The code that maps rgb pixel inputs to ascii characters in the generate_grayscale_for_image() function can be written more efficiently by using matrix calculations from numpy. Currently, it looks like this:
for h in range(height):
for w in range(width):
rgba = pixels[w, h]
if rgba[3] != 255 and bgcolor is not None:
rgba = alpha_blend(rgba, bgcolor)
# ...
rgb = rgba[:3]
string += color[int(sum(rgb) / 3.0 / 256.0 * 16)]
string += "\n
The calculation int(sum(rgb) / 3.0 / 256.0 * 16) in the inner-body of the loop can be done on the pixels input variable when it's represented as a matrix. The code will likely become less readable, but a comment could be added to elaborate on the new calculations. With this optimization in place, I was able to build a program that converts webcam input images to ascii text with a really decent framerate.
The code that maps rgb pixel inputs to ascii characters in the
generate_grayscale_for_image()function can be written more efficiently by using matrix calculations from numpy. Currently, it looks like this:The calculation
int(sum(rgb) / 3.0 / 256.0 * 16)in the inner-body of the loop can be done on thepixelsinput variable when it's represented as a matrix. The code will likely become less readable, but a comment could be added to elaborate on the new calculations. With this optimization in place, I was able to build a program that converts webcam input images to ascii text with a really decent framerate.