[Example] Style transfer inference ONNX model using ml-service API.

Add appsrc-pipeline based conf file for onnx-example.

Signed-off-by: Suyeon Kim <[email protected]>

Tizen.native/OnnxStyleTransferPipeline/.exportMap

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+{
+	global: main;
+	_IO_*;
+	local: *;
+};

Tizen.native/OnnxStyleTransferPipeline/.project

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+<?xml version="1.0" encoding="UTF-8"?>
+<projectDescription>
+	<name>OnnxStyleTransferPipeline</name>
+	<comment></comment>
+	<projects>
+	</projects>
+	<buildSpec>
+		<buildCommand>
+			<name>org.eclipse.cdt.managedbuilder.core.genmakebuilder</name>
+			<arguments>
+			</arguments>
+		</buildCommand>
+		<buildCommand>
+			<name>org.eclipse.cdt.managedbuilder.core.ScannerConfigBuilder</name>
+			<triggers>full,incremental,</triggers>
+			<arguments>
+			</arguments>
+		</buildCommand>
+	</buildSpec>
+	<natures>
+		<nature>org.eclipse.cdt.core.cnature</nature>
+		<nature>org.eclipse.cdt.core.ccnature</nature>
+		<nature>org.eclipse.cdt.managedbuilder.core.managedBuildNature</nature>
+		<nature>org.eclipse.cdt.managedbuilder.core.ScannerConfigNature</nature>
+	</natures>
+	<filteredResources>
+		<filter>
+			<id>1716767357612</id>
+			<name></name>
+			<type>26</type>
+			<matcher>
+				<id>org.eclipse.ui.ide.multiFilter</id>
+				<arguments>1.0-projectRelativePath-matches-false-false-*/.tpk</arguments>
+			</matcher>
+		</filter>
+		<filter>
+			<id>1716767357614</id>
+			<name></name>
+			<type>6</type>
+			<matcher>
+				<id>org.eclipse.ui.ide.multiFilter</id>
+				<arguments>1.0-name-matches-false-false-project_def.prop</arguments>
+			</matcher>
+		</filter>
+	</filteredResources>
+</projectDescription>

Tizen.native/OnnxStyleTransferPipeline/.tproject

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+<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
+<tproject xmlns="http://www.tizen.org/tproject">
+    <platforms>
+        <platform>
+            <name>tizen-8.0</name>
+        </platform>
+    </platforms>
+    <package>
+        <blacklist/>
+        <resFallback autoGen="true"/>
+    </package>
+</tproject>

Tizen.native/OnnxStyleTransferPipeline/README.md

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+---
+title: Style Transfer Onnx
+...
+
+# Style Transfer Onnx Sample App with NNStreamer Pipeline C-API
+Tizen Native App with NNStreamer Piepeline API
+
+## Description
+* This is a sample application of Tizen Native.
+* If you want to run it on your device, Tizen 9.0 or higher is required.
+* If you want to run it on Tizen 8.0 devices, you need to install  the latest packages of nnstreamer-onnxruntime and machine-learning-service.
+* About details of NNStreamer, please check [this page](https://docs.tizen.org/application/native/guides/machine-learning/machine-learning-inference).
+* The applied ONNX model file from [here](https://github.com/onnx/models/blob/main/validated/vision/style_transfer/fast_neural_style/README.md).
+
+## Result
+<img src="./before.png" width="320"> <img src="./after.png" width="320">
+

Tizen.native/OnnxStyleTransferPipeline/inc/onnxstyletransferpipeline.h

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+/**
+ * @file onnxstyletransferpipeline.h
+ * @date 27 May 2024
+ * @brief TIZEN Native Example App with NNStreamer/C-API.
+ * @see  https://github.com/nnstreamer/nnstreamer
+ * @author Suyeon Kim <[email protected]>
+ * @bug No known bugs except for NYI items
+ */
+
+#ifndef __onnxstyletransferpipeline_H__
+#define __onnxstyletransferpipeline_H__
+
+#include <app.h>
+#include <Elementary.h>
+#include <system_settings.h>
+#include <efl_extension.h>
+#include <dlog.h>
+
+#ifdef  LOG_TAG
+#undef  LOG_TAG
+#endif
+#define LOG_TAG "onnxstyletransferpipeline"
+
+#if !defined(PACKAGE)
+#define PACKAGE "org.example.onnxstyletransferpipeline"
+#endif
+
+#endif /* __onnxstyletransferpipeline_H__ */

Tizen.native/OnnxStyleTransferPipeline/project_def.prop

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+APPNAME = onnxstyletransferpipeline
+
+type = app
+profile = tizen-8.0
+
+USER_SRCS = src/onnxstyletransferpipeline.c
+USER_DEFS =
+USER_INC_DIRS = inc
+USER_OBJS =
+USER_LIBS =
+USER_EDCS =

Tizen.native/OnnxStyleTransferPipeline/res/onnx_style_transfer.pipeline.appsrc.conf

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+{
+    "pipeline" :
+    {
+        "description" : "appsrc name=appsrc caps=other/tensor,type=uint8,dimension=3:720:720:1,framerate=0/1 ! 
+        tensor_transform mode=transpose option=1:2:0:3 ! 
+        tensor_transform mode=arithmetic option=typecast:float32,add:0.0 ! 
+        tensor_filter framework=onnxruntime model=/opt/usr/globalapps/org.example.onnxstyletransferpipeline/res/candy.onnx !
+        tensor_converter ! tensor_transform mode=transpose option=2:0:1:3 !
+        tensor_transform mode=arithmetic option=mul:1.0,add:0.0 ! 
+        tensor_transform mode=clamp option=0:255 ! 
+        other/tensor,type=float32,dimension=3:720:720:1,framerate=0/1 ! 
+        tensor_transform mode=typecast option=uint8 ! 
+        other/tensor,type=uint8,dimension=3:720:720:1,framerate=0/1 ! 
+        tensor_decoder mode=direct_video ! videoconvert ! video/x-raw,width=720,height=720,format=BGRA,framerate=0/1 ! 
+        tensor_converter ! tensor_sink name=tensor_sink ",
+        "input_node" : [
+            {
+                "name" : "appsrc",
+                "info" : [
+                    {
+                        "type" : "uint8",
+                        "dimension" : "3:720:720:1"
+                    }
+                ]
+            }
+        ],
+        "output_node" : [
+            {
+                "name" : "tensor_sink",
+                "info" : [
+
+                    {
+                        "type" : "uint8",
+                        "dimension" : "3:720:720:1"
+                    }
+                ]
+            }
+        ]
+    }
+}
+