second axis, axis 1 (width) becomes the third axis, and axis 2 (channels) becomes the first axis.

3. As a result, the array's shape is transformed from (height, width, channels) (HWC) to (channels, height, width) (CHW).

This kind of transformation is common when processing images in certain frameworks like PyTorch, where images are typically represented in the CHW format rather than HWC.

For example:

• If the original shape of img is (64, 64, 3) (a 64x64 image with 3 color channels - RGB),
• After running this code, the shape of img will be (3, 64, 64) (3 channels, each with a 64x64 matrix).