Add --return-full-shapes flag to report polygon shapes and deviation statistics

[Copilot]

generate_interesting_points.py was outputting centroid Points with only a mean deviation value per feature. This PR adds a --return-full-shapes flag to optionally return the actual detected shapes with richer deviation statistics.

Changes

• New flag --return-full-shapes: When set, outputs full Polygon geometries with deviation statistics (mean, max, std). Without the flag, the default behavior is preserved (centroid Point features with a single deviation mean value).
• Full-shapes schema (with --return-full-shapes):
  • deviation_mean — mean deviation across feature pixels
  • deviation_max — peak deviation within the feature
  • deviation_std — spread of deviations within the feature

Output schema diff

# Default (no flag) — unchanged from original
schema = {
    "geometry": "Point",
    "properties": {"id": "int", "area": "float", "deviation": "float"},
}

# With --return-full-shapes
schema = {
    "geometry": "Polygon",
    "properties": {
        "id": "int",
        "area": "float",
        "deviation_mean": "float",
        "deviation_max": "float",
        "deviation_std": "float",
    },
}

Original prompt

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This section details on the original issue you should resolve

<issue_title>Change the way that we report results</issue_title>
<issue_description>Return interesting shapes and statistics of deviations instead of centroids and mean in the interesting points script</issue_description>

Comments on the Issue (you are @copilot in this section)

• Fixes Change the way that we report results #5

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[calebrob6]

@copilot make this mode a flag --return-full-shapes

[Copilot]

@copilot make this mode a flag --return-full-shapes

Done in 94e3d98. Added --return-full-shapes as an action="store_true" flag. Without the flag, the default behavior is preserved (centroid Points + single deviation mean). With the flag, it outputs full Polygon geometries with deviation_mean, deviation_max, and deviation_std properties.