Lag when adding small scatters to large heatmap animations

I've noticed that adding a very small scatter to a large animation will make the lag when moving between frames very bag when working on a project requiring visualization of bboxes of segmentation outputs. If I don't have the bboxes then then there is no lag after startup. With bboxes it becomes very noticeable that the rerender is happening, and as the size of the heatmap increases it becomes worse. Is there a way to make it more smooth?

ADD_BBOXES=True
import numpy as np
import plotly.graph_objects
mock_segmentation_1 = plotly.graph_objects.Heatmap(
    z=np.random.randint(0, 100, (2000,512)),
)
mock_segmentation_2 = plotly.graph_objects.Heatmap(
    z=np.random.randint(0, 2, (2000,512)),
)
mock_bbox_1 = plotly.graph_objects.Scatter(
                                x=[100,100,400,400],
                                y=[200,500,500,200],
                                fillcolor="rgba(255,255,255)",
                                fill="toself",
                                hoveron="fills",
                                hoverinfo="text",
                                text='bbox1',
                                mode="lines",
                                showlegend=False,
                            )
mock_bbox_2 = plotly.graph_objects.Scatter(
                                x=[100,100,2000,2000],
                                y=[2000,500,500,2000],
                                fillcolor="rgba(255,255,255)",
                                fill="toself",
                                hoveron="fills",
                                hoverinfo="text",
                                text='bbox1',
                                mode="lines",
                                showlegend=False,
                            )


data1 = [mock_segmentation_1]
data2 = [mock_segmentation_2]
if ADD_BBOXES:
    data1 = [mock_segmentation_1, mock_bbox_1]
    data2 = [mock_segmentation_2, mock_bbox_2]


frames = [{'data': data1, 'name': '1'}, {'data': data2, 'name': '2'}]
figure_dict = {
    "data": frames[0]["data"],
    "frames": frames,
    "layout": {
        "sliders": [
            {
                "steps": [
                    {
                        "method": "animate",
                        "label": f"Frame {fname}",
                        "args": [
                            [fname],
                            {
                                "mode": "immediate",
                                "frame": {"redraw": True},
                                "transition": {'duration': 0},
                            },
                        ],
                    }
                    for fname in ['1', '2']
                ]
            }
        ],
    },
}
plotly.graph_objects.Figure(figure_dict)

https://github.com/user-attachments/assets/5a7af1d5-6afc-40ce-b45d-f965507c79bd

https://github.com/user-attachments/assets/16fd1a62-64bd-4d6d-882e-3d46189bc224

I tried to fix this by turning off the visibility of the scatter frames, adding this to the layout. However, the lag persists as long as the bboxes exist, even if they are not visible.

"updatemenus": [
            {
                'buttons': [
                    {
                        'args': [{'visible': [True, True]}],
                        'label': 'Enable BBoxes',
                        'method': 'update'
                    }, {
                        'args': [{'visible': [True, False]}],
                        'label': 'Disable BBoxes',
                        'method': 'update'
                    }
                ]
            }
        ]

まず、提供されている plotly.graph_objects.Figure の例を実行し、ADD_BBOXES を有効化した場合、無効化した場合、updatemenus のコントロールから非表示にした場合でアニメーションを比較します。Heatmap と Scatter のフレーム更新動作を追跡し、非アクティブな bbox が依然として redraw 時間に影響する理由を特定します。bbox トレースが存在する状態で大きな Heatmap フレームがスムーズに切り替われば完了です。