48 lines
1.3 KiB
Python
48 lines
1.3 KiB
Python
import os
|
|
import pandas as pd
|
|
|
|
# === RENAMING SCRIPT ===
|
|
# Change these paths to where you have the images
|
|
input_folder = r"C:\Users\sof12\Desktop\ML\dataset_gbif_artichoke" # Input folder
|
|
output_folder = r"C:\Users\sof12\Desktop\ML\dataset\Carciofo" # Output folder
|
|
os.makedirs(output_folder, exist_ok=True)
|
|
|
|
start_index = 1 # Initial counter
|
|
|
|
old_names = []
|
|
new_names = []
|
|
|
|
# Get list of files and sort them
|
|
files = sorted(os.listdir(input_folder))
|
|
counter = start_index
|
|
|
|
for filename in files:
|
|
full_path = os.path.join(input_folder, filename)
|
|
if not os.path.isfile(full_path):
|
|
continue
|
|
|
|
# Extract file extension
|
|
_, ext = os.path.splitext(filename)
|
|
|
|
# Create new name
|
|
new_name = f"Carciofo_GBIF_{counter:03d}{ext}"
|
|
|
|
# Rename by moving file
|
|
new_path = os.path.join(output_folder, new_name)
|
|
os.rename(full_path, new_path)
|
|
|
|
# Save the data for CSV
|
|
old_names.append(filename)
|
|
new_names.append(new_name)
|
|
|
|
counter += 1
|
|
|
|
# Create CSV
|
|
df = pd.DataFrame({"Old_Name": old_names, "New_Name": new_names})
|
|
csv_path = os.path.join(output_folder, "change_namesAV.csv")
|
|
df.to_csv(csv_path, index=False, encoding="utf-8-sig")
|
|
|
|
print(f"Renamed {len(new_names)} images.")
|
|
print(f"CSV file generated at: {csv_path}")
|
|
if new_names:
|
|
print(f"Example first change: {old_names[0]} --> {new_names[0]}") |