Delete sample_swim.py

sample_swim.py

@@ -1,83 +0,0 @@
-import argparse
-from io import BytesIO
-from pathlib import Path
-from huggingface_hub import list_repo_tree, hf_hub_url
-from huggingface_hub.hf_api import RepoFile
-import fsspec
-from PIL import Image
-from tqdm import tqdm
-
-def sample_dataset(
-    repo_id: str,
-    image_subdir: str,
-    label_subdir: str,
-    output_dir: str,
-    max_files: int = 500,
-):
-    
-    image_files = list_repo_tree(
-        repo_id=repo_id,
-        path_in_repo=image_subdir,
-        repo_type="dataset",
-        recursive=True
-    )
-
-    count = 0
-    for img_file in tqdm(image_files, desc="Downloading samples"):
-        if not isinstance(img_file, RepoFile) or not img_file.path.lower().endswith((".png")):
-            continue
-
-        # Relative path after the image_subdir (e.g., img_0001.png)
-        rel_path = Path(img_file.path).relative_to(image_subdir)
-        label_path = f"{label_subdir}/{rel_path.with_suffix('.txt')}"  # Change extension to .txt
-
-        image_url = hf_hub_url(repo_id=repo_id, filename=img_file.path, repo_type="dataset")
-        label_url = hf_hub_url(repo_id=repo_id, filename=label_path, repo_type="dataset")
-
-        local_image_path = Path(output_dir) / img_file.path
-        local_label_path = Path(output_dir) / label_path
-
-        local_image_path.parent.mkdir(parents=True, exist_ok=True)
-        local_label_path.parent.mkdir(parents=True, exist_ok=True)
-
-        try:
-            # Download and save the image
-            with fsspec.open(image_url) as f:
-                image = Image.open(BytesIO(f.read()))
-                image.save(local_image_path)
-
-            # Download and save the corresponding .txt label
-            with fsspec.open(label_url) as f:
-                txt_content = f.read()
-                with open(local_label_path, "wb") as out_f:
-                    out_f.write(txt_content)
-
-#            print(f"[{count+1}]  {rel_path} and {rel_path.with_suffix('.txt')}")
-            count += 1
-        except Exception as e:
-            print(f" Failed {rel_path}: {e}")
-
-        if count >= max_files:
-            break
-
-    print(f" Downloaded {count} image/txt pairs.")
-    print(f" Saved under: {Path(output_dir).resolve()}")
-
-def parse_args():
-    parser = argparse.ArgumentParser(description="Stream and sample paired images + txt labels from a Hugging Face folder-structured dataset.")
-    parser.add_argument("--repo-id", required=False, default = "JeffreyJsam/SWiM-SpacecraftWithMasks",help="Hugging Face dataset repo ID.")
-    parser.add_argument("--image-subdir", required=False, default = "Baseline/images/val/000", help="Subdirectory path for images.")
-    parser.add_argument("--label-subdir", required=False, default="Baseline/labels/val/000", help="Subdirectory path for txt masks.")
-    parser.add_argument("--output-dir", default="./Sampled-SWiM", help="Where to save sampled data.")
-    parser.add_argument("--count", type=int, default=500, help="How many samples to download.")
-    return parser.parse_args()
-
-if __name__ == "__main__":
-    args = parse_args()
-    sample_dataset(
-        repo_id=args.repo_id,
-        image_subdir=args.image_subdir,
-        label_subdir=args.label_subdir,
-        output_dir=args.output_dir,
-        max_files=args.count,
-    )