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[Tizen/Web] Refactoring ImageClassificationOffloading example
- Create utility module - Functionalization of duplicated part - Remove unused variables - Change var variables to use let type - Declare variables closer to where they are used Signed-off-by: Yelin Jeong <[email protected]>
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Original file line number | Diff line number | Diff line change |
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@@ -7,56 +7,67 @@ | |
* @author Yelin Jeong <[email protected]> | ||
*/ | ||
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var localSrc; | ||
var remoteSrc; | ||
var labels; | ||
var startTime; | ||
var ctx; | ||
var label; | ||
import { | ||
getNetworkType, | ||
getIpAddress, | ||
GetMaxIdx, | ||
GetImgPath, | ||
loadLabelInfo, | ||
} from './utils.js'; | ||
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/** | ||
* Find the index of maximum value in the given array | ||
* @param array the score list of each class | ||
* @returns the index of the maximum value | ||
*/ | ||
function GetMaxIdx(array) { | ||
if (array.length === 0) { | ||
console.log('array length zero') | ||
return -1; | ||
let fHandle = null; | ||
let tensorsData = null; | ||
let tensorsInfo = null; | ||
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function disposeData() { | ||
if (fHandle != null) { | ||
fHandle.close(); | ||
} | ||
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var max = array[0]; | ||
var maxIdx = 0; | ||
if (tensorsData != null) { | ||
tensorsData.dispose(); | ||
} | ||
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for (var i = 0; i < array.length; ++i) { | ||
if (array[i] > max) { | ||
maxIdx = i; | ||
max = array[i]; | ||
} | ||
if (tensorsInfo != null) { | ||
tensorsInfo.dispose(); | ||
} | ||
return maxIdx; | ||
} | ||
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/** | ||
* Get the jpeg image path | ||
* @returns image path | ||
*/ | ||
function GetImgPath() { | ||
const MAX_IMG_CNT = 2; | ||
var imgsrc = GetImgPath.count++ % MAX_IMG_CNT; | ||
imgsrc = imgsrc.toString().concat('.jpg'); | ||
return '/res/'.concat(imgsrc); | ||
let localHandle; | ||
let offloadingHandle; | ||
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function createPipelineDescription(isLocal, filter) { | ||
return ( | ||
'appsrc caps=image/jpeg name=srcx_' + (isLocal ? 'local' : 'offloading') + ' ! jpegdec ! ' + | ||
'videoconvert ! video/x-raw,format=RGB,framerate=0/1,width=224,height=224 ! tensor_converter ! ' + | ||
'other/tensor,format=static,dimension=(string)3:224:224:1,type=uint8,framerate=0/1 ! ' + filter + ' ! ' + | ||
'other/tensor,format=static,dimension=(string)1001:1,type=uint8,framerate=0/1 ! ' + | ||
'tensor_sink name=sinkx_' + (isLocal ? 'local' : 'offloading') | ||
); | ||
} | ||
GetImgPath.count = 0; | ||
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/** | ||
* Load the label from the text file and return the string array | ||
* @returns string array | ||
* Callback function for pipeline sink listener | ||
*/ | ||
function loadLabelInfo() { | ||
var fHandle = tizen.filesystem.openFile('wgt-package/res/labels.txt', 'r'); | ||
var labelList = fHandle.readString(); | ||
return labelList.split('\n'); | ||
function sinkListenerCallback(sinkName, data) { | ||
const endTime = performance.now(); | ||
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const tensorsRetData = data.getTensorRawData(0); | ||
const maxIdx = GetMaxIdx(tensorsRetData.data); | ||
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let type; | ||
if (sinkName.endsWith('local')) { | ||
type = 'local'; | ||
} | ||
else { | ||
type = 'offloading'; | ||
} | ||
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const label = document.getElementById('label_' + type); | ||
label.innerText = labels[maxIdx]; | ||
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const time = document.getElementById('time_' + type); | ||
time.innerText = type + ' : ' + (endTime - startTime) + ' ms'; | ||
} | ||
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/** | ||
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@@ -66,109 +77,37 @@ function runLocal() { | |
const modelPath = 'wgt-package/res/mobilenet_v1_1.0_224_quant.tflite'; | ||
const URI_PREFIX = 'file://'; | ||
const absModelPath = tizen.filesystem.toURI(modelPath).substr(URI_PREFIX.length); | ||
const filter = 'tensor_filter framework=tensorflow-lite model=' + absModelPath; | ||
