Showing goal and tentative hand

.gitignore

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+__pycache__

aaaaa.py

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+import csv
+import numpy as np
+import plotly.graph_objects as go
+
+def get_datXYZ(gesto, data_path):
+    file_path = data_path + f"config{gesto}.csv"
+    with open(file_path, 'r') as file:
+        csv_reader = csv.reader(file)
+        data = list(csv_reader)
+    n = len(data)
+    coordinates = np.zeros((n, 21, 3))
+    for i, row in enumerate(data):
+        for j in range(21):
+            x, y, z = map(float, row[j*3 : (j+1)*3])
+            coordinates[i, j] = [x, y, z]
+    return coordinates
+
+def plot_3d_points(points_21_3d):    
+    # Create a scatter plot
+    colors = ['red', 'green', 'yellow', 'orange', 'blue'] 
+    colors = ["purple"]
+    colors += ["red"] * 4
+    colors += ["green"] * 4
+    colors += ["yellow"] * 4
+    colors += ["orange"] * 4
+    colors += ["blue"] * 4
+    fig = go.Figure(data=go.Scatter3d(
+        x=points_21_3d[:, 0],
+        y=points_21_3d[:, 1],
+        z=points_21_3d[:, 2],
+        mode='markers',
+        marker=dict(
+            size=5,
+            color=colors, 
+            opacity=0.8
+        )
+    ))
+
+    # Define the line segments
+    segments = [(0, 1), (1, 2), (2, 3), (3, 4), # Thumb, 4 segments
+                (0, 5), (5, 6), (6, 7), (7, 8), # Index, 4 segments
+                (0, 9), (9, 10), (10, 11), (11, 12), # Middle, 4 segments
+                (0, 13), (13, 14), (14, 15), (15, 16), # Ring, 4 segments
+                (0, 17), (17, 18), (18, 19), (19, 20)] # Little, 4 segments
+
+    # Create a Scatter3d trace for each segment and add to the figure
+    for segment in segments:
+        start_index, end_index = segment
+        start_point = points_21_3d[start_index]
+        end_point = points_21_3d[end_index]
+        
+        line = go.Scatter3d(
+            x=[start_point[0], end_point[0]],
+            y=[start_point[1], end_point[1]],
+            z=[start_point[2], end_point[2]],
+            mode='lines',
+            line=dict(color='black', width=2),
+            showlegend=False
+        )
+        
+        fig.add_trace(line)
+    
+    # Set axes labels and title
+    fig.update_layout(
+        scene=dict(
+            xaxis=dict(title='X'),
+            yaxis=dict(title='Y'),
+            zaxis=dict(title='Z')
+        ),
+        dragmode = 'orbit',
+        title='3D Random Points'
+    )
+    
+    # Return the figure
+    return fig

app.py

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+import gradio as gr
+import pandas as pd
+import numpy as np
+import matplotlib.pyplot as plt
+from mpl_toolkits.mplot3d import Axes3D
+from gradio.components import Slider, Number, Image, Dataframe, Textbox, Checkbox, Radio, Label, Plot
+import plotly.graph_objects as go
+import csv
+from aaaaa import get_datXYZ, plot_3d_points
+import PIL.Image
+
+data_path = "reference_data/"
+image_path = "images_configs/"
+
+def show_hand_3d(gesto, data_path, image_path):
+    datXYZ = get_datXYZ(gesto, data_path)
+    print(datXYZ.shape)
+    print(datXYZ)
+    first_row = datXYZ[0]  # Extract the first row of the array
+    reshaped_array = first_row[:63].reshape(21, 3)  # Reshape the first row to (21, 3)
+    hand_plot = plot_3d_points(reshaped_array)
+    image_filename = image_path + str(int(gesto)) + ".png"
+    print(image_filename)
+    image = PIL.Image.open(image_filename)
+    width, height = image.size
+    newsize = (width // 2, height // 2)
+    image = image.resize(newsize)
+    # image = Image(image_filename)  # Load the corresponding image
+    return image, hand_plot
+
+inputs = [
+    Number(value=42, precision=0, label="Number of Hand Configuration"),
+    Textbox(label="Data Path", value="reference_data/"),
+    Textbox(label="Image Path", value="images_configs/")
+]
+
+outputs = [Image(type="pil", shape=(50,50)), Plot()]
+
+title = "Hand 3D Visualization"
+description = "Enter the gesture number (gesto) and the data path (data_path) to visualize the hand in 3D."
+
+iface = gr.Interface(fn=show_hand_3d, 
+                    inputs=inputs, 
+                    outputs=outputs, 
+                    title=title, 
+                    description=description,
+                    allow_flagging="never")
+iface.launch()

