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Fix: Retrieval OOM for large datasets #338

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Fix: Retrieval OOM for large datasets #338

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32 changes: 22 additions & 10 deletions hloc/pairs_from_retrieval.py
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Original file line number Diff line number Diff line change
Expand Up @@ -67,9 +67,10 @@ def pairs_from_score_matrix(scores: torch.Tensor,
return pairs


def main(descriptors, output, num_matched,
def main(descriptors: Path, output: Path, num_matched: int,
query_prefix=None, query_list=None,
db_prefix=None, db_list=None, db_model=None, db_descriptors=None):
db_prefix=None, db_list=None, db_model=None, db_descriptors=None,
chunk_size: int = -1):
logger.info('Extracting image pairs from a retrieval database.')

# We handle multiple reference feature files.
Expand All @@ -94,17 +95,27 @@ def main(descriptors, output, num_matched,

device = 'cuda' if torch.cuda.is_available() else 'cpu'
db_desc = get_descriptors(db_names, db_descriptors, name2db)
db_desc = db_desc.to(device)
query_desc = get_descriptors(query_names, descriptors)
sim = torch.einsum('id,jd->ij', query_desc.to(device), db_desc.to(device))

# Avoid self-matching
self = np.array(query_names)[:, None] == np.array(db_names)[None]
pairs = pairs_from_score_matrix(sim, self, num_matched, min_score=0)
pairs = [(query_names[i], db_names[j]) for i, j in pairs]
num_pairs = 0
chunk_size = chunk_size if chunk_size > 0 else len(query_names)
with output.open('w') as f:
query_name_splits = [query_names[i:i + chunk_size] for i in range(0, len(query_names), chunk_size)]
query_splits = torch.split(query_desc, chunk_size)
for i, (names, query_desc_split) in enumerate(zip(query_name_splits, query_splits)):
if i != 0:
f.write('\n')
sim = torch.einsum('id,jd->ij', query_desc_split.to(device), db_desc)

logger.info(f'Found {len(pairs)} pairs.')
with open(output, 'w') as f:
f.write('\n'.join(' '.join([i, j]) for i, j in pairs))
# Avoid self-matching
self = np.array(names)[:, None] == np.array(db_names)[None]
pairs = pairs_from_score_matrix(sim, self, num_matched, min_score=0)
pairs = [(names[i], db_names[j]) for i, j in pairs]
num_pairs += len(pairs)
f.write('\n'.join(' '.join([i, j]) for i, j in pairs))

logger.info(f'Found {num_pairs} pairs.')


if __name__ == "__main__":
Expand All @@ -118,5 +129,6 @@ def main(descriptors, output, num_matched,
parser.add_argument('--db_list', type=Path)
parser.add_argument('--db_model', type=Path)
parser.add_argument('--db_descriptors', type=Path)
parser.add_argument('--chunk_size', type=int, default=-1)
args = parser.parse_args()
main(**args.__dict__)