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const pipelineDescription = 'appsrc caps=image/jpeg name=srcx_local ! jpegdec ! ' + | ||
'videoconvert ! video/x-raw,format=RGB,framerate=0/1,width=224,height=224 ! tensor_converter ! ' + | ||
'tensor_filter framework=tensorflow-lite model=' + absModelPath + ' ! ' + | ||
'appsink name=sinkx_local'; | ||
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const pHandle = tizen.ml.pipeline.createPipeline(pipelineDescription); | ||
pHandle.start(); | ||
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localSrc = pHandle.getSource('srcx_local'); | ||
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pHandle.registerSinkListener('sinkx_local', function(sinkName, data) { | ||
const endTime = performance.now(); | ||
const label = document.getElementById('label_local') | ||
const tensorsRetData = data.getTensorRawData(0); | ||
const maxIdx = GetMaxIdx(tensorsRetData.data); | ||
label.innerText = labels[maxIdx]; | ||
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const time = document.getElementById('time_local'); | ||
time.innerText = 'local : ' + (endTime - startTime) + ' ms' | ||
}); | ||
} | ||
const pipelineDescription = createPipelineDescription(true,filter); | ||
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let ip; | ||
async function getNetworkType() { | ||
return new Promise((resolve, reject) => { | ||
tizen.systeminfo.getPropertyValue("NETWORK", function (data) { | ||
resolve(data.networkType); | ||
}); | ||
}); | ||
} | ||
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async function getIpAddress(networkType) { | ||
return new Promise((resolve, reject) => { | ||
tizen.systeminfo.getPropertyValue( | ||
networkType + "_NETWORK", | ||
function (property) { | ||
resolve(property.ipAddress); | ||
}, | ||
); | ||
}); | ||
} | ||
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async function setIpAddress() { | ||
try { | ||
const networkType = await getNetworkType(); | ||
ip = await getIpAddress(networkType); | ||
console.log(ip); | ||
} | ||
catch (e) { | ||
console.error("Error getting IP address:", error); | ||
} | ||
localHandle = tizen.ml.pipeline.createPipeline(pipelineDescription); | ||
localHandle.start(); | ||
localHandle.registerSinkListener('sinkx_local', sinkListenerCallback); | ||
} | ||
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/** | ||
* Run a pipeline that uses other device's resources | ||
*/ | ||
async function runRemote() { | ||
await setIpAddress(); | ||
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const pipelineDescription = 'appsrc caps=image/jpeg name=srcx_remote ! jpegdec ! ' + | ||
'videoconvert ! video/x-raw,format=RGB,framerate=0/1,width=224,height=224 ! tensor_converter ! ' + | ||
'other/tensor,format=static,dimension=(string)3:224:224:1,type=uint8,framerate=0/1 ! ' + | ||
'tensor_query_client host='+ ip +' port=' + document.getElementById('port').value + ' dest-host=' + document.getElementById('ip').value + ' ' + | ||
'dest-port=' + document.getElementById('port').value + ' timeout=1000 ! ' + | ||
'other/tensor,format=static,dimension=(string)1001:1,type=uint8,framerate=0/1 ! tensor_sink name=sinkx_remote'; | ||
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const pHandle = tizen.ml.pipeline.createPipeline(pipelineDescription); | ||
pHandle.start(); | ||
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remoteSrc = pHandle.getSource('srcx_remote'); | ||
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pHandle.registerSinkListener('sinkx_remote', function(sinkName, data) { | ||
const endTime = performance.now(); | ||
const label = document.getElementById('label_offloading'); | ||
const tensorsRetData = data.getTensorRawData(0); | ||
const maxIdx = GetMaxIdx(tensorsRetData.data); | ||
label.innerText = labels[maxIdx]; | ||
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const time = document.getElementById('time_offloading'); | ||
time.innerText = 'offloading : ' + (endTime - startTime) + ' ms' | ||
}); | ||
} | ||
async function runOffloading() { | ||
const filter = 'tensor_query_client host=' + ip + ' port=' + document.getElementById('port').value + | ||
' dest-host=' + document.getElementById('ip').value + | ||
' dest-port=' + document.getElementById('port').value + | ||
' timeout=1000'; | ||
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let fHandle = null; | ||
let tensorsData = null; | ||
let tensorsInfo = null; | ||
