[trivial] Fix broken link to nns source code

- Fix broken link to NNS boundingbox source.

Signed-off-by: Yongjoo Ahn <[email protected]>

README.md

@@ -64,7 +64,7 @@ Refer to this link for more examples : [[NNStreamer example](https://github.com/
 
 | Application | Implementations | Used gstreamer/nnstreamer feature |
 | -- | -- | -- |
-| [Object Detection](./bash_script/example_object_detection_tensorflow_lite/gst-launch-object-detection-tflite.sh) | - [tflite](./bash_script/example_object_detection_tensorflow_lite/gst-launch-object-detection-tflite.sh) <br> - [tf](./bash_script/example_object_detection_tensorflow/gst-launch-object-detection-tf.sh) | - v4l2src for input image stream<br> - [`tensor_decoder mode=bounding_boxes`](https://github.com/nnstreamer/nnstreamer/blob/main/ext/nnstreamer/tensor_decoder/tensordec-boundingbox.c) for postprocessing<br> - compositor for drawing decoded boxes |
+| [Object Detection](./bash_script/example_object_detection_tensorflow_lite/gst-launch-object-detection-tflite.sh) | - [tflite](./bash_script/example_object_detection_tensorflow_lite/gst-launch-object-detection-tflite.sh) <br> - [tf](./bash_script/example_object_detection_tensorflow/gst-launch-object-detection-tf.sh) | - v4l2src for input image stream<br> - [`tensor_decoder mode=bounding_boxes`](https://github.com/nnstreamer/nnstreamer/blob/main/ext/nnstreamer/tensor_decoder/tensordec-boundingbox.cc) for postprocessing<br> - compositor for drawing decoded boxes |
 | [Image Segmentation](./bash_script/example_image_segmentation_tensorflow_lite) | - [tflite](./bash_script/example_image_segmentation_tensorflow_lite/gst-launch-image-segmentation-tflite.sh)<br> - [Edge TPU](./bash_script/example_image_segmentation_tensorflow_lite)<br> &nbsp; &nbsp; * [Edge-AI server](./bash_script/example_image_segmentation_tensorflow_lite/gst-launch-image-seg-flatbuf-edgetpu-server.sh)<br> &nbsp; &nbsp; * [Edge-AI client](./bash_script/example_image_segmentation_tensorflow_lite/gst-launch-image-seg-flatbuf-edgetpu-client.sh)<br> | - v4l2src for input image stream<br> - [`tensor_decoder mode=image_segment`](https://github.com/nnstreamer/nnstreamer/blob/main/ext/nnstreamer/tensor_decoder/tensordec-imagesegment.c) for postprocessing<br>- tcpclientsrc / tcpserversink / gdppay / gdpdepay for networking between devices<br> - `tensor_converter` / `tensor_decoder mode=flatbuf` for using Flatbuffers  |
 | [Pipeline Flow Control in Face Detection](./bash_script/example_tensorif) | - [OpenVINO + tflite + passthrough](./bash_script/example_tensorif/gst-launch-tensorif-passthrough.sh)<br> - [OpenVINO + tflite + tensorpick](./bash_script/example_tensorif/gst-launch-tensorif-tensorpick.sh) | - v4l2src for input image stream<br> - `tensor_if` for flow control |
 
@@ -73,7 +73,7 @@ Refer to this link for more examples : [[NNStreamer example](https://github.com/
 | Application | Implementations | Used gstreamer/nnstreamer feature |
 | -- | -- | -- |
 | [<img src="./Tizen.native/ImageClassification_SingleShot/screenshot.png" width="250">](./Tizen.native/ImageClassification)<br> [Image Classification](./Tizen.native/ImageClassification) | - [Native App with Pipeline API](./Tizen.native/ImageClassification) <br> - [Native App with Single API](./Tizen.native/ImageClassification_SingleShot) | - appsrc for input image data from hardward camera<br> - [Machine Learning Inference Native API](https://docs.tizen.org/application/native/guides/machine-learning/machine-learning-inference/) |
-| [![object-detection](./Tizen.native/ObjectDetection/tizen-objectdetection-demo.webp)](./Tizen.native/ObjectDetection)<br> [Object Detection](./Tizen.native/ObjectDetection) | - [Native App with Pipeline API](Tizen.native/ObjectDetection) | - appsrc for input image data from hardward camera<br> - [`tensor_decoder mode=bounding_boxes`](https://github.com/nnstreamer/nnstreamer/blob/main/ext/nnstreamer/tensor_decoder/tensordec-boundingbox.c) for postprocessing<br> - [Pipeline API](https://docs.tizen.org/application/native/guides/machine-learning/machine-learning-inference/#pipeline-api) |
+| [![object-detection](./Tizen.native/ObjectDetection/tizen-objectdetection-demo.webp)](./Tizen.native/ObjectDetection)<br> [Object Detection](./Tizen.native/ObjectDetection) | - [Native App with Pipeline API](Tizen.native/ObjectDetection) | - appsrc for input image data from hardward camera<br> - [`tensor_decoder mode=bounding_boxes`](https://github.com/nnstreamer/nnstreamer/blob/main/ext/nnstreamer/tensor_decoder/tensordec-boundingbox.cc) for postprocessing<br> - [Pipeline API](https://docs.tizen.org/application/native/guides/machine-learning/machine-learning-inference/#pipeline-api) |
 | [![text-classification](./Tizen.NET/TextClassification/text-classification-demo.webp)](./Tizen.NET/TextClassification)<br>[Text Classification](./Tizen.NET/TextClassification) | - [Native App with Pipeline API](./Tizen.native/TextClassification)<br>- [.NET App with C# API](./Tizen.NET/TextClassification) | - appsrc for input text data<br>- [Pipeline API](https://docs.tizen.org/application/native/guides/machine-learning/machine-learning-inference/#pipeline-api)<br> - [C# API](https://samsung.github.io/TizenFX/API8/api/Tizen.MachineLearning.Inference.html) |
 | [![orientation-detection](./Tizen.native/OrientationDetection/orientation_detection.webp)](./Tizen.native/OrientationDetection)<br>[Orientation Detection](./Tizen.native/OrientationDetection) | - [Native App with Pipeline API](./Tizen.native/OrientationDetection)<br>- [.NET App with C# API](./Tizen.NET/OrientationDetection) | - [`tensor_src_tizensensor type=accelerometer`](https://github.com/nnstreamer/nnstreamer/blob/main/ext/nnstreamer/tensor_source/tensor_src_tizensensor.c)  for hardware sensor data<br>- [Pipeline API](https://docs.tizen.org/application/native/guides/machine-learning/machine-learning-inference/#pipeline-api)<br> - [C# API](https://samsung.github.io/TizenFX/API8/api/Tizen.MachineLearning.Inference.html) |
 | [![face_landmark](./Tizen.platform/Tizen_IoT_face_landmark/face_landmark.webp)](./Tizen.platform/Tizen_IoT_face_landmark)<br>[Face Landmark](./Tizen.platform/Tizen_IoT_face_landmark) | - [Tizen IoT App](./Tizen.platform/Tizen_IoT_face_landmark) | - v4l2src for input data from camera<br>- tizenwlsink for lendering video to display<br>- cairooverlay for drawing dots |