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authorTracy Narine <tracy.narine@arm.com>2024-01-17 13:14:28 +0000
committerTracy Narine <tracy.narine@arm.com>2024-01-17 13:38:01 +0000
commit8ea6c2d43394ce5f8dd4bc136f897e2df7a63d07 (patch)
tree3e91e3736fa23f4b9f387dbb2466f44c65c2c083 /samples
parent87f598feaf27463e32ab55864c0455eae8248018 (diff)
downloadarmnn-8ea6c2d43394ce5f8dd4bc136f897e2df7a63d07.tar.gz
IVGCVSW-8202 Update documents after TF 2.15 update
* Updated .md files with new version number Signed-off-by: Tracy Narine <tracy.narine@arm.com> Change-Id: I351d141838b95aca29f3ebe43f7e2f9944ec3417
Diffstat (limited to 'samples')
-rw-r--r--samples/ObjectDetection/Readme.md8
1 files changed, 4 insertions, 4 deletions
diff --git a/samples/ObjectDetection/Readme.md b/samples/ObjectDetection/Readme.md
index 0cc41eb785..29d627c0b2 100644
--- a/samples/ObjectDetection/Readme.md
+++ b/samples/ObjectDetection/Readme.md
@@ -20,7 +20,7 @@ with detections shown in bounding boxes, class labels and confidence.
This example utilizes OpenCV functions to capture and output video data.
1. Public Arm NN C++ API is provided by Arm NN library.
2. For Delegate file mode following dependencies exist:
-2.1 Tensorflow version 2.14
+2.1 Tensorflow version 2.15
2.2 Flatbuffers version 23.5.26
2.3 Arm NN delegate library
@@ -97,7 +97,7 @@ Please see [find_opencv.cmake](./cmake/find_opencv.cmake) for implementation det
### Tensorflow Lite (Needed only in delegate file mode)
-This application uses [Tensorflow Lite)](https://www.tensorflow.org/) version 2.14 for demonstrating use of 'armnnDelegate'.
+This application uses [Tensorflow Lite)](https://www.tensorflow.org/) version 2.15 for demonstrating use of 'armnnDelegate'.
armnnDelegate is a library for accelerating certain TensorFlow Lite operators on Arm hardware by providing
the TensorFlow Lite interpreter with an alternative implementation of the operators via its delegation mechanism.
You may clone and build Tensorflow lite and provide the path to its root and output library directories through the cmake
@@ -106,13 +106,13 @@ For implementation details see the scripts FindTfLite.cmake and FindTfLiteSrc.cm
The application links with the Tensorflow lite library libtensorflow-lite.a
-#### Download and build Tensorflow Lite version. We currently use Tf 2.14 for the Cmake build.
+#### Download and build Tensorflow Lite version. We currently use Tf 2.15 for the Cmake build.
Example for Tensorflow Lite native compilation
```commandline
sudo apt install build-essential
git clone https://github.com/tensorflow/tensorflow.git
cd tensorflow/tensorflow
-git checkout v2.14.0
+git checkout v2.15.0
mkdir build && cd build
cmake ../lite -DTFLITE_ENABLE_XNNPACK=OFF
make