Commit 9db270b0 authored by Sergio Guadarrama's avatar Sergio Guadarrama
Browse files

Minor fixes to README.md for NASNet for TF Slim.

PiperOrigin-RevId: 173823563
parent 3d4d30a0
...@@ -29,7 +29,7 @@ More information on integrating NASNet Models into your project can be found at ...@@ -29,7 +29,7 @@ More information on integrating NASNet Models into your project can be found at
To get started running models on-device go to [TensorFlow Mobile](https://www.tensorflow.org/mobile/). To get started running models on-device go to [TensorFlow Mobile](https://www.tensorflow.org/mobile/).
###Sample Commands for using NASNet-A Mobile and Large Checkpoints for Inference ## Sample Commands for using NASNet-A Mobile and Large Checkpoints for Inference
------- -------
Run eval with the NASNet-A mobile ImageNet model Run eval with the NASNet-A mobile ImageNet model
...@@ -45,7 +45,7 @@ python tensorflow_models/research/slim/eval_image_classifier \ ...@@ -45,7 +45,7 @@ python tensorflow_models/research/slim/eval_image_classifier \
--dataset_split_name=validation \ --dataset_split_name=validation \
--model_name=nasnet_mobile \ --model_name=nasnet_mobile \
--eval_image_size=224 \ --eval_image_size=224 \
--moving_average_decay=0.9999 \ --moving_average_decay=0.9999
``` ```
Run eval with the NASNet-A large ImageNet model Run eval with the NASNet-A large ImageNet model
...@@ -62,5 +62,5 @@ python tensorflow_models/research/slim/eval_image_classifier \ ...@@ -62,5 +62,5 @@ python tensorflow_models/research/slim/eval_image_classifier \
--dataset_split_name=validation \ --dataset_split_name=validation \
--model_name=nasnet_large \ --model_name=nasnet_large \
--eval_image_size=331 \ --eval_image_size=331 \
--moving_average_decay=0.9999 \ --moving_average_decay=0.9999
``` ```
...@@ -31,6 +31,8 @@ from __future__ import absolute_import ...@@ -31,6 +31,8 @@ from __future__ import absolute_import
from __future__ import division from __future__ import division
from __future__ import print_function from __future__ import print_function
import google3
import tensorflow as tf import tensorflow as tf
......
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