Add wildlife threat classification with size heuristics

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
This commit is contained in:
Aaron D. Lee 2026-04-03 13:17:21 -04:00
parent 131eed73b1
commit 13b7c2a219
2 changed files with 88 additions and 0 deletions

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"""Tests for wildlife threat classification."""
from vigilar.config import WildlifeConfig, WildlifeThreatMap, WildlifeSizeHeuristics
from vigilar.detection.person import Detection
from vigilar.detection.wildlife import classify_wildlife_threat
def _make_config(**kwargs):
return WildlifeConfig(**kwargs)
class TestWildlifeThreatClassification:
def test_bear_is_predator(self):
cfg = _make_config()
d = Detection(class_name="bear", class_id=21, confidence=0.9, bbox=(100, 100, 200, 300))
level, species = classify_wildlife_threat(d, cfg, frame_area=1920 * 1080)
assert level == "PREDATOR"
assert species == "bear"
def test_bird_is_passive(self):
cfg = _make_config()
d = Detection(class_name="bird", class_id=14, confidence=0.8, bbox=(10, 10, 30, 20))
level, species = classify_wildlife_threat(d, cfg, frame_area=1920 * 1080)
assert level == "PASSIVE"
assert species == "bird"
def test_unknown_small_is_nuisance(self):
cfg = _make_config()
d = Detection(class_name="unknown", class_id=99, confidence=0.7, bbox=(100, 100, 30, 30))
level, species = classify_wildlife_threat(d, cfg, frame_area=1920 * 1080)
assert level == "NUISANCE"
assert species == "unknown"
def test_unknown_medium_is_predator(self):
cfg = _make_config()
d = Detection(class_name="unknown", class_id=99, confidence=0.7, bbox=(100, 100, 300, 300))
level, species = classify_wildlife_threat(d, cfg, frame_area=1920 * 1080)
assert level == "PREDATOR"
def test_unknown_large_is_passive(self):
cfg = _make_config()
d = Detection(class_name="unknown", class_id=99, confidence=0.7, bbox=(100, 100, 600, 500))
level, species = classify_wildlife_threat(d, cfg, frame_area=1920 * 1080)
assert level == "PASSIVE"
def test_custom_threat_map(self):
cfg = _make_config(threat_map=WildlifeThreatMap(predator=["bear", "wolf"]))
d = Detection(class_name="wolf", class_id=99, confidence=0.85, bbox=(100, 100, 200, 200))
level, _ = classify_wildlife_threat(d, cfg, frame_area=1920 * 1080)
assert level == "PREDATOR"

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"""Wildlife threat level classification."""
from vigilar.config import WildlifeConfig
from vigilar.detection.person import Detection
def classify_wildlife_threat(
detection: Detection,
config: WildlifeConfig,
frame_area: int,
) -> tuple[str, str]:
"""Classify a wildlife detection into threat level and species.
Returns (threat_level, species_name).
"""
species = detection.class_name
threat_map = config.threat_map
# Direct COCO class mapping first
if species in threat_map.predator:
return "PREDATOR", species
if species in threat_map.nuisance:
return "NUISANCE", species
if species in threat_map.passive:
return "PASSIVE", species
# Fallback to size heuristics for unknown species
_, _, w, h = detection.bbox
bbox_area = w * h
area_ratio = bbox_area / frame_area if frame_area > 0 else 0
heuristics = config.size_heuristics
if area_ratio < heuristics.small:
return "NUISANCE", species
elif area_ratio < heuristics.medium:
return "PREDATOR", species
else:
return "PASSIVE", species