Schneipi

Thanks for the quick suggestion. Doesn't seem to do the trick unfortunately: ``` TypeError: in user code: File ".../venv/lib/python3.8/site-packages/ocrd_anybaseocr/mrcnn/model.py", line 823, in call * detections_batch = utils.batch_slice( File ".../venv/lib/python3.8/site-packages/ocrd_anybaseocr/mrcnn/utils.py", line...

I installed `ocrd_anybaseocr` according to the install instructions in https://github.com/OCR-D/ocrd_anybaseocr#installing. The venv now contains `Tensorflow 2.11.0`.

Thanks for the reply and advice! I am running Qdrant 1.3.0. I created a payload field index for my `document_id` field. However, the `qdrant_client.http.exceptions.ResponseHandlingException: timed out` exception still presists.

It seems to work now. I added a `timeout` value when initalizing `QdrantClient`: `client= QdrantClient(host=ct.QDRANT_HOST, grpc_port=ct.QDRANT_GRPC_PORT, timeout=Timeout(timeout=TIMEOUT_SECS)) ` Queries seem much slower, but the `timed out` exception is gone now.

Collection info: `status= optimizer_status= vectors_count=9552941 indexed_vectors_count=9552941 points_count=9552941 segments_count=38 config=CollectionConfig(params=CollectionParams(vectors=VectorParams(size=1536, distance=, hnsw_config=None, quantization_config=None, on_disk=True), shard_number=1, replication_factor=1, write_consistency_factor=1, on_disk_payload=True), hnsw_config=HnswConfig(m=16, ef_construct=100, full_scan_threshold=10000, max_indexing_threads=0, on_disk=True, payload_m=None), optimizer_config=OptimizersConfig(deleted_threshold=0.2, vacuum_min_vector_number=1000, default_segment_number=0, max_segment_size=None, memmap_threshold=20000, indexing_threshold=20000, flush_interval_sec=5,...