Added visualization app

Author: anubis05

imagery_insights/samples/imagery_insights_visualization_app/Dockerfile

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+# Use an official Python runtime as a parent image
+FROM python:3.9-slim
+
+# Set the working directory in the container
+WORKDIR /app
+
+# Copy the current directory contents into the container at /app
+COPY . /app
+
+# Install any needed packages specified in requirements.txt
+RUN pip install --no-cache-dir -r requirements.txt
+
+# Make port 8080 available to the world outside this container
+EXPOSE 8080
+
+# Define environment variable
+ENV PORT 8080
+
+# Run app.py when the container launches
+CMD ["python", "app.py"]

imagery_insights/samples/imagery_insights_visualization_app/README.md

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+# Street View Visualization App
+
+This application provides an interactive visualization of geographic data from the `ga_sample.json` file. It allows users to explore the data in a split-screen view, with a map on one side and a Google Street View panorama on the other.
+
+## Overview
+
+The application is a Flask web server that serves a single-page web application. The frontend is built with HTML, CSS, and JavaScript, and it uses the Google Maps API to display the map and Street View imagery.
+
+The application has the following features:
+*   **Split-screen view**: A map on the left and a Street View panorama on the right.
+*   **Data navigation**: "Previous" and "Next" buttons to navigate through the data points.
+*   **Camera pose controls**: A "Use Camera Pose" toggle to switch between the observation's location and the camera's location. When enabled, individual toggles for "Heading", "Pitch", and "Roll" allow for fine-grained control over the camera's orientation.
+*   **Photographer POV**: A "Load Photographer POV" toggle to load the location and marker using the `StreetViewPanorama.getPhotographerPov()` method.
+*   **3D map viewer**: A separate 3D map viewer to display all the data points as pins on a 3D map.
+
+## Deployment
+
+To build and deploy this application, you can use the following `gcloud` command from your terminal, after navigating into the `streetview_visualization_app` directory:
+
+```bash
+gcloud run deploy imagery-insights-visualization \
+  --source=. \
+  --region=us-central1 \
+  --platform=managed \
+  --allow-unauthenticated \
+  --port=8080 \
+  --project=imagery-insights-sandbox

imagery_insights/samples/imagery_insights_visualization_app/app.py

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+# Copyright 2025 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+from flask import Flask, render_template, jsonify, send_from_directory
+import json
+import os
+
+app = Flask(__name__, static_folder='static', template_folder='templates')
+app.config['TEMPLATES_AUTO_RELOAD'] = True
+
+@app.route('/')
+def index():
+    return render_template('index.html')
+
+@app.route('/3d_view')
+def three_d_view():
+    return render_template('3d_view.html')
+
+@app.route('/data/<filename>')
+def get_data(filename):
+    return send_from_directory('data', filename)
+
+
+if __name__ == '__main__':
+    app.run(debug=True, host='0.0.0.0', port=int(os.environ.get('PORT', 8080)))