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author | Nikhil Raj <nikhil.raj@arm.com> | 2023-04-27 12:02:08 +0100 |
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committer | Nikhil Raj Arm <nikhil.raj@arm.com> | 2023-05-03 14:12:01 +0000 |
commit | 4429dab3c277ac7b230efc1c293204874f5a286c (patch) | |
tree | 47ccab3b718f227a54279a3bdc631927f4212b71 /samples/ObjectDetection | |
parent | 8314e3e2dfe2ae22f26f25c172a233c17bba2477 (diff) | |
download | armnn-4429dab3c277ac7b230efc1c293204874f5a286c.tar.gz |
IVGCVSW-7528 Update Arm NN documentation to reflect use of Tensorflow 2.12
Signed-off-by: Nikhil Raj <nikhil.raj@arm.com>
Change-Id: Ib3aaba6d2bbe52978fc3e8873c78e4c2989131ed
Diffstat (limited to 'samples/ObjectDetection')
-rw-r--r-- | samples/ObjectDetection/Readme.md | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/samples/ObjectDetection/Readme.md b/samples/ObjectDetection/Readme.md index 4a119e5266..87a38b3ff7 100644 --- a/samples/ObjectDetection/Readme.md +++ b/samples/ObjectDetection/Readme.md @@ -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 2.10 +#### Download and build Tensorflow Lite version. We currently use Tf 2.12 SHA which has a fix 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 359c3cdfc5fabac82b3c70b3b6de2b0a8c16874f #Tensorflow 2.10 +git checkout 6f692f73cb2043b4a0b0446539cd8c15b3dd9220 mkdir build && cd build cmake ../lite -DTFLITE_ENABLE_XNNPACK=OFF make |