[GitHub] leleamol commented on a change in pull request #13294: [MXNET-1083] Add the example to demonstrate the inference workflow using C++ API

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leleamol commented on a change in pull request #13294: [MXNET-1083] Add the example to demonstrate the inference workflow using C++ API
URL: https://github.com/apache/incubator-mxnet/pull/13294#discussion_r239274813
 
 

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 File path: cpp-package/example/inference/README.md
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+# MXNet C++ Package Inference Workflow Examples
+
+## Building C++ Inference examples
+
+The examples in this folder demonstrate the **inference** workflow.
+To build examples use following commands:
+
+-  Release: **make all**
+-  Debug: **make debug all**
+
+
+## Examples demonstrating inference workflow
+
+This directory contains following examples. In order to run the examples, ensure that the path to the MXNet shared library is added to the OS specific environment variable viz. **LD\_LIBRARY\_PATH** for Linux, Mac and Ubuntu OS and **PATH** for Windows OS.
+
+### [inception_inference.cpp](<https://github.com/apache/incubator-mxnet/blob/master/cpp-package/example/inference/inception_inference.cpp>)
+
+This example demonstrates image classification workflow with pre-trained models using MXNet C++ API. The command line parameters the example can accept are as shown below:
+
+	```
+	./inception_inference --help
+	Usage:
+	inception_inference --symbol <model symbol file in json format>  --params <model params file> --image <path to the image used for prediction --synset file containing labels for prediction [--input_shape <dimensions of input image e.g "3 224 224"][--mean file containing mean image for normalizing the input image [--gpu]  Specify this option if workflow needs to be run in gpu context
 
 Review comment:
   Re-organized the comments.
   The mean image file contains the mean values in image format. The file is also used in other feature extract example.
   I have added the code to use the default mean values if user does not specify this file.

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