const pipelineDescription = createPipelineDescription(false,filter); | ||
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function disposeData() { | ||
if (fHandle != null) { | ||
fHandle.close(); | ||
} | ||
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if (tensorsData != null) { | ||
tensorsData.dispose(); | ||
} | ||
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if (tensorsInfo != null) { | ||
tensorsInfo.dispose(); | ||
} | ||
offloadingHandle = tizen.ml.pipeline.createPipeline(pipelineDescription); | ||
offloadingHandle.start(); | ||
offloadingHandle.registerSinkListener('sinkx_offloading', sinkListenerCallback); | ||
} | ||
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function inference(src, canvas) { | ||
let startTime; | ||
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/** | ||
* Run a pipeline that uses other device's resources | ||
*/ | ||
function inference(isLocal) { | ||
const img_path = GetImgPath(); | ||
let img = new Image(); | ||
img.src = img_path; | ||
|
@@ -183,52 +122,63 @@ function inference(src, canvas) { | |
tensorsData = tensorsInfo.getTensorsData(); | ||
tensorsData.setTensorRawData(0, imgUInt8Array); | ||
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startTime = performance.now() | ||
src.inputData(tensorsData); | ||
startTime = performance.now(); | ||
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if (isLocal) { | ||
localHandle.getSource('srcx_local').inputData(tensorsData); | ||
} else { | ||
offloadingHandle.getSource('srcx_offloading').inputData(tensorsData); | ||
} | ||
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const canvasName = 'canvas_' + (isLocal ? 'local' : 'offloading'); | ||
const canvas = document.getElementById(canvasName); | ||
const ctx = canvas.getContext('2d'); | ||
ctx.drawImage(img, 0, 0); | ||
} | ||
ctx.drawImage(img, 0, 0); | ||
}; | ||
} | ||
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window.onload = function() { | ||
labels = loadLabelInfo(); | ||
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const btnLocal = document.getElementById('start_local'); | ||
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btnLocal.addEventListener('click', function() { | ||
runLocal(); | ||
}); | ||
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const btnOffloading = document.getElementById('start_offloading'); | ||
let ip; | ||
let labels; | ||
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btnOffloading.addEventListener('click', function() { | ||
runRemote(); | ||
}); | ||
window.onload = async function () { | ||
const networkType = await getNetworkType(); | ||
ip = await getIpAddress(networkType); | ||
labels = loadLabelInfo(); | ||
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const localPage = document.getElementById('local'); | ||
document | ||
.getElementById('start_local') | ||
.addEventListener('click', function () { | ||
runLocal(); | ||
}); | ||
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localPage.addEventListener('click', function() { | ||
if (localSrc) { | ||
inference(localSrc, document.getElementById('canvas_local')); | ||
} | ||
}); | ||
document | ||
.getElementById('start_offloading') | ||
.addEventListener('click', function () { | ||
runOffloading(); | ||
}); | ||
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const offloadingPage = document.getElementById('offloading'); | ||
document | ||
.getElementById('local') | ||
.addEventListener('click', function () { | ||
inference(true); | ||
}); | ||
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offloadingPage.addEventListener('click', function() { | ||
if (remoteSrc) { | ||
inference(remoteSrc, document.getElementById('canvas_offloading')); | ||
} | ||
}); | ||
document | ||
.getElementById('offloading') | ||
.addEventListener('click', function () { | ||
inference(false); | ||
}); | ||
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/* add eventListener for tizenhwkey */ | ||
document.addEventListener('tizenhwkey', function(e) { | ||
document.addEventListener('tizenhwkey', function (e) { | ||
if (e.keyName === 'back') { | ||
try { | ||
console.log('Pipeline is disposed!!'); | ||
pHandle.stop(); | ||
pHandle.dispose(); | ||
localHandle.stop(); | ||
localHandle.dispose(); | ||
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offloadingHandle.stop(); | ||
offloadingHandle.dispose(); | ||
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disposeData(); | ||
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