feat: Update A-Scan filters page with new options and input field
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@ -12,16 +12,16 @@ dash.register_page(
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)
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# on définit le dossier et les fichiers à lire
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# dossier = "Dataset/Shear_transform"
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# fichiers_selectionnes = [
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# "Shear_x001-x101_y{:03d}_Rot00_transform.csv".format(i) for i in range(10, 14)
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# ]
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dossier = "Dataset/Shear_transform"
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fichiers_selectionnes = [
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"Shear_x001-x101_y{:03d}_Rot00_transform.csv".format(i) for i in range(10, 14)
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]
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# on charge le fichier numpy
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fichiers = np.load("Dataset/npy/3D_Dataset_Long_Wave_Rot00.npy")
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# on lit les fichiers et on les met dans un tableau
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pre_volume = np.array(fichiers)
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pre_volume = np.array(lire_fichier_csv(dossier, fichiers_selectionnes))
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volume = pre_volume[:, ::32, :]
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dim_z, dim_x, dim_y = volume.shape
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@ -43,13 +43,31 @@ configAScan = {
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layout = html.Div(
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[
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dbc.Select(
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id="select-ascan-filter",
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options=[
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{"label": "Option 1", "value": "1"},
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{"label": "Option 2", "value": "2"},
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],
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style={"margin-bottom": "15px"},
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dbc.Row(
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[
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dbc.Col(
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[
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dbc.Select(
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id="select-ascan-filter",
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options=[
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{"label": "Option 1", "value": "1"},
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{"label": "Option 2", "value": "2"},
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],
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style={"margin-bottom": "15px"},
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),
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]
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),
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dbc.Col(
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[
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dbc.Button(
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id="button-validate-filter",
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children="Valider",
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color="primary",
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style={"marginBottom": "15px"},
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),
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]
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),
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]
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),
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dbc.Checklist(
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options=[
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@ -73,6 +91,13 @@ layout = html.Div(
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str(i): str(i) for i in range(1, dim_x + 1, max(1, int(dim_x / 20)))
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},
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),
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dbc.Input(
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id="input-ascan-solo",
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type="number",
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placeholder="Valeurs",
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step=0.1,
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style={"marginTop": "15px"},
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),
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],
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style={"padding": "20px"},
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)
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@ -81,9 +106,15 @@ layout = html.Div(
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# callback to update the heatmap
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@callback(
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Output("heatmap-ascan-solo", "figure"),
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[Input("select-ascan-filter", "value"), Input("layer-slider-ascan-solo", "value"), Input("absolute-values-ascan", "value")],
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[
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Input("select-ascan-filter", "value"),
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Input("layer-slider-ascan-solo", "value"),
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Input("absolute-values-ascan", "value"),
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Input("button-validate-filter", "n_clicks"),
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Input("input-ascan-solo", "value"),
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],
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)
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def update_heatmap_ascan(value, layer, absolute_values):
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def update_heatmap_ascan(filter, layer, absolute_values, n_clicks, input_value):
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# TODO: implement the filter
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fig = px.line(y=volume[layer - 1, :, 5], title="A-scan")
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