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[tflite] reformat/cleanup label_image readme.md

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Koan-Sin Tan 2020-05-11 17:14:11 +08:00
parent ca55b85c00
commit f208ff6827
1 changed files with 88 additions and 36 deletions
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tensorflow/lite/examples/label_image/README.md
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@ -90,48 +90,100 @@ adb push tensorflow/lite/examples/label_image/testdata/grace_hopper.bmp /data/l
adb push /tmp/labels.txt /data/local/tmp adb push /tmp/labels.txt /data/local/tmp
``` ```
Run it, `adb shell "/data/local/tmp/label_image \ -m Run it,
/data/local/tmp/mobilenet_v1_1.0_224.tflite \ -i ```
/data/local/tmp/grace_hopper.bmp \ -l /data/local/tmp/labels.txt"` then you adb shell "/data/local/tmp/label_image \
should see something like the followings: `Loaded model -m /data/local/tmp/mobilenet_v1_1.0_224.tflite \
/data/local/tmp/mobilenet_v1_1.0_224.tflite resolved reporter INFO: Initialized -i /data/local/tmp/grace_hopper.bmp \
TensorFlow Lite runtime. invoked average time: 25.03 ms 0.907071: 653 military -l /data/local/tmp/labels.txt"
uniform 0.0372416: 907 Windsor tie 0.00733753: 466 bulletproof vest 0.00592852: ```
458 bow tie 0.00414091: 514 cornet` then you should see something like the followings:
```
Loaded model /data/local/tmp/mobilenet_v1_1.0_224.tflite
resolved reporter
INFO: Initialized
TensorFlow Lite runtime.
invoked
average time: 25.03 ms
0.907071: 653 military uniform
0.0372416: 907 Windsor tie
0.00733753: 466 bulletproof vest
0.00592852: 458 bow tie
0.00414091: 514 cornet
```
Run the model with NNAPI delegate (`-a 1`), `adb shell Run the model with NNAPI delegate (`-a 1`),
"/data/local/tmp/label_image \ -m /data/local/tmp/mobilenet_v1_1.0_224.tflite \ ```
-i /data/local/tmp/grace_hopper.bmp \ -l /data/local/tmp/labels.txt -a 1 -f 1"` adb shell "/data/local/tmp/label_image \
then you should see something like the followings: `Loaded model -m /data/local/tmp/mobilenet_v1_1.0_224.tflite \
/data/local/tmp/mobilenet_v1_1.0_224.tflite resolved reporter INFO: Initialized -i /data/local/tmp/grace_hopper.bmp \
TensorFlow Lite runtime. INFO: Created TensorFlow Lite delegate for NNAPI. -l /data/local/tmp/labels.txt -a 1 -f 1"
Applied NNAPI delegate. invoked average time:10.348 ms 0.905401: 653 military ```
uniform 0.0379589: 907 Windsor tie 0.00735866: 466 bulletproof vest 0.00605307: then you should see something like the followings:
458 bow tie 0.00422573: 514 cornet` ```
Loaded model /data/local/tmp/mobilenet_v1_1.0_224.tflite
resolved reporter
INFO: Initialized
TensorFlow Lite runtime.
INFO: Created TensorFlow Lite delegate for NNAPI.
Applied NNAPI delegate.
invoked
average time:10.348 ms
0.905401: 653 military uniform
0.0379589: 907 Windsor tie
0.00735866: 466 bulletproof vest
0.00605307: 458 bow tie
0.00422573: 514 cornet
```
To run a model with the Hexagon Delegate, assuming we have followed the To run a model with the Hexagon Delegate, assuming we have followed the
[Hexagon Delegate Guide](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/lite/g3doc/performance/hexagon_delegate.md) [Hexagon Delegate Guide](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/lite/g3doc/performance/hexagon_delegate.md)
and installed Hexagon libraries in `/data/local/tmp`. Run it `adb shell and installed Hexagon libraries in `/data/local/tmp`. Run it
"/data/local/tmp/label_image \ -m ```
/data/local/tmp/mobilenet_v1_1.0_224_quant.tflite \ -i adb shell \
/data/local/tmp/grace_hopper.bmp \ -l /data/local/tmp/labels.txt -j 1"` then you "/data/local/tmp/label_image \
should see something like the followings: ``` Loaded model -m /data/local/tmp/mobilenet_v1_1.0_224_quant.tflite \
/data/local/tmp/mobilenet_v1_1.0_224_quant.tflite resolved reporter INFO: -i /data/local/tmp/grace_hopper.bmp \
Initialized TensorFlow Lite runtime. INFO: Created TensorFlow Lite delegate for -l /data/local/tmp/labels.txt -j 1"
Hexagon. INFO: Hexagon delegate: 31 nodes delegated out of 31 nodes. ```
then you should see something like the followings:
```
Loaded model /data/local/tmp/mobilenet_v1_1.0_224_quant.tflite
resolved reporter
INFO: Initialized TensorFlow Lite runtime.
loaded libcdsprpc.so
INFO: Created TensorFlow Lite delegate for Hexagon.
INFO: Hexagon delegate: 31 nodes delegated out of 31 nodes with 1 partitions.
remote_handle_control available and used Applied Hexagon delegate.invoked Applied Hexagon delegate.invoked
average time: 8.307 ms 0.729412: 653 military uniform 0.0980392: 907 Windsor tie average time: 4.231 ms
0.0313726: 466 bulletproof vest 0.0313726: 458 bow tie 0.0117647: 700 panpipe 0.639216: 458 bow tie
0.329412: 653 military uniform
0.00784314: 835 suit
0.00784314: 611 jersey
0.00392157: 514 cornet
``` ```
Run the model with the XNNPACK delegate (`-x 1`), `adb shell Run the model with the XNNPACK delegate (`-x 1`),
"/data/local/tmp/label_image \ -m /data/local/tmp/mobilenet_v1_1.0_224.tflite \ ```
-i /data/local/tmp/grace_hopper.bmp \ -l /data/local/tmp/labels.txt -x 1"` then adb shell \
you should see something like the followings: `Loaded model "/data/local/tmp/label_image \
/data/local/tmp/mobilenet_v1_1.0_224.tflite resolved reporter INFO: Initialized -m /data/local/tmp/mobilenet_v1_1.0_224.tflite \
TensorFlow Lite runtime. Applied XNNPACK delegate.invoked average time: 11.0237 -i /data/local/tmp/grace_hopper.bmp \
ms 0.90707: 653 military uniform 0.0372418: 907 Windsor tie 0.0073376: 466 -l /data/local/tmp/labels.txt -x 1"
bulletproof vest 0.00592856: 458 bow tie 0.00414093: 514 cornet` ```
then you should see something like the followings:
```
Loaded model /data/local/tmp/mobilenet_v1_1.0_224.tflite
resolved reporter
INFO: Initialized TensorFlow Lite runtime.
Applied XNNPACK delegate.invoked
average time: 17.33 ms
0.90707: 653 military uniform
0.0372418: 907 Windsor tie
0.0073376: 466 bulletproof vest
0.00592857: 458 bow tie
0.00414093: 514 cornet
```
See the `label_image.cc` source code for other command line options. See the `label_image.cc` source code for other command line options.