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author | Tracy Narine <tracy.narine@arm.com> | 2024-01-17 13:14:28 +0000 |
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committer | Tracy Narine <tracy.narine@arm.com> | 2024-01-17 13:38:01 +0000 |
commit | 8ea6c2d43394ce5f8dd4bc136f897e2df7a63d07 (patch) | |
tree | 3e91e3736fa23f4b9f387dbb2466f44c65c2c083 /samples/ObjectDetection | |
parent | 87f598feaf27463e32ab55864c0455eae8248018 (diff) | |
download | armnn-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/ObjectDetection')
-rw-r--r-- | samples/ObjectDetection/Readme.md | 8 |
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 |