IVGCVSW-3726 - Doxygen Beautification

 * Added .dox files for main sections
 * Merged .md files into .dox files
 * Updated Doxyfile
 * Stylesheet for Doxygen

Signed-off-by: Ryan OShea <Ryan.OShea2@arm.com>
Change-Id: Ic13c28b3235fca91aeb463cd5063750aa6d85be8

1 files changed, 107 insertions, 0 deletions

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+/// Copyright (c) 2017 ARM Limited.
+///
+/// SPDX-License-Identifier: MIT
+///
+/// Permission is hereby granted, free of charge, to any person obtaining a copy
+/// of this software and associated documentation files (the "Software"), to deal
+/// in the Software without restriction, including without limitation the rights
+/// to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+/// copies of the Software, and to permit persons to whom the Software is
+/// furnished to do so, subject to the following conditions:
+///
+/// The above copyright notice and this permission notice shall be included in all
+/// copies or substantial portions of the Software.
+///
+/// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+/// IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+/// FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+/// AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+/// LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+/// OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+/// SOFTWARE.
+///
+
+namespace armnn
+{
+/**
+@page other_tools Other Tools
+@tableofcontents
+
+@section S14_image_csv_file_generator The ImageCSVFileGenerator
+
+The `ImageCSVFileGenerator` is a program for creating a CSV file that contains a list of .raw tensor files. These
+.raw tensor files can be generated using the`ImageTensorGenerator`.
+
+|Cmd:|||
+| ---|---|---|
+| -h | --help    | Display help messages |
+| -i | --indir   | Directory that .raw files are stored in |
+| -o | --outfile | Output CSV file path |
+
+Example usage: <br/>
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~.sh
+./ImageCSVFileGenerator -i /path/to/directory/ -o /output/path/csvfile.csv
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+<br/><br/><br/><br/>
+
+@section S15_image_tensor_generator The ImageTensorGenerator
+
+The `ImageTensorGenerator` is a program for pre-processing a .jpg image before generating a .raw tensor file from it.
+
+Build option:
+To build ModelAccuracyTool, pass the following options to Cmake:
+* -DBUILD_ARMNN_QUANTIZER=1
+
+|Cmd:|||
+| ---|---|---|
+| -h | --help         | Display help messages |
+| -f | --model-format | Format of the intended model file that uses the images.Different formats have different image normalization styles.Accepted values (caffe, tensorflow, tflite) |
+| -i | --infile       | Input image file to generate tensor from |
+| -o | --outfile      | Output raw tensor file path |
+| -z | --output-type  | The data type of the output tensors.If unset, defaults to "float" for all defined inputs. Accepted values (float, int or qasymm8)
+|    | --new-width    |Resize image to new width. Keep original width if unspecified |
+|    | --new-height   |             Resize image to new height. Keep original height if unspecified |
+| -l | --layout       | Output data layout, "NHWC" or "NCHW". Default value: NHWC |
+
+Example usage: <br/>
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~.sh
+ .sh ./ImageTensorGenerator -i /path/to/image/dog.jpg -o /output/path/dog.raw --new-width 224 --new-height 224
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+<br/><br/><br/><br/>
+
+@section S16_model_accuracy_tool_armnn 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.
+
+Build option:
+To build ModelAccuracyTool, pass the following options to Cmake:
+* -DFLATC_DIR=/path/to/flatbuffers/x86build/
+* -DBUILD_ACCURACY_TOOL=1
+* -DBUILD_ARMNN_SERIALIZER=1
+
+|Cmd:|||
+| ---|---|---|
+| -h | --help                   | Display help messages |
+| -m | --model-path             | Path to armnn format model file |
+| -f | --model-format           | The model format. Supported values: caffe, tensorflow, tflite |
+| -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 |
+| -d | --data-dir               | Path to directory containing the ImageNet test data |
+| -p | --model-output-labels    | Path to model output labels file.
+| -v | --validation-labels-path | Path to ImageNet Validation Label file
+| -l | --data-layout ]          | Data layout. Supported value: NHWC, NCHW. Default: NHWC
+| -c | --compute                | Which device to run layers on by default. Possible choices: CpuRef, CpuAcc, GpuAcc. Default: CpuAcc, CpuRef |
+| -r | --validation-range       | The range of the images to be evaluated. Specified in the form <begin index>:<end index>. The index starts at 1 and the range is inclusive. By default the evaluation will be performed on all images. |
+| -b | --blacklist-path         | Path to a blacklist file where each line denotes the index of an image to be excluded from evaluation. |
+
+Example usage: <br/>
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~.sh
+./ModelAccuracyTool -m /path/to/model/model.armnn -f tflite -i input -o output -d /path/to/test/directory/ -p /path/to/model-output-labels -v /path/to/file/val.txt -c CpuRef -r 1:100
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+<br/><br/>
+
+**/
+}
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