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Fix KeyError: 'low_quality' in AlanDataset #3

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Fix KeyError: 'low_quality' in AlanDataset #3

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18 changes: 16 additions & 2 deletions near/datasets/refine_dataset.py
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Original file line number Diff line number Diff line change
Expand Up @@ -8,15 +8,29 @@

class AlanDataset(Dataset):

def __init__(self, root='../../data/Alan', appearance_path='appearance', shape_path='shape', resolution=128, n_samples=None):
def __init__(self, root='../../data/Alan', appearance_path='appearance', shape_path='shape', resolution=128, n_samples=None, filter_low_quality=True):

self.root = root
self.resolution = resolution
self.appearance_dir = os.path.join(root, appearance_path)
self.shape_dir = os.path.join(root, shape_path)

df = pd.read_csv(os.path.join(self.root, 'info.csv'))
info = df[df['low_quality'].isnull()]

# Handle optional 'low_quality' column
if filter_low_quality and 'low_quality' in df.columns:
info = df[df['low_quality'].isnull()]
else:
if filter_low_quality and 'low_quality' not in df.columns:
print("Warning: 'low_quality' column not found in info.csv. Using all samples.")
info = df

# Check for required columns
required_cols = ['ROI_id', 'ROI_anomaly']
missing_cols = [col for col in required_cols if col not in info.columns]
if missing_cols:
raise KeyError(f"Required columns {missing_cols} not found in info.csv. Available columns: {list(df.columns)}")

self.info = info[['ROI_id', 'ROI_anomaly']]
self.info.reset_index(drop=True, inplace=True)

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