[bash] Add tensor if sample application (#222)

Add tensor if sample applications.
These samples show how to use passthrough mode and tensorpick mode.

Signed-off-by: gichan-jang <gichan2.jang@samsung.com>

Author: gichan-jang

bash_script/example_tensorif/README.md

@@ -0,0 +1,17 @@
+## NNStreamer Native Sample Application - tensor_if
+### Introduction
+
+This example passes camera video stream to a neural network using **tensor_filter**. The neural network detects faces of people in input stream.  
+The tensor_if element controls the data stream depending on whether the face is detected from the filter.  
+If the face is detected, start detecting objects.
+
+### Graphical description of pipeline - tensor_if passthrough action
+
+When the face is detected, the tensor_if operates in passthrough mode.
+
+![pipeline-img](./tensorif_passthrough.png)
+
+When the face is detected, the tensor_if operates in tensorpick mode.  
+If there is a face, it detects the object, and if there is no face, it adjusts the colors of a video stream.
+
+![pipeline-img](./tensor_if_tensorpick.png)

bash_script/example_tensorif/gst-launch-tensorif-passthrough.sh

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+#video stream continuously
+gst-launch-1.0 \
+    tensor_mux name=mux_0 ! tensor_demux name=demux_0 \
+    v4l2src ! videoconvert ! video/x-raw,width=640,height=480,format=RGB,framerate=5/1 ! videocrop right=160 ! tee name=t_raw \
+      t_raw. ! queue leaky=2 max-size-buffers=2 ! videoscale ! video/x-raw,width=300,height=300,format=RGB ! tensor_converter ! mux_0.sink_0 \
+      t_raw. ! queue leaky=2 max-size-buffers=2 ! videoconvert ! videoscale ! video/x-raw,height=300,width=300,format=BGR ! tensor_converter ! \
+        tensor_transform mode=typecast option=float32 ! tensor_transform mode=dimchg option=0:2 ! \
+        tensor_filter framework=openvino model=openvino_models/face-detection-retail-0005.xml accelerator=true:cpu ! \
+        tensor_if name=tif compared_value=A_VALUE compared-value-option=2:0:0:0,0 \
+                  supplied-value=0.7 operator=GE then=PASSTHROUGH else=SKIP \
+        tif.src_0 ! queue leaky=2 max-size-buffers=2 ! mux_0.sink_1 demux_0.src_0 ! tee name=t_demux \
+            t_demux. ! queue leaky=2 max-size-buffers=2 ! tensor_transform mode=arithmetic option=typecast:float32,add:-127.5,div:127.5 ! \
+                tensor_filter framework=tensorflow-lite model=tflite_model/ssd_mobilenet_v2_coco.tflite ! \
+                tensor_decoder mode=bounding_boxes option1=tflite-ssd option2=tflite_model/coco_labels_list.txt option3=tflite_model/box_priors.txt option4=480:480 option5=300:300 ! \
+                compositor name=mix sink_0::zorder=2 sink_1::zorder=1 ! videoconvert ! \
+                textoverlay text="Stop detecting objects if face is not detected" valignment=top halignment=left font-desc="Sans, 32" ! ximagesink \
+    t_raw. ! queue leaky=2 max-size-buffers=2 ! mix.

bash_script/example_tensorif/gst-launch-tensorif-tensorpick.sh

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+#!/usr/bin/env bash
+gst-launch-1.0 v4l2src ! videoconvert ! video/x-raw,width=640,height=480,format=RGB,framerate=5/1 ! videocrop left=80 right=80 ! tee name=t_raw \
+    t_raw. ! queue ! videoscale ! video/x-raw,width=300,height=300,format=RGB ! tensor_converter ! mux_0.sink_0 \
+    t_raw. ! queue ! videoconvert ! video/x-raw,format=RGBx ! burn adjustment=30 ! videoconvert ! tensor_converter ! mux_0.sink_1 \
+    t_raw. ! queue  ! videoconvert ! videoscale ! video/x-raw,height=300,width=300,format=BGR ! tensor_converter ! \
+        tensor_transform mode=typecast option=float32 ! tensor_transform mode=dimchg option=0:2 ! \
+        tensor_filter framework=openvino model=openvino_models/face-detection-retail-0005.xml accelerator=true:cpu ! mux_0.sink_2 \
+        tensor_mux name=mux_0 ! tensor_if name=tif compared_value=A_VALUE compared-value-option=2:0:0:0,2 \
+                                          supplied-value=0.7 operator=GE then=TENSORPICK then-option=0 else=TENSORPICK else-option=1 \
+            tif.src_0 ! queue leaky=2 max-size-buffers=2 ! tensor_transform mode=arithmetic option=typecast:float32,add:-127.5,div:127.5 ! \
+                tensor_filter framework=tensorflow-lite model=tflite_model/ssd_mobilenet_v2_coco.tflite ! \
+                tensor_decoder mode=bounding_boxes option1=tflite-ssd option2=tflite_model/coco_labels_list.txt option3=tflite_model/box_priors.txt option4=480:480 option5=300:300 ! \
+                compositor name=mix sink_0::zorder=2 sink_1::zorder=1 ! videoconvert ! \
+                textoverlay text="Stop detecting objects if face is not detected" valignment=top halignment=left font-desc="Sans, 32" ! ximagesink sync=false async=false \
+            tif.src_1 ! queue leaky=2 max-size-buffers=2 ! tensor_decoder mode=direct_video ! videoconvert ! \
+            textoverlay text="Enabled when face is not detected" valignment=top halignment=left font-desc="Sans, 32" ! ximagesink sync=false async=false \
+    t_raw. ! queue leaky=2 max-size-buffers=2 ! mix.

bash_script/example_tensorif/meson.build

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+install_data(['gst-launch-tensorif-passthrough.sh',
+              'gst-launch-tensorif-tensorpick.sh'],
+  install_dir: examples_install_dir
+)

bash_script/example_tensorif/tensor_if_tensorpick.png

@@ -5,6 +5,9 @@ endif
 if have_tensorflow_lite
   subdir('example_object_detection_tensorflow_lite')
   subdir('example_image_segmentation_tensorflow_lite')
+  if have_openvino
+    subdir('example_tensorif')
+  endif
 endif
 
 if have_openvino