I'm trying to follow the Label Objects for Deep Learning Workflow but every time I try to Export Training Data, my Pro (2.8.0) crashes.
I am signed in to my esri account and here are my export parameters:
Export Training Data
Output Folder: DeepLearning\Trained_Data
Mask Polygon Features: DeepLearning\DeepLearning.gdb\TS_Attempt1 (.shp)
Image Format: TIFF Format
Tile Size X & Y: 256
Stride X & Y: 128
Rotation Angle: 15
Reference System: Map Space
Output No Feature Tiles: False
Meta Data Format: PASCAL Visual Object Classes
Also I am finding very little information online about how to follow any Deep Learning classification workflows with single band, monochromatic, raster datasets (I am working with historical air photos).
I think the Training Samples Manager workflow will also be limited as I read somewhere that the Classification Tools menu is unavailable if the highlighted image is not a multiband image.
Can anyone point me to a workflow or resource that talks about Deep Learning Models with single band images?
It would be great if you could share your system hardware specification.
If your system GPU is less than 4 or 6 GB then try to make the tile size is 128.
Thanks & Regards
Since you mentioned you were working with single band, monochromatic, raster datasets that are historic in nature, I found two links that may be of interest. The first link discusses the Deep Learning Model and compatible data formats. The second link talks about a deep learning model which can assist you with colorizing historic black and white imagery which may enable you to execute the primary solution.