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Changes between Version 57 and Version 58 of ippToPsps_Detections


Ignore:
Timestamp:
Aug 3, 2011, 9:01:45 AM (15 years ago)
Author:
rhenders
Comment:

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  • ippToPsps_Detections

    v57 v58  
    201201|| calibModNum||unknown||SMALLINT||0||calibration modification number|| NA || hardcoded to 1||
    202202|| dataRelease||unknown||TINYINT||0||Data release when this color calibration was established|| NA || hardcoded to 0 ||
    203 = Running =
    204 
    205 To create and publish detection batches, do the following from the IPP trunk:
    206 
    207 
    208 {{{
    209 cd ippToPsps/perl
    210 ./makeDetections.pl
    211 }}}
    212  
    213 This will list all options. Essentials are the following:
    214 
    215 {{{
    216 * REQUIRED: need to provide an output path  -o <path>
    217 * REQUIRED: need to provide a DVO Db        -d <dvoDb>
    218 * REQUIRED: need to provide a DVO location  -l <dvoLocation>
    219 }}}
    220 
    221 Running with just these arguments will create batches for all unprocessed exposures available in the provided DVO database. It will store the batches in the provided output directory. To publish the batches to the datastore, the {{{-p}}} argument (datastore product) must be provided.
    222 
    223 The script connects with the ippToPsps database, so is aware of what has and has not already been processed and published. Only using the {{{-f}}} option can you force it to re-process a batch. '''Note''' that publishing the same exposure under two different batch names will cause havoc for the ODM, so be careful with the {{{-f}}} option.
    224 
    225 Example usage would be:
    226 
    227 {{{
    228 ./makeDetections.pl -o . -d ThreePi.V1 -l /data/ipp004.0/gpc1/catdirs/ThreePi.V1 -p PSPS_test
    229 }}}
    230 
    231 This will work through all available exposures in the DVO database '!ThreePi.V1' at the location specified, and publishing to the 'PSPS_test' datastore product, updating the ippToPsps database as it proceeds. Querying this database allows you to see what has been processed, the failure rate, what has been published to the datastore etc.