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diff --git a/tests/ModelAccuracyTool-Armnn/README.md b/tests/ModelAccuracyTool-Armnn/README.md new file mode 100644 index 0000000000..2a8c977968 --- /dev/null +++ b/tests/ModelAccuracyTool-Armnn/README.md @@ -0,0 +1,22 @@ +# The ModelAccuracyTool-Armnn + +The `ModelAccuracyTool-Armnn` is a program for measuring the Top 5 accuracy results of a model against an image dataset. + +Prerequisites: +1. The model is in .armnn format model file. The `ArmnnConverter` can be used to convert a model to this format. +2. The ImageNet test data is in raw tensor file format. The `ImageTensorGenerator` can be used to convert the test +images to this format. + +|Cmd:||| +| ---|---|---| +| -h | --help | Display help messages | +| -m | --model-path | Path to armnn format model file | +| -c | --compute | Which device to run layers on by default. Possible choices: CpuRef, CpuAcc, GpuAcc | +| -d | --data-dir | Path to directory containing the ImageNet test data | +| -i | --input-name | Identifier of the input tensors in the network separated by comma | +| -o | --output-name | Identifier of the output tensors in the network separated by comma | +| -v | --validation-labels-path | Path to ImageNet Validation Label file | + +Example usage: <br> +<code>./ModelAccuracyTool -m /path/to/model/model.armnn -c CpuRef -d /path/to/test/directory/ -i input -o output +-v /path/to/file/val.txt</code> |