Is dash suitable for Computer vision dataset visualisation purpose?

Dash Python
4

Hmm, share an example of what? An app which shows images in a grid?

import dash
from dash import html, dcc
import dash_bootstrap_components as dbc
import plotly.graph_objs as go
import numpy as np

# create an image
img = np.random.randint(0, 255, size=(640, 640))

# grid shape (4 rows, 3 columns)
grid = np.zeros((4, 3))
rows, _ = grid.shape

content = []
for r in range(rows):
    row = grid[r, :]
    row_content = []
    for c in row:
        row_content.append(
            dbc.Col(
                # that is the actual content of the grid, in this case just one graph
                dcc.Graph(
                    figure=go.Figure(
                        data=go.Heatmap(z=img),
                        layout={
                            'width': 640,
                            'height': 640,
                            'xaxis': {'scaleanchor': 'y'}
                        },
                    )
                )
            )
        )
    dbc_rows = dbc.Row(
        children=row_content,
        justify='center',
    )
    content.append(dbc_rows)

app = dash.Dash(__name__, external_stylesheets=[dbc.themes.BOOTSTRAP])

app.layout = html.Div(
    [
        dbc.Container(
            id='container',
            children=content,
            fluid=True
        ),
    ]
)

if __name__ == '__main__':
    app.run(debug=True)

mred layout grid