Source code for compressai_trainer.plot.rd

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from __future__ import annotations

from contextlib import suppress
from typing import TYPE_CHECKING, Any

if TYPE_CHECKING:
    import pandas as pd


_PLOT_RD_SCATTER_SETTINGS_COMMON = dict(
    x="bpp",
    color="name",
    hover_data=["psnr", "ms-ssim", "epoch"],
)

with suppress(ImportError):
    import plotly.express as px

    _PLOT_RD_SCATTER_SETTINGS_COMMON.update(
        dict(
            color_discrete_sequence=px.colors.qualitative.Prism,
        )
    )

_PLOT_RD_LAYOUT_SETTINGS_COMMON = dict(
    xaxis_title="Bit-rate [bpp]",
    xaxis=dict(range=[0.0, 2.25], tick0=0.0, dtick=0.25),
)

PLOT_RD_SETTINGS = {
    "psnr": {
        "scatter_kwargs": dict(
            **_PLOT_RD_SCATTER_SETTINGS_COMMON,
            y="psnr",
        ),
        "layout_kwargs": dict(
            **_PLOT_RD_LAYOUT_SETTINGS_COMMON,
            yaxis_title="PSNR [dB]",
            yaxis=dict(range=[26, 41], tick0=26, dtick=1),
        ),
    },
    "ms-ssim": {
        "scatter_kwargs": dict(
            **_PLOT_RD_SCATTER_SETTINGS_COMMON,
            y="ms-ssim",
        ),
        "layout_kwargs": dict(
            **_PLOT_RD_LAYOUT_SETTINGS_COMMON,
            yaxis_title="MS-SSIM",
            yaxis=dict(range=[0.9, 1.0], tick0=0.9, dtick=0.01),
        ),
    },
    "ms-ssim-db": {
        "scatter_kwargs": dict(
            **_PLOT_RD_SCATTER_SETTINGS_COMMON,
            y="ms-ssim-db",
        ),
        "layout_kwargs": dict(
            **_PLOT_RD_LAYOUT_SETTINGS_COMMON,
            yaxis_title="MS-SSIM [dB]",
            yaxis=dict(range=[10, 24], tick0=10, dtick=1),
        ),
    },
}


[docs]def plot_rd( df: pd.DataFrame, metric: str = "psnr", scatter_kwargs: dict[str, Any] = {}, layout_kwargs: dict[str, Any] = {}, ): """Plots RD curve.""" import plotly.express as px from plotly.subplots import make_subplots scatter_kwargs = {**PLOT_RD_SETTINGS[metric]["scatter_kwargs"], **scatter_kwargs} layout_kwargs = {**PLOT_RD_SETTINGS[metric]["layout_kwargs"], **layout_kwargs} fig = make_subplots() fig = px.line(df, **scatter_kwargs, markers=True) fig.update_layout(**layout_kwargs) # Highlight important traces. for trace in fig.data: if not trace.name.endswith("*"): continue trace.marker.symbol = "star" trace.marker.size = 10 return fig