Label | Explanation | Data Type |
Input Deep Learning Model File | The binary model file generated by a deep learning package such as Google TensorFlow, Microsoft CNTK, or similar application. | File |
Input Esri Extra Info File | The class information JSON file. See the JSON file example above. | File |
Output Classifier Definition File | The .ecd file that can be used in the Classify function and Classify Raster tool. The .ecd output file only works as input to the Esri Python Classify or Detect adaptor function. | File |
Available with Spatial Analyst license.
Available with Image Analyst license.
Summary
Converts a deep learning model to an Esri classifier definition file (.ecd).
Legacy:
This is a deprecated tool. This functionality has been replaced by the Export Training Data For Deep Learning tool that creates classification information for use in the deep learning model.
This tool adds missing class information to the model. Deep learning binary model files generated by Google TensorFlow, Microsoft CNTK, or similar applications are supported.
To utilize the deep learning .ecd file, the deep learning framework must be installed on your computer. The .ecd output file will only work as input to the Esri Python Classify or Detect adaptor function. The class information JSON file allows you to add useful information to the .ecd file not included in the deep learning binary model such as class names, class colors for rendering the classified output, and other standard information. See the JSON file example below for details.
Usage
The following is an example of a Input Esri Extra Info File:
This is an example of an in_extra_info_json file.
{ "ImportDeepLearningModelToEsriExtraInfo":0, "Version":1, "Classifier":"CNTK", "NumberRasterBands":4, "MiniBatchSize":16, "Classes":[ { "Value":100, "Name":"Impervious", "Color":[204, 204, 204] }, { "Value":200, "Name":" Other (Pervious)", "Color":[56, 168, 0] } ] }
Parameters
DeepLearningModelToEcd(in_deep_learning_model, in_classification_info_json, out_classifier_definition)
Name | Explanation | Data Type |
in_deep_learning_model | The binary model file generated by a deep learning package such as Google TensorFlow, Microsoft CNTK, or similar application. | File |
in_classification_info_json | The class information JSON file. See the JSON file example above. | File |
out_classifier_definition | The .ecd file that can be used in the Classify function and Classify Raster tool. The .ecd output file only works as input to the Esri Python Classify or Detect adaptor function. | File |
Code sample
This example creates an .edc file from deep learning.
from arcpy.ia import *
# Check out the ArcGIS Image Analyst extension license
arcpy.CheckOutExtension("ImageAnalyst")
DeepLearningModelToEcd("c:/test/cntk.model", "c:/test/classInfo.json",
"c:/test/deeplearningtoecd.ecd")
This example creates an .edc file from deep learning.
# Import system modules and check out ArcGIS Image Analyst extension license
import arcpy
arcpy.CheckOutExtension("ImageAnalyst")
from arcpy.ia import *
# Set local variables
in_deep_learning_model = "c:/test/cntk.model"
in_classification_info_json = "c:/test/classInfo.json"
out_classifier_definition = "c:/test/deeplearningtoecd.ecd"
# Execute
DeepLearningModelToEcd(in_deep_learning_model, in_classification_info_json,
out_classifier_definition)
Environments
Licensing information
- Basic: Requires Image Analyst or Spatial Analyst
- Standard: Requires Image Analyst or Spatial Analyst
- Advanced: Requires Image Analyst or Spatial Analyst