IVGCVSW-3069 Add documentation for ModelAccuracyTool-Armnn

Signed-off-by: Conor Kennedy <conor.kennedy@arm.com>
Change-Id: I1e128982ba0e1c99ee4532276f679dda37095201

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+# 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>