107 lines
5.6 KiB
Plaintext
107 lines
5.6 KiB
Plaintext
/// Copyright (c) 2020 ARM Limited.
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///
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/// SPDX-License-Identifier: MIT
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///
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/// Permission is hereby granted, free of charge, to any person obtaining a copy
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/// of this software and associated documentation files (the "Software"), to deal
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/// in the Software without restriction, including without limitation the rights
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/// to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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/// copies of the Software, and to permit persons to whom the Software is
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/// furnished to do so, subject to the following conditions:
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///
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/// The above copyright notice and this permission notice shall be included in all
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/// copies or substantial portions of the Software.
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///
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/// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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/// IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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/// FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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/// AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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/// LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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/// OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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/// SOFTWARE.
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///
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namespace armnn
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{
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/**
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@page other_tools Other Tools
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@tableofcontents
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@section S14_image_csv_file_generator The ImageCSVFileGenerator
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The `ImageCSVFileGenerator` is a program for creating a CSV file that contains a list of .raw tensor files. These
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.raw tensor files can be generated using the`ImageTensorGenerator`.
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|Cmd:|||
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| ---|---|---|
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| -h | --help | Display help messages |
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| -i | --indir | Directory that .raw files are stored in |
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| -o | --outfile | Output CSV file path |
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Example usage: <br/>
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~.sh
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./ImageCSVFileGenerator -i /path/to/directory/ -o /output/path/csvfile.csv
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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<br/><br/><br/><br/>
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@section S15_image_tensor_generator The ImageTensorGenerator
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The `ImageTensorGenerator` is a program for pre-processing a .jpg image before generating a .raw tensor file from it.
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Build option:
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To build ModelAccuracyTool, pass the following options to Cmake:
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* -DBUILD_ARMNN_QUANTIZER=1
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|Cmd:|||
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| -h | --help | Display help messages |
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| -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) |
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| -i | --infile | Input image file to generate tensor from |
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| -o | --outfile | Output raw tensor file path |
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| -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)
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| | --new-width |Resize image to new width. Keep original width if unspecified |
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| | --new-height | Resize image to new height. Keep original height if unspecified |
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| -l | --layout | Output data layout, "NHWC" or "NCHW". Default value: NHWC |
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Example usage: <br/>
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~.sh
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.sh ./ImageTensorGenerator -i /path/to/image/dog.jpg -o /output/path/dog.raw --new-width 224 --new-height 224
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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<br/><br/><br/><br/>
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@section S16_model_accuracy_tool_armnn The ModelAccuracyTool-ArmNN
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The `ModelAccuracyTool-Armnn` is a program for measuring the Top 5 accuracy results of a model against an image dataset.
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Prerequisites:
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1. The model is in .armnn format model file. The `ArmnnConverter` can be used to convert a model to this format.
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Build option:
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To build ModelAccuracyTool, pass the following options to Cmake:
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* -DFLATC_DIR=/path/to/flatbuffers/x86build/
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* -DBUILD_ACCURACY_TOOL=1
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* -DBUILD_ARMNN_SERIALIZER=1
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|Cmd:|||
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| -h | --help | Display help messages |
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| -m | --model-path | Path to armnn format model file |
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| -f | --model-format | The model format. Supported values: caffe, tensorflow, tflite |
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| -i | --input-name | Identifier of the input tensors in the network separated by comma |
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| -o | --output-name | Identifier of the output tensors in the network separated by comma |
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| -d | --data-dir | Path to directory containing the ImageNet test data |
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| -p | --model-output-labels | Path to model output labels file.
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| -v | --validation-labels-path | Path to ImageNet Validation Label file
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| -l | --data-layout ] | Data layout. Supported value: NHWC, NCHW. Default: NHWC
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| -c | --compute | Which device to run layers on by default. Possible choices: CpuRef, CpuAcc, GpuAcc. Default: CpuAcc, CpuRef |
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| -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. |
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| -b | --blacklist-path | Path to a blacklist file where each line denotes the index of an image to be excluded from evaluation. |
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Example usage: <br/>
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~.sh
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./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
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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<br/><br/>
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**/
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} |