Skip to content

Improve dataset handling with adaptive folder detection #331

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Draft
yyq19990828 wants to merge 1 commit into
base: develop
Choose a base branch
from
Draft

Improve dataset handling with adaptive folder detection #331

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
21 changes: 19 additions & 2 deletions rfdetr/datasets/coco.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -238,12 +238,29 @@ def build_roboflow(image_set, args, resolution):
root = Path(args.dataset_dir)
assert root.exists(), f'provided Roboflow path {root} does not exist'
mode = 'instances'

# Adaptively detect val/valid folder name
val_folder = None
if (root / "valid").exists():
val_folder = "valid"
elif (root / "val").exists():
val_folder = "val"
else:
raise FileNotFoundError(f"Neither 'val' nor 'valid' folder found in {root}")

# Build path mapping, optimizing test dataset handling
PATHS = {
"train": (root / "train", root / "train" / "_annotations.coco.json"),
"val": (root / "valid", root / "valid" / "_annotations.coco.json"),
"test": (root / "test", root / "test" / "_annotations.coco.json"),
"val": (root / val_folder, root / val_folder / "_annotations.coco.json"),
}

# Handle test dataset: if test doesn't exist, use val dataset instead
if (root / "test").exists() and (root / "test" / "_annotations.coco.json").exists():
PATHS["test"] = (root / "test", root / "test" / "_annotations.coco.json")
else:
print(f"Warning: test dataset not found, using {val_folder} dataset for testing")
PATHS["test"] = (root / val_folder, root / val_folder / "_annotations.coco.json")

img_folder, ann_file = PATHS[image_set.split("_")[0]]

try:
Expand Down