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Runtime error
| import os | |
| from PIL import Image | |
| from zeno import distill | |
| from zeno.api import DistillReturn | |
| def get_brightness(im): | |
| im_grey = im.convert("LA") | |
| width, height = im.size | |
| total = 0 | |
| for i in range(0, width): | |
| for j in range(0, height): | |
| total += im_grey.getpixel((i, j))[0] | |
| return total / (width * height) | |
| def get_border_brightness(im): | |
| im_grey = im.convert("LA") | |
| width, height = im.size | |
| total = 0 | |
| for i in range(0, width): | |
| for j in range(0, 5): | |
| total += im_grey.getpixel((i, j))[0] | |
| for i in range(0, width): | |
| for j in range(height - 5, height): | |
| total += im_grey.getpixel((i, j))[0] | |
| return total / (width * 10) | |
| def brightness(df, ops): | |
| imgs = [Image.open(os.path.join(ops.data_path, img)) for img in df[ops.data_column]] | |
| return DistillReturn(distill_output=[get_brightness(im) for im in imgs]) | |
| def border_brightness(df, ops): | |
| imgs = [Image.open(os.path.join(ops.data_path, img)) for img in df[ops.data_column]] | |
| return DistillReturn(distill_output=[get_border_brightness(im) for im in imgs]) | |