Merge pull request #39404 from freedomtan:reformat_cleanup_label_image_readme
PiperOrigin-RevId: 312833154 Change-Id: Ifa241950299da888472c1b6f7c47dd1828183c12
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b96ec1082d
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@ -111,27 +111,41 @@ uniform 0.0379589: 907 Windsor tie 0.00735866: 466 bulletproof vest 0.00605307:
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To run a model with the Hexagon Delegate, assuming we have followed the
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To run a model with the Hexagon Delegate, assuming we have followed the
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[Hexagon Delegate Guide](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/lite/g3doc/performance/hexagon_delegate.md)
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[Hexagon Delegate Guide](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/lite/g3doc/performance/hexagon_delegate.md)
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and installed Hexagon libraries in `/data/local/tmp`. Run it `adb shell
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and installed Hexagon libraries in `/data/local/tmp`. Run it wth (`-j 1`) `adb
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"/data/local/tmp/label_image \ -m
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shell \ "/data/local/tmp/label_image \ -m
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/data/local/tmp/mobilenet_v1_1.0_224_quant.tflite \ -i
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/data/local/tmp/mobilenet_v1_1.0_224_quant.tflite \ -i
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/data/local/tmp/grace_hopper.bmp \ -l /data/local/tmp/labels.txt -j 1"` then you
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/data/local/tmp/grace_hopper.bmp \ -l /data/local/tmp/labels.txt -j 1"` then you
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should see something like the followings: ``` Loaded model
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should see something like the followings: ``` Loaded model
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/data/local/tmp/mobilenet_v1_1.0_224_quant.tflite resolved reporter INFO:
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/data/local/tmp/mobilenet_v1_1.0_224_quant.tflite resolved reporter INFO:
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Initialized TensorFlow Lite runtime. INFO: Created TensorFlow Lite delegate for
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Initialized TensorFlow Lite runtime. loaded libcdsprpc.so INFO: Created
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Hexagon. INFO: Hexagon delegate: 31 nodes delegated out of 31 nodes.
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TensorFlow Lite delegate for Hexagon. INFO: Hexagon delegate: 31 nodes delegated
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out of 31 nodes with 1 partitions.
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remote_handle_control available and used Applied Hexagon delegate.invoked
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Applied Hexagon delegate.invoked average time: 4.231 ms 0.639216: 458 bow tie
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average time: 8.307 ms 0.729412: 653 military uniform 0.0980392: 907 Windsor tie
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0.329412: 653 military uniform 0.00784314: 835 suit 0.00784314: 611 jersey
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0.0313726: 466 bulletproof vest 0.0313726: 458 bow tie 0.0117647: 700 panpipe
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0.00392157: 514 cornet ```
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```
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Run the model with the XNNPACK delegate (`-x 1`), `adb shell
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Run the model with the XNNPACK delegate (`-x 1`), `adb shell \
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"/data/local/tmp/label_image \ -m /data/local/tmp/mobilenet_v1_1.0_224.tflite \
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"/data/local/tmp/label_image \ -m /data/local/tmp/mobilenet_v1_1.0_224.tflite \
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-i /data/local/tmp/grace_hopper.bmp \ -l /data/local/tmp/labels.txt -x 1"` then
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-i /data/local/tmp/grace_hopper.bmp \ -l /data/local/tmp/labels.txt -x 1"` then
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you should see something like the followings: `Loaded model
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you should see something like the followings: `Loaded model
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/data/local/tmp/mobilenet_v1_1.0_224.tflite resolved reporter INFO: Initialized
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/data/local/tmp/mobilenet_v1_1.0_224.tflite resolved reporter INFO: Initialized
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TensorFlow Lite runtime. Applied XNNPACK delegate.invoked average time: 11.0237
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TensorFlow Lite runtime. Applied XNNPACK delegate.invoked average time: 17.33 ms
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ms 0.90707: 653 military uniform 0.0372418: 907 Windsor tie 0.0073376: 466
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0.90707: 653 military uniform 0.0372418: 907 Windsor tie 0.0073376: 466
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bulletproof vest 0.00592856: 458 bow tie 0.00414093: 514 cornet`
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bulletproof vest 0.00592857: 458 bow tie 0.00414093: 514 cornet`
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With `-h` or any other unsupported flags, `label_image` will list supported
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options `sargo:/data/local/tmp $ ./label_image -h ./label_image: invalid
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option -- h label_image --accelerated, -a: [0|1], use Android NNAPI or not
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--old_accelerated, -d: [0|1], use old Android NNAPI delegate or not
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--allow_fp16, -f: [0|1], allow running fp32 models with fp16 or not --count, -c:
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loop interpreter->Invoke() for certain times --gl_backend, -g: [0|1]: use GL GPU
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Delegate on Android --hexagon_delegate, -j: [0|1]: use Hexagon Delegate on
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Android --input_mean, -b: input mean --input_std, -s: input standard deviation
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--image, -i: image_name.bmp --labels, -l: labels for the model --tflite_model,
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-m: model_name.tflite --profiling, -p: [0|1], profiling or not --num_results,
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-r: number of results to show --threads, -t: number of threads --verbose, -v:
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[0|1] print more information --warmup_runs, -w: number of warmup runs
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--xnnpack_delegate, -x [0:1]: xnnpack delegate`
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See the `label_image.cc` source code for other command line options.
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See the `label_image.cc` source code for other command line options.
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@ -362,8 +362,8 @@ void display_usage() {
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<< "--old_accelerated, -d: [0|1], use old Android NNAPI delegate or not\n"
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<< "--old_accelerated, -d: [0|1], use old Android NNAPI delegate or not\n"
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<< "--allow_fp16, -f: [0|1], allow running fp32 models with fp16 or not\n"
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<< "--allow_fp16, -f: [0|1], allow running fp32 models with fp16 or not\n"
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<< "--count, -c: loop interpreter->Invoke() for certain times\n"
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<< "--count, -c: loop interpreter->Invoke() for certain times\n"
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<< "--gl_backend, -g: use GL GPU Delegate on Android\n"
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<< "--gl_backend, -g: [0|1]: use GL GPU Delegate on Android\n"
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<< "--hexagon_delegate: use Hexagon Delegate on Android\n"
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<< "--hexagon_delegate, -j: [0|1]: use Hexagon Delegate on Android\n"
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<< "--input_mean, -b: input mean\n"
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<< "--input_mean, -b: input mean\n"
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<< "--input_std, -s: input standard deviation\n"
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<< "--input_std, -s: input standard deviation\n"
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<< "--image, -i: image_name.bmp\n"
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<< "--image, -i: image_name.bmp\n"
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@ -374,7 +374,7 @@ void display_usage() {
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<< "--threads, -t: number of threads\n"
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<< "--threads, -t: number of threads\n"
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<< "--verbose, -v: [0|1] print more information\n"
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<< "--verbose, -v: [0|1] print more information\n"
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<< "--warmup_runs, -w: number of warmup runs\n"
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<< "--warmup_runs, -w: number of warmup runs\n"
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<< "--xnnpack_delegate, -x: xnnpack delegate\n"
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<< "--xnnpack_delegate, -x [0:1]: xnnpack delegate\n"
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<< "\n";
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<< "\n";
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}
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}
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