Error appers when I use "Detect Objects Using Deep Learning" in ArcGIS Pro, the model is YOLOv3 which trained by ArcGIS API for Python.
ERROR 999999: Something unexpected caused the tool to fail. Contact Esri Technical Support (http://esriurl.com/support) to Report a Bug, and refer to the error help for potential solutions or workarounds.
Python raster function is unable to vectorize the data. [Failed to generate table]
Python raster function is unable to vectorize the data.
E:\Program Files\ArcGIS\Pro\bin\Python\envs\deeplearning\Lib\site-packages\numpy\core\fromnumeric.py:87: RuntimeWarning: invalid value encountered in reduce
return ufunc.reduce(obj, axis, dtype, out, **passkwargs)
Traceback (most recent call last):
File "F:\pro_project\tree_detector\models\yolov3_acc89\ArcGISObjectDetector.py", line 215, in vectorize
polygon_list, scores, classes = self.child_object_detector.vectorize(**pixelBlocks)
File "E:\Program Files\ArcGIS\Pro\bin\Python\envs\deeplearning\Lib\site-packages\arcgis\learn\models\_inferencing\_yolov3_inference.py", line 365, in vectorize
for pred in preds[batch_idx]:
KeyError: 0
Python Raster Function's .vectorize() method returned nothing.
Failed to execute (DetectObjectsUsingDeepLearning).
Expected behavior
How to make the YOLOv3 model work.
Platform (please complete the following information):
- OS: Win10
- Browser chrome
- Python API Version 1.8.3