example_gradio_app_doc.py

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+import altair as alt
+import gradio as gr
+import numpy as np
+import pandas as pd
+from vega_datasets import data
+
+
+def make_plot(plot_type):
+    if plot_type == "interactive_barplot":
+        source = data.movies.url
+
+        pts = alt.selection(type="single", encodings=['x'])
+
+        rect = alt.Chart(data.movies.url).mark_rect().encode(
+            alt.X('IMDB_Rating:Q', bin=True),
+            alt.Y('Rotten_Tomatoes_Rating:Q', bin=True),
+            alt.Color('count()',
+                scale=alt.Scale(scheme='greenblue'),
+                legend=alt.Legend(title='Total Records')
+            )
+        )
+
+        circ = rect.mark_point().encode(
+            alt.ColorValue('grey'),
+            alt.Size('count()',
+                legend=alt.Legend(title='Records in Selection')
+            )
+        ).transform_filter(
+            pts
+        )
+
+        bar = alt.Chart(source).mark_bar().encode(
+            x='Major_Genre:N',
+            y='count()',
+            color=alt.condition(pts, alt.ColorValue("steelblue"), alt.ColorValue("grey"))
+        ).properties(
+            width=550,
+            height=200
+        ).add_selection(pts)
+
+        plot = alt.vconcat(
+            rect + circ,
+            bar
+        ).resolve_legend(
+            color="independent",
+            size="independent"
+        )
+        return plot
+    elif plot_type == "multiline":
+        source = data.stocks()
+
+        highlight = alt.selection(type='single', on='mouseover',
+                                fields=['symbol'], nearest=True)
+
+        base = alt.Chart(source).encode(
+            x='date:T',
+            y='price:Q',
+            color='symbol:N'
+        )
+
+        points = base.mark_circle().encode(
+            opacity=alt.value(0)
+        ).add_selection(
+            highlight
+        ).properties(
+            width=600
+        )
+
+        lines = base.mark_line().encode(
+            size=alt.condition(~highlight, alt.value(1), alt.value(3))
+        )
+
+        return points + lines
+
+
+with gr.Blocks() as demo:
+    button = gr.Radio(label="Plot type",
+                      choices=['interactive_barplot', "multiline"], value='interactive_barplot')
+    plot = gr.Plot(label="Plot")
+    button.change(make_plot, inputs=button, outputs=[plot])
+    demo.load(make_plot, inputs=[button], outputs=[plot])
+
+
+if __name__ == "__main__":
+    demo.launch()

example_gradio_app_doc_copy.py

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+import altair as alt
+import gradio as gr
+import numpy as np
+import pandas as pd
+from vega_datasets import data
+import plotly.graph_objects as go
+
+def plot_random_points_3d(num_points):
+    # Generate random points in 3D space
+    np.random.seed(42)  # Setting a seed for reproducibility
+    x = np.random.randn(num_points)
+    y = np.random.randn(num_points)
+    z = np.random.randn(num_points)
+    
+    # Create a scatter plot
+    fig = go.Figure(data=go.Scatter3d(
+        x=x,
+        y=y,
+        z=z,
+        mode='markers',
+        marker=dict(
+            size=5,
+            color='blue',
+            opacity=0.8
+        )
+    ))
+    
+    # Set axes labels and title
+    fig.update_layout(
+        scene=dict(
+            xaxis=dict(title='X'),
+            yaxis=dict(title='Y'),
+            zaxis=dict(title='Z')
+        ),
+        title='3D Random Points'
+    )
+    
+    # Return the figure
+    return fig
+
+def make_plot(plot_type):
+    if plot_type == "multiline":
+        source = data.stocks()
+
+        highlight = alt.selection(type='single', on='mouseover',
+                                fields=['symbol'], nearest=True)
+
+        base = alt.Chart(source).encode(
+            x='date:T',
+            y='price:Q',
+            color='symbol:N'
+        )
+
+        points = base.mark_circle().encode(
+            opacity=alt.value(0)
+        ).add_selection(
+            highlight
+        ).properties(
+            width=600
+        )
+
+        lines = base.mark_line().encode(
+            size=alt.condition(~highlight, alt.value(1), alt.value(3))
+        )
+
+        return points + lines
+    elif plot_type == "3Dplot":
+        return plot_random_points_3d(100)
+
+
+with gr.Blocks() as demo:
+    button = gr.Radio(label="Plot type",
+                      choices=["multiline", "3Dplot"], value='3Dplot')
+    plot = gr.Plot(label="Plot")
+    button.change(make_plot, inputs=button, outputs=[plot])
+    demo.load(make_plot, inputs=[button], outputs=[plot])
+
+
+if __name__ == "__main__":
+    demo.launch()

reference_data/config10.csv

@@ -0,0 +1,56 @@
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