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authorRaviv Shalev <raviv.shalev@arm.com>2021-12-07 15:18:09 +0200
committerTeresaARM <teresa.charlinreyes@arm.com>2022-04-13 15:33:31 +0000
commit97ddc06e52fbcabfd8ede7a00e9494c663186b92 (patch)
tree43c84d352c3a67aa45d89760fba6c79b81c8f8dc /python/pyarmnn/examples/keyword_spotting/README.MD
parent2f0ddb67d8f9267ab600a8a26308cab32f9e16ac (diff)
downloadarmnn-97ddc06e52fbcabfd8ede7a00e9494c663186b92.tar.gz
MLECO-2493 Add python OD example with TFLite delegate
Signed-off-by: Raviv Shalev <raviv.shalev@arm.com> Change-Id: I25fcccbf912be0c5bd4fbfd2e97552341958af35
Diffstat (limited to 'python/pyarmnn/examples/keyword_spotting/README.MD')
-rw-r--r--python/pyarmnn/examples/keyword_spotting/README.MD2
1 files changed, 1 insertions, 1 deletions
diff --git a/python/pyarmnn/examples/keyword_spotting/README.MD b/python/pyarmnn/examples/keyword_spotting/README.MD
index d276c08f8e..dde8342e7f 100644
--- a/python/pyarmnn/examples/keyword_spotting/README.MD
+++ b/python/pyarmnn/examples/keyword_spotting/README.MD
@@ -166,7 +166,7 @@ mfcc_feats = np.dot(self._dct_matrix, log_mel_energy)
# audio_utils.py
# Quantize the input data and create input tensors with PyArmNN
input_tensor = quantize_input(input_tensor, input_binding_info)
-input_tensors = ann.make_input_tensors([input_binding_info], [input_tensor])
+input_tensors = ann.make_input_tensors([input_binding_info], [input_data])
```
Note: `ArmnnNetworkExecutor` has already created the output tensors for you.