error.py

Messages
Start Time: 05 March 2019 01:17:35
Distributing operation across 4 parallel instances.
 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.
 Traceback (most recent call last):
 File "c:\program files\arcgis\pro\Resources\Raster\Functions\System\DeepLearning\ObjectDetector.py", line 101, in vectorize
 polygon_list, scores, classes = self.child_object_detector.vectorize(**pixelBlocks)
 File "c:\program files\arcgis\pro\Resources\Raster\Functions\System\DeepLearning\Keras\MaskRCNN.py", line 96, in vectorize
 results = self.model.detect([image], verbose=1)
 File "C:\Users\Oddbjorn\Documents\ArcGIS\Projects\DeepLearning\mrcnn\model.py", line 2524, in detect
 self.keras_model.predict([molded_images, image_metas, anchors], verbose=0)
 File "C:\Users\Oddbjorn\AppData\Local\ESRI\conda\envs\arcgispro-py3-clone2\Lib\site-packages\keras\engine\training.py", line 1164, in predict
 self._make_predict_function()
 File "C:\Users\Oddbjorn\AppData\Local\ESRI\conda\envs\arcgispro-py3-clone2\Lib\site-packages\keras\engine\training.py", line 554, in _make_predict_function
 **kwargs)
 File "C:\Users\Oddbjorn\AppData\Local\ESRI\conda\envs\arcgispro-py3-clone2\Lib\site-packages\keras\backend\tensorflow_backend.py", line 2744, in function
 return Function(inputs, outputs, updates=updates, **kwargs)
 File "C:\Users\Oddbjorn\AppData\Local\ESRI\conda\envs\arcgispro-py3-clone2\Lib\site-packages\keras\backend\tensorflow_backend.py", line 2546, in __init__
 with tf.control_dependencies(self.outputs):
 File "C:\Users\Oddbjorn\AppData\Local\ESRI\conda\envs\arcgispro-py3-clone2\Lib\site-packages\tensorflow\python\framework\ops.py", line 5004, in control_dependencies
 return get_default_graph().control_dependencies(control_inputs)
 File "C:\Users\Oddbjorn\AppData\Local\ESRI\conda\envs\arcgispro-py3-clone2\Lib\site-packages\tensorflow\python\framework\ops.py", line 4543, in control_dependencies
 c = self.as_graph_element(c)
 File "C:\Users\Oddbjorn\AppData\Local\ESRI\conda\envs\arcgispro-py3-clone2\Lib\site-packages\tensorflow\python\framework\ops.py", line 3490, in as_graph_element
 return self._as_graph_element_locked(obj, allow_tensor, allow_operation)
 File "C:\Users\Oddbjorn\AppData\Local\ESRI\conda\envs\arcgispro-py3-clone2\Lib\site-packages\tensorflow\python\framework\ops.py", line 3569, in _as_graph_element_locked
 raise ValueError("Tensor %s is not an element of this graph." % obj)
 ValueError: Tensor Tensor("mrcnn_detection/Reshape_1:0", shape=(1, 100, 6), dtype=float32) is not an element of this graph.
 Python Raster Function's .vectorize() method returned nothing.
 Python raster function is unable to vectorize the data.
 Traceback (most recent call last):
 File "c:\program files\arcgis\pro\Resources\Raster\Functions\System\DeepLearning\ObjectDetector.py", line 101, in vectorize
 polygon_list, scores, classes = self.child_object_detector.vectorize(**pixelBlocks)
 File "c:\program files\arcgis\pro\Resources\Raster\Functions\System\DeepLearning\Keras\MaskRCNN.py", line 96, in vectorize
 results = self.model.detect([image], verbose=1)
 File "C:\Users\Oddbjorn\Documents\ArcGIS\Projects\DeepLearning\mrcnn\model.py", line 2524, in detect
 self.keras_model.predict([molded_images, image_metas, anchors], verbose=0)
 File "C:\Users\Oddbjorn\AppData\Local\ESRI\conda\envs\arcgispro-py3-clone2\Lib\site-packages\keras\engine\training.py", line 1164, in predict
 self._make_predict_function()
 File "C:\Users\Oddbjorn\AppData\Local\ESRI\conda\envs\arcgispro-py3-clone2\Lib\site-packages\keras\engine\training.py", line 554, in _make_predict_function
 **kwargs)
 File "C:\Users\Oddbjorn\AppData\Local\ESRI\conda\envs\arcgispro-py3-clone2\Lib\site-packages\keras\backend\tensorflow_backend.py", line 2744, in function
 return Function(inputs, outputs, updates=updates, **kwargs)
 File "C:\Users\Oddbjorn\AppData\Local\ESRI\conda\envs\arcgispro-py3-clone2\Lib\site-packages\keras\backend\tensorflow_backend.py", line 2546, in __init__
 with tf.control_dependencies(self.outputs):
 File "C:\Users\Oddbjorn\AppData\Local\ESRI\conda\envs\arcgispro-py3-clone2\Lib\site-packages\tensorflow\python\framework\ops.py", line 5004, in control_dependencies
 return get_default_graph().control_dependencies(control_inputs)
 File "C:\Users\Oddbjorn\AppData\Local\ESRI\conda\envs\arcgispro-py3-clone2\Lib\site-packages\tensorflow\python\framework\ops.py", line 4543, in control_dependencies
 c = self.as_graph_element(c)
 File "C:\Users\Oddbjorn\AppData\Local\ESRI\conda\envs\arcgispro-py3-clone2\Lib\site-packages\tensorflow\python\framework\ops.py", line 3490, in as_graph_element
 return self._as_graph_element_locked(obj, allow_tensor, allow_operation)
 File "C:\Users\Oddbjorn\AppData\Local\ESRI\conda\envs\arcgispro-py3-clone2\Lib\site-packages\tensorflow\python\framework\ops.py", line 3569, in _as_graph_element_locked
 raise ValueError("Tensor %s is not an element of this graph." % obj)
 ValueError: Tensor Tensor("mrcnn_detection/Reshape_1:0", shape=(1, 100, 6), dtype=float32) is not an element of this graph.
 Python Raster Function's .vectorize() method returned nothing.
 Failed to execute (DetectObjectsUsingDeepLearning).
Failed at 05 March 2019 01:18:35 (Elapsed Time: 59.10 seconds)