[Doc] add link to examples wiki page

[how-to-run-examples.md]
link to examples wiki page (nnsuite/nnstreamer)

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Signed-off-by: Jaeyun Jung <jy1210.jung@samsung.com>

diff --git a/Documentation/how-to-run-examples.md b/Documentation/how-to-run-examples.md
index 784361e..fed444e 100644 (file)
--- a/Documentation/how-to-run-examples.md
+++ b/Documentation/how-to-run-examples.md
@@ -1,116 +1,3 @@
 # How to run examples
 
-## Build examples (Ubuntu)
-
-Use Cmake.
-
-See [Getting started](getting-started.md) : **Approach 2.** Build with Cmake
-
-- Build example (set your path for NNST_ROOT, then gst plugin path is ```$NNST_ROOT/lib```)
-
-```
-# prepare
-$ sudo apt-get install python-gi python3-gi  # for python example
-$ sudo apt-get install python-gst-1.0 python3-gst-1.0
-$ sudo apt-get install python-gst-1.0-dbg python3-gst-1.0-dbg
-$ export NNST_ROOT=$HOME/nnstreamer  # set your own path
-$ export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:$NNST_ROOT/lib
-$ export GST_PLUGIN_PATH=$GST_PLUGIN_PATH:$NNST_ROOT/lib
-```
-```
-# build example
-$ cd nnstreamer
-$ mkdir -p build  # We recommend to build in a "build" directory
-$ cd build
-$ rm -rf *        # Ensure the build directory is empty
-$ cmake -DCMAKE_INSTALL_PREFIX=${NNST_ROOT} -DINCLUDE_INSTALL_DIR=${NNST_ROOT}/include ..
-$ make install    # Install nnstreamer plugin libraries into $NNST_ROOT/lib
-$ cd ..
-```
-
-## Example : filter for image classification
-
-```
-v4l2src -- tee -- textoverlay -- videoconvert -- ximagesink
-            |
-            --- videoscale -- tensor_converter -- tensor_filter -- tensor_sink
-```
-
-NNStreamer example for image recognition.
-- Download tflite moel 'Mobilenet_1.0_224_quant' from [Here](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/contrib/lite/g3doc/models.md#image-classification-quantized-models)
-
-Displays video sink.
-
-1. 'tensor_filter' for image recognition. (classification with 224x224 image).
-2. 'tensor_sink' updates recognition result to display in textoverlay.
-
-- Run example
-```
-$ cd build/nnstreamer_example/example_filter
-$ ./nnstreamer_example_filter 
-```
-
-```
-# for python example
-$ cd nnstreamer_example/example_filter
-$ python nnstreamer_example_filter.py
-```
-
-## Example : video mixer with NNStreamer plug-in
-
-```
-v4l2src -- tee ------------------------------------------ videomixer -- videoconvert -- ximagesink (Mixed)
-            |                                                 |
-            --- tensor_converter -- tensordec -- videoscale ---
-            |
-            --- videoconvert -- ximagesink (Original)
-```
-
-Displays two video sinks,
-
-1. Original from cam
-2. Mixed : original + scaled (tensor_converter-tensor_dec-videoscale)
-
-In pipeline, converter-decoder passes video frame.
-
-- Run example
-```
-$ cd build/nnstreamer_example/example_cam
-$ ./nnstreamer_example_cam
-```
-
-## Example : tensor sink
-
-Two simple examples to use tensor sink.
-
-#### 1. 100 buffers passed to tensor sink
-
-```
-videotestsrc -- tensor_converter -- tensor_sink
-```
-
-Displays nothing, this sample code shows how to get buffer from tensor sink.
-
-- Run example
-```
-$ cd build/nnstreamer_example/example_sink
-$ ./nnstreamer_sink_example
-```
-
-#### 2. launch two pipelines
-
-```
-videotestsrc -- tensor_converter -- tensor_sink
-[push buffer from tensor_sink to appsrc]
-appsrc -- tensordec -- videoconvert -- ximagesink
-```
-
-Displays video sink.
-
-Tensor sink receives buffer and pushes it into appsrc in 2nd pipeline.
-
-- Run example
-```
-$ cd build/nnstreamer_example/example_sink
-$ ./nnstreamer_sink_example_play
-```
+See nnstreamer wiki page [Usage examples and screenshots](https://github.com/nnsuite/nnstreamer/wiki/usage-examples-screenshots)