Open tcompa opened 1 week ago
Ref #1954
We observed a failure upon zipping a 900 MB with this kind of structure
138M 0_convert_cellvoyager_multiplexing_to_ome_zarr 183M 1_calculate_registration__image_based_ 8.1M 2_find_registration_consensus 124M 3_apply_registration_to_image 7.2M 4_convert_channel_to_label 7.1M 5_filter_label_by_size 7.4M 6_segment_secondary_objects 7.2M 7_filter_label_by_size 7.2M 8_clip_label_image 147M 9_measure_features 124M 11_measure_features 7.2M 12_label_assignment_by_overlap 7.2M 13_label_assignment_by_overlap 8.3M 14_aggregate_feature_tables 147M 10_measure_features 8.3M 15_aggregate_feature_tables 8.3M 16_aggregate_feature_tables
which corresponds to a dataset with 9282 images.
We should reproduce this locally, to see whether it has to do with a specific filesystem - and possibly move to wrapping some unix commands rather than using python built-in zip library.
(another question is why these folders are so large, likely due to the large number of images and then files)
Ref #1954
We observed a failure upon zipping a 900 MB with this kind of structure
which corresponds to a dataset with 9282 images.
We should reproduce this locally, to see whether it has to do with a specific filesystem - and possibly move to wrapping some unix commands rather than using python built-in zip library.