Bayer sorter

Visit the invrs-gym docs for the bayer sorter challenge.

The bayer sorter challenge is based on the “Pixel-level Bayer-type colour router based on metasurfaces” by Zou et al., and entails the design of a metasurface that sorts incident light in a wavelength-dependent way and takes the place of a traditional color filter.

The bayer sorter eval metric is defined as follows:

Show code cell source Hide code cell source

from invrs_gym import challenges

challenge = challenges.bayer_sorter()
docstring = challenge.eval_metric.__doc__
print("\n".join([s[8:] for s in docstring.split("Args")[0].split("\n")[2:-2]]))

The eval metric for the bayer sorter is the minimum of the red, green, and
blue efficiencies, where the efficiency fo a given color is the average
efficiency with which wavelengths associated with the color are coupled into
the appropriate subpixel(s).

Show code cell content Hide code cell content

import os
import plotly.express as px
from IPython import display
from invrs_leaderboard import data

df = data.leaderboard_dataframe(base_path="../../../")
grid_spacing_nm = challenge.component.spec.grid_spacing * 1000
df["minimum_width_nm"] = df["minimum_width"] * grid_spacing_nm
df["minimum_spacing_nm"] = df["minimum_spacing"] * grid_spacing_nm
df["minimum_length_scale_nm"] = df["minimum_length_scale"] * grid_spacing_nm

def _trim_filename(name):
    return name if len(name) < 40 else name[:25] + "..." + name[-12:]

df["file"] = [_trim_filename(f) for f in df["file"]]

def plot_challenge_metrics(challenge_name: str) -> display.DisplayHandle:
    challenge_df = df[df["challenge"] == challenge_name]
    fig = px.scatter(
        challenge_df,
        x="minimum_length_scale_nm",
        y="eval_metric",
        color="file_prefix",
        hover_data=["file", "minimum_width_nm", "minimum_spacing_nm", "binarization_degree"],
    )
    if not os.path.exists("_plots/"):
        os.mkdir("_plots/")
    filename = f"_plots/eval_metric_{challenge_name}.html"
    fig.write_html(filename)
    return display.display(display.HTML(filename))

plot_challenge_metrics("bayer_sorter")