I've been trying Train Deep Learning Model (in order to building footprint extraction from WorldView 2 image) using exported training data with KITTI Labels meta data format but every time add the output Image Chips folder faced this error.
ERROR 032659 updateParameters Execution Error: Traceback (most recent call last): File "c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Image Analyst Tools.tbx#TrainDeepLearningModel_ia.UpdateParameters.py", line 4, in <module> File "c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Image Analyst Tools.tbx#TrainDeepLearningModel_ia.UpdateParameters.py", line 62, in updateParameters IndexError: list index out of range
Any opinion?
Hey Bahram -
Regards,
Vinay
How are you Vinay.
I actually had tried the rest of the models including MaskRCNN - Object detection and unfortunately the best result I've achieved (applying MaskRCNN - Object detection) that is not nothing satisfying!
I was wondering if using KITTI Labels would be better result!?
From what I can see on the second screenshot you provided, your training data are the outlines of the buildings. For MaskRCNN to work better, I would change your training data to polygons (a polygon = a building).