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I am trying to download all images for source_11 that I can find in the respective load_data_with_illum.parquet files. I found that for these parquet files,
there are 1216 fields/sites with at least one missing image, for a total of 6068 missing images that I attached as CSV in source_11-404.txt (I had to change the extension from txt to csv to attach in this comment). This is what the CSV looks like:
I will double-check that I inferred the correct file names from the parquet files. The existence of ch1 in this example suggests that I inferred the correct names, at least for that field/site.
To find the number of missing fields/sites, I removed the channel sub-string:
Note, I stated originally that I found 1216 wells with at least one missing image, but this is incorrect. I found 1216 fields/sites with at least one missing image.
hanslovsky
changed the title
Images missing for 1216 wells in source_11
Images missing for 1216 fields/sites in source_11
Aug 14, 2023
I am trying to download all images for source_11 that I can find in the respective
load_data_with_illum.parquet
files. I found that for these parquet files,there are 1216 fields/sites with at least one missing image, for a total of 6068 missing images that I attached as CSV in source_11-404.txt (I had to change the extension from txt to csv to attach in this comment). This is what the CSV looks like:
For example,
aws s3 ls
on the first file returns in above snippet exits with code1
, i.e. the key does not exist:When I use the same key but change the channel from
ch2
toch1
, that file exists:I will double-check that I inferred the correct file names from the
parquet
files. The existence ofch1
in this example suggests that I inferred the correct names, at least for that field/site.To find the number of missing fields/sites, I removed the channel sub-string:
Subtract 1 for the CSV header.
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