Datasets:
File size: 4,610 Bytes
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from pathlib import Path
import json
import random
import csv
from collections import defaultdict
areas = {'ATA_MV', 'BRA_SP', 'CHN_WS', 'ESP_EH', 'FIN_LM', 'GER_BN', 'IDN_SV',
'KAZ_AC', 'KSA_WA', 'NAM_HF', 'NZL_KP', 'PHL_TA', 'USA_GC'}
data_path = Path("/home/sabrina/Documents/Tese/05_Dataset/MatchGeo-DEM-v1/data/")
output_path = Path("/home/sabrina/Documents/Tese/05_Dataset/MatchGeo-DEM-v1/splits/")
output_path.mkdir(parents=True, exist_ok=True)
# Configuration
SEED = 42
TRAIN_RATIO = 0.8
VAL_RATIO = 0.1
TEST_RATIO = 0.1
assert abs(TRAIN_RATIO + VAL_RATIO + TEST_RATIO - 1.0) < 1e-6, "Ratios must sum to 1.0"
random.seed(SEED)
print("=" * 80)
print("MatchGeo-DEM Stratified Split Generator")
print(f"Train: {TRAIN_RATIO:.0%} | Val: {VAL_RATIO:.0%} | Test: {TEST_RATIO:.0%}")
print(f"Random seed: {SEED}")
print("=" * 80)
all_tiles = []
# Collect all tiles per city
for location in sorted(areas):
tiles_dir = data_path / location / "tiles"
if not tiles_dir.exists():
print(f"⚠️ {location}: No tiles directory found")
continue
city_tiles = []
for tile_file in sorted(tiles_dir.iterdir()):
if tile_file.suffix == '.tif':
tile_id = tile_file.stem
city_tiles.append({
"tile_id": tile_id,
"city": location,
"file": str(tile_file.relative_to(data_path.parent))
})
print(f"📁 {location}: {len(city_tiles)} tiles collected")
all_tiles.extend(city_tiles)
print(f"\n📊 Total tiles: {len(all_tiles)}")
# Group by city
city_groups = defaultdict(list)
for tile in all_tiles:
city_groups[tile["city"]].append(tile)
# Stratified split: ensure each city is represented in each split
train_tiles = []
val_tiles = []
test_tiles = []
for city, tiles in sorted(city_groups.items()):
n = len(tiles)
random.shuffle(tiles)
n_train = max(1, int(n * TRAIN_RATIO))
n_val = max(1, int(n * VAL_RATIO))
# Test gets the remainder
n_test = n - n_train - n_val
# Adjust if test is too small
if n_test < 1 and n > 2:
n_train -= 1
n_test = 1
city_train = tiles[:n_train]
city_val = tiles[n_train:n_train + n_val]
city_test = tiles[n_train + n_val:]
train_tiles.extend(city_train)
val_tiles.extend(city_val)
test_tiles.extend(city_test)
print(f"\n📁 {city}:")
print(f" Total: {n} | Train: {len(city_train)} | Val: {len(city_val)} | Test: {len(city_test)}")
# Shuffle again within each split
random.shuffle(train_tiles)
random.shuffle(val_tiles)
random.shuffle(test_tiles)
print(f"\n{'='*80}")
print(f"📊 FINAL SPLIT SIZES:")
print(f" Train: {len(train_tiles)} tiles ({len(train_tiles)/len(all_tiles):.1%})")
print(f" Val: {len(val_tiles)} tiles ({len(val_tiles)/len(all_tiles):.1%})")
print(f" Test: {len(test_tiles)} tiles ({len(test_tiles)/len(all_tiles):.1%})")
print(f"{'='*80}")
# City distribution per split
print(f"\n📊 CITY DISTRIBUTION PER SPLIT:")
for split_name, split_tiles in [("Train", train_tiles), ("Val", val_tiles), ("Test", test_tiles)]:
city_counts = defaultdict(int)
for tile in split_tiles:
city_counts[tile["city"]] += 1
print(f"\n{split_name}:")
for city in sorted(city_counts.keys()):
print(f" {city}: {city_counts[city]} tiles")
# Write CSV files
def write_split_csv(tiles, filepath):
with open(filepath, 'w', newline='') as f:
writer = csv.DictWriter(f, fieldnames=["tile_id", "city", "file"])
writer.writeheader()
for tile in tiles:
writer.writerow(tile)
write_split_csv(train_tiles, output_path / "train.csv")
write_split_csv(val_tiles, output_path / "validation.csv")
write_split_csv(test_tiles, output_path / "test.csv")
print(f"\n✅ Splits saved to:")
print(f" {output_path / 'train.csv'}")
print(f" {output_path / 'validation.csv'}")
print(f" {output_path / 'test.csv'}")
# Save JSON manifest
split_manifest = {
"seed": SEED,
"ratios": {"train": TRAIN_RATIO, "validation": VAL_RATIO, "test": TEST_RATIO},
"total_tiles": len(all_tiles),
"splits": {
"train": len(train_tiles),
"validation": len(val_tiles),
"test": len(test_tiles)
},
"files": {
"train": str(output_path / "train.csv"),
"validation": str(output_path / "validation.csv"),
"test": str(output_path / "test.csv")
}
}
with open(output_path / "split_manifest.json", 'w') as f:
json.dump(split_manifest, f, indent=2)
print(f"\n✅ Split manifest saved to: {output_path / 'split_manifest.json'}")
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