File size: 986 Bytes
943c8e2 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 | import os
import csv
base_dir = r"C:\Users\an\Desktop\dpl302m\2026-sum-dpl-30-xm\testset_images"
flood_dir = os.path.join(base_dir, "flood")
not_flood_dir = os.path.join(base_dir, "not_flood")
output_csv = os.path.join(base_dir, "final_submission.csv")
data = []
# Process flood directory
if os.path.exists(flood_dir):
for f in os.listdir(flood_dir):
if f.lower().endswith(('.png', '.jpg', '.jpeg')):
file_id = os.path.splitext(f)[0]
data.append((file_id, 1))
# Process not_flood directory
if os.path.exists(not_flood_dir):
for f in os.listdir(not_flood_dir):
if f.lower().endswith(('.png', '.jpg', '.jpeg')):
file_id = os.path.splitext(f)[0]
data.append((file_id, 0))
# Write to CSV
with open(output_csv, 'w', newline='') as f:
writer = csv.writer(f)
writer.writerow(['id', 'label'])
for row in data:
writer.writerow(row)
print(f"Successfully saved {len(data)} entries to {output_csv}")
|