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Created with Raphaël 2.2.021Dec201913Nov10763231Oct30272625222019181716141312111098529Sep2827262513127654131Aug302928242322Fixed bug where error was raised generating 3D patches where expanded 3D stack encountered min/max of rangeProducts export successfully from workflowIroning out issues with parameterized patch product exportTest covering unified zmask workflow passesTest covers instance segmentation base classImplemented but did not yet test adding object classification result to RoiSet dataframeAdapted base segmentation worklow and API endpoint for generic semantic segmentation model; made dummy model this type tooTest and example notebook that covers object classification from binary segmentationRetained object classification from pixel probabilitieUpdated ilastik tests to cover semantic and instance segmentation methodsAdded superclass for instance segmentation models and modified ilastik object classification to inherit from itAdded superclass for semantic segmentation models and modified ilastik pixel classification to inherit from itAdded superclass for semantic segmentation models and modified ilastik pixel classification to inherit from itRenamed ZMask to RoiSet, prototyped object classification methods that add classification result as a dataframe columnTrying to test with batch operation but currently these do not involve object classificationDelegated export of patch products to ZMaskObjectTable class; consolidated both batch runner and API-facing workflows into infer_object_map_from_zstack(); consolidated parameterization of export products into pydantic modelBatch script to generate coloring book-like line profiles from pixel classifierMerged in mask export methodAutomatically export boolean masks as 0-255 black/whiteAutomatically export boolean masks as 0-255 black/whiteAutomatically export boolean masks as 0-255 black/whiteWait for confirmation that server is online before opening browserWait for confirmation that server is online before opening browseronly return keepers in zmask dataframeBatch method for multi-chunk Ecotaxa TSVImplemented batch export chunkingA few workarounds with zero-length patch setsRan two more porto sets through pipelineAdded pixel scale to CSV and Ecotaxa exportCorrected argument-forwarding error; set up job for porto data; split off ecotaxa TSV generation into its own moduleMerge branch 'master' of git.embl.de:rhodes/model_serverUpdated to new test classifiersUpdated to new test classifiersAdded docstringsMoved client code back into repo; items in imagej directory won't run in server environmentClient now outside the server repoModel-loading always returns {'model_id': _} when successfulyModel-loading always returns {'model_id': _} when successfulyValidated non-duplication when loading ilastik model with same project file name, irrespective of path formattingValidated non-duplication when loading ilastik model with same project file name, irrespective of path formatting