AgitatedDove14
Linux: resetting task in UI and removing object_detection from list of libraries to be installed for stage 2 (generating tfrecord) and for stage 3 (training nn) helped to pass the stage2 and start the stage3, where training crashed - seems system cannot import some files from 'object_detection' folder.
Windows: I cannot store generated files as configuration on the Task - there are several files to be generated and some may be pretty large, up to few gigs. Looks like the issues on Windows raise from wrong logic of working with git - but I do not understand this logic clear enough. Say, I have scriptA, which runs TaskA. This TaskA generates some data (each time different) which should be used by subsequient TaskB, run by scriptB. Should this data be somehow automatically committed and pushed to remote repository? In other words, should the pipeline be:
TaskA (generates data)2. TaskB (uses data generated by TaskA)

or should the pipeline be:
TaskA (generates data)2. commit and push data to remote repository
3. TaskB (uses data generated by TaskA by downloading it from remote repository)
?