Latest Contributions by TyHayward

@Anonymous User @TI  I am also getting this error. I want to add extra training chips to my folder from another set of imagery. The imagery is the same source (sen2) but the ExportTrainingDataForDeepLearning tool is failing when I try to export additional chips. ERROR 002860: Tool parameters are inconsistent with the data you are trying to append to. CreateRasterDatasetName: The workspace does not exist. [south_pigs_22] Failed to execute (ExportTrainingDataForDeepLearning). Failed at 08 October 2021 13:47:14 (Elapsed Time: 1.81 seconds)   The second error message does not make sense which says the workspace doesn't exist. All of my other parameters are the same and should work fine. My field containing the class has the same number of classes (3) as the other area + set of imagery. I think this is a bug can anyone help?    Please contact me on: Ty.Hayward@environment-agency.gov.uk   All the best, Ty ... View more

Hi,  I assume you have exported the training data for deep learning using the arcpro tool. different models have different chip size requirements (from what i have gathered), so keep that in mind.  The easiest way to create a deep learning model is to use the arcgis.learn module from the ArcGIS for python API  arcgis.learn module — arcgis 1.6.2 documentation  I believe this is the project that the orignal poster was referencing  arcgis-python-api/object-detection.ipynb at master · Esri/arcgis-python-api · GitHub  the argis learn module implements the singleshotdetector SSD (i believe it has been modified from the fastai library and made more user friendly) How single-shot detector (SSD) works? | ArcGIS for Developers  working with this has a few prerequisites (Setting up a new conda environment and downloading a few python packages). ideally be on arcpro 2.4. a semi-decent GPU is also required (which has to be Nvidia) otherwise training the model will be painfully slow.  Geospatial deep learning with | ArcGIS for Developers  If you follow this notebook from the 'Data preparation' step to the 'save and load trained models' step then you can then inference the model within ArcPRO using the detect objects for deep learning. Importantly, the parameters of the model need to be fine tuned to your data otherwise the results wont be great.  I have spent the past few weeks learning about deep learning, and implementation of it within the esri platform. It takes a bit of reading and searching about to get a grasp of the concepts, which in turn help you improve your own model.The developers of arcgis.learn have suggested that i take the Practical Deep Learning for Coders, v3 | fast.ai course v3, from which much of a arcgis.learn module is built around. This course, from what i have read, will get you up to speed and able to implement deep learning outside of the arcgis enivronment. I am planning on completing it.  I am still a beginner at deep learning, but i will try to help out where i can. let me know if you have any more questions.  ... View more

I have had success with it and also implemented my own dataset ... View more

Hi Richard, Richard Fairhurst I am currently exploring deep learning within arcpro also. I have managed to get a few models to work but i am, like you, looking to fine tune them to make them actually useful at detecting objects. I am doing this as part of R&D within my company so its purely experimental at this point.  If you would like to chat/ share whats worked ect. you can reach me on ty-hayward@environment-agency.gov.uk. ... View more