import json
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import subprocess
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import sys
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import tempfile
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import unittest
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from pathlib import Path
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from PIL import Image
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ROOT = Path(__file__).resolve().parents[3]
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SCRIPT = ROOT / "capabilities" / "02-semantic-mapping" / "run_semantic_segmentation.py"
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class SemanticSegmentationTests(unittest.TestCase):
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def test_small_rgb_input_produces_raster_vector_and_metadata(self):
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with tempfile.TemporaryDirectory() as temp:
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work = Path(temp)
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image = Image.new("RGB", (96, 64), (80, 80, 80))
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pixels = image.load()
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for y in range(20):
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for x in range(32):
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pixels[x, y] = (35, 180, 55)
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for y in range(20, 44):
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for x in range(32, 72):
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pixels[x, y] = (30, 100, 210)
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source = work / "sample.png"
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image.save(source)
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output = work / "out"
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result = subprocess.run([sys.executable, str(SCRIPT), "--input", str(source), "--output", str(output)], capture_output=True, text=True)
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self.assertEqual(result.returncode, 0, result.stderr)
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metadata = json.loads((output / "run_metadata.json").read_text(encoding="utf-8"))
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self.assertEqual(metadata["input_count"], 1)
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record = metadata["images"][0]
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for key in ("mask_file", "overlay_file", "raster_file", "vector_file"):
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self.assertTrue((output / record[key]).is_file(), key)
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self.assertGreater(record["class_pixel_counts"]["vegetation"], 0)
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self.assertGreater(record["class_pixel_counts"]["water"], 0)
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if __name__ == "__main__":
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unittest.main()
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