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Posted to commits@mxnet.apache.org by jx...@apache.org on 2017/11/21 18:22:17 UTC

[incubator-mxnet] branch master updated: [cpp-package]Update readme#8655 (#8746)

This is an automated email from the ASF dual-hosted git repository.

jxie pushed a commit to branch master
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git


The following commit(s) were added to refs/heads/master by this push:
     new bbe078e  [cpp-package]Update readme#8655 (#8746)
bbe078e is described below

commit bbe078e0e95929ff7616af5f0c4b5125f611735f
Author: Xin Li <ya...@gmail.com>
AuthorDate: Wed Nov 22 02:22:09 2017 +0800

    [cpp-package]Update readme#8655 (#8746)
---
 cpp-package/README.md                         | 12 ++++++++----
 cpp-package/example/feature_extract/README.md |  8 ++++++++
 2 files changed, 16 insertions(+), 4 deletions(-)

diff --git a/cpp-package/README.md b/cpp-package/README.md
index dcfcbc8..cc65635 100644
--- a/cpp-package/README.md
+++ b/cpp-package/README.md
@@ -1,8 +1,12 @@
-# MxNet C++ Package
+# MXNet C++ Package
 
+<!--
 [![Build Status](https://travis-ci.org/dmlc/MXNet.cpp.svg?branch=master)](https://travis-ci.org/dmlc/MXNet.cpp)
 [![Build status](https://ci.appveyor.com/api/projects/status/ckfq6j53sg5ll01d/branch/master?svg=true)](https://ci.appveyor.com/project/lx75249/mxnet-cpp/branch/master)
+-->
 
-The examples dir containers examples for you to get started.
-The lib dir should contain the compiled mxnet library.
-Windows dir contains Visual C++ solution files and project files.
+To build the package, please refer to <https://mxnet.incubator.apache.org/get_started/build_from_source.html#build-the-c-package>.
+
+A basic tutorial can be found at <https://mxnet.incubator.apache.org/tutorials/c++/basics.html>.
+
+The example directory contains examples for you to get started. 
diff --git a/cpp-package/example/feature_extract/README.md b/cpp-package/example/feature_extract/README.md
new file mode 100644
index 0000000..4367a0c
--- /dev/null
+++ b/cpp-package/example/feature_extract/README.md
@@ -0,0 +1,8 @@
+This example shows how to extract features with a pretrained model.
+
+You can first get a pretrained model from <https://github.com/dmlc/mxnet-model-gallery/blob/master/imagenet-1k-inception-bn.md>,
+then prepare 2 pictures 1.jpg and 2.jpg to extract by executing `run.sh`.
+
+Note:
+1. The filename of network parameters may vary, line 67 in `feature_extract.cpp` should be updated accordingly.
+2. As the build system has changed a lot, to build this example, you need to put the compiled library `libmxnet.so` in `../lib/linux`.

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