Add WiFi DensePose implementation and results

- Implemented the WiFi DensePose model in PyTorch, including CSI phase processing, modality translation, and DensePose prediction heads.
- Added a comprehensive training utility for the model, including loss functions and training steps.
- Created a CSV file to document hardware specifications, architecture details, training parameters, performance metrics, and advantages of the model.

references/chart_script.py

@@ -0,0 +1,63 @@
+import plotly.graph_objects as go
+
+# Data from the provided JSON
+data = {
+    "wifi_same": {"AP": 43.5, "AP@50": 87.2, "AP@75": 44.6, "AP-m": 38.1, "AP-l": 46.4},
+    "image_same": {"AP": 84.7, "AP@50": 94.4, "AP@75": 77.1, "AP-m": 70.3, "AP-l": 83.8},
+    "wifi_diff": {"AP": 27.3, "AP@50": 51.8, "AP@75": 24.2, "AP-m": 22.1, "AP-l": 28.6}
+}
+
+# Extract metrics and values
+metrics = list(data["wifi_same"].keys())
+wifi_same_values = list(data["wifi_same"].values())
+image_same_values = list(data["image_same"].values())
+wifi_diff_values = list(data["wifi_diff"].values())
+
+# Define colors from the brand palette - using darker color for WiFi Diff
+colors = ['#1FB8CD', '#FFC185', '#5D878F']
+
+# Create the grouped bar chart
+fig = go.Figure()
+
+# Add bars for each method with hover data
+fig.add_trace(go.Bar(
+    name='WiFi Same',
+    x=metrics,
+    y=wifi_same_values,
+    marker_color=colors[0],
+    hovertemplate='<b>WiFi Same</b><br>Metric: %{x}<br>Score: %{y}<extra></extra>'
+))
+
+fig.add_trace(go.Bar(
+    name='Image Same',
+    x=metrics,
+    y=image_same_values,
+    marker_color=colors[1],
+    hovertemplate='<b>Image Same</b><br>Metric: %{x}<br>Score: %{y}<extra></extra>'
+))
+
+fig.add_trace(go.Bar(
+    name='WiFi Diff',
+    x=metrics,
+    y=wifi_diff_values,
+    marker_color=colors[2],
+    hovertemplate='<b>WiFi Diff</b><br>Metric: %{x}<br>Score: %{y}<extra></extra>'
+))
+
+# Update layout
+fig.update_layout(
+    title='DensePose Performance Comparison',
+    xaxis_title='AP Metrics',
+    yaxis_title='Score',
+    barmode='group',
+    legend=dict(orientation='h', yanchor='bottom', y=1.05, xanchor='center', x=0.5),
+    plot_bgcolor='rgba(0,0,0,0)',
+    paper_bgcolor='white'
+)
+
+# Add grid for better readability
+fig.update_yaxes(showgrid=True, gridcolor='lightgray')
+fig.update_xaxes(showgrid=False)
+
+# Save the chart
+fig.write_image('densepose_performance_chart.png')