Datasets:
Tasks:
Image Segmentation
Modalities:
Image
Languages:
English
Tags:
Cloud Detection
Cloud Segmentation
Remote Sensing Images
Satellite Images
HRC-WHU
CloudSEN12-High
License:
File size: 2,287 Bytes
793caea |
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 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 |
import os
import zipfile
from huggingface_hub import HfApi, HfFolder
# Define the root directory containing all datasets
base_root = "data" # Replace with the directory containing all datasets
dataset_repo = "XavierJiezou/Cloud-Adapter" # Hugging Face repository name
dataset_names = [
"hrc_whu",
"gf12ms_whu_gf1",
"gf12ms_whu_gf2",
"cloudsen12_high_l1c",
"cloudsen12_high_l2a",
"l8_biome",
]
# Function to create a ZIP file for a dataset directory
def create_zip(dataset_path, output_path):
"""
Compress a dataset directory into a ZIP file.
Args:
dataset_path (str): Path to the dataset directory.
output_path (str): Path to save the ZIP file.
"""
with zipfile.ZipFile(output_path, 'w', zipfile.ZIP_DEFLATED) as zipf:
for root, _, files in os.walk(dataset_path):
for file in files:
file_path = os.path.join(root, file)
arcname = os.path.relpath(file_path, dataset_path)
zipf.write(file_path, arcname)
print(f"Compressed {dataset_path} into {output_path}")
# Function to upload ZIP files to Hugging Face Hub
def upload_zip_to_hub(dataset_name, zip_path, repo_name):
"""
Upload a ZIP file to a Hugging Face repository.
Args:
dataset_name (str): Name of the dataset (used as a file identifier).
zip_path (str): Path to the ZIP file.
repo_name (str): Hugging Face repository name.
"""
api = HfApi()
token = HfFolder.get_token()
file_name = f"{dataset_name}.zip"
api.upload_file(
path_or_fileobj=zip_path,
path_in_repo=file_name,
repo_id=repo_name,
repo_type="dataset",
token=token,
)
print(f"Uploaded {file_name} to {repo_name}")
# Main script
if __name__ == "__main__":
for dataset_name in dataset_names:
dataset_path = os.path.join(base_root, dataset_name)
if not os.path.exists(dataset_path):
print(f"Dataset directory does not exist: {dataset_path}")
continue
# Create ZIP file
zip_path = f"{dataset_name}.zip"
create_zip(dataset_path, zip_path)
# Upload ZIP file to Hugging Face Hub
upload_zip_to_hub(dataset_name, zip_path, dataset_repo)
|