Clean up variable declarations

Signed-off-by: Justin Georgi <justin.georgi@gmail.com>

src/assets/detect-worker.js

@@ -75,14 +75,18 @@ async function localDetect(imageData) {
 
   console.time('sw: post-process')
   const outputSize = res.shape[1]
-  let rawBoxes = []
+  const output = {
+    detections: []
+  }
+let rawBoxes = []
   let rawScores = []
+  let getScores, getBox, boxCalc
 
-  for (var i = 0; i < rawRes.length; i++) {
-    var getScores = rawRes[i].slice(4)
+  for (let i = 0; i < rawRes.length; i++) {
+    getScores = rawRes[i].slice(4)
     if (getScores.every( s => s < .05)) { continue }
-    var getBox = rawRes[i].slice(0,4)
-    var boxCalc = [
+    getBox = rawRes[i].slice(0,4)
+    boxCalc = [
       (getBox[0] - (getBox[2] / 2)) / modelWidth,
       (getBox[1] - (getBox[3] / 2)) / modelHeight,
       (getBox[0] + (getBox[2] / 2)) / modelWidth,
@@ -101,7 +105,7 @@ async function localDetect(imageData) {
     let boxes_data = []
     let scores_data = []
     let classes_data = []
-    for (var c = 0; c < outputSize - 4; c++) {
+    for (let c = 0; c < outputSize - 4; c++) {
       structureScores = rawScores.map(x => x[c])
       tScores = tf.tensor1d(structureScores)
       resBoxes = await tf.image.nonMaxSuppressionAsync(tBoxes,tScores,10,0.5,.05)
@@ -109,7 +113,7 @@ async function localDetect(imageData) {
       tf.dispose(resBoxes)
       if (validBoxes) {
         boxes_data.push(...rawBoxes.filter( (_, idx) => validBoxes.includes(idx)))
-        var outputScores = structureScores.filter( (_, idx) => validBoxes.includes(idx))
+        let outputScores = structureScores.filter( (_, idx) => validBoxes.includes(idx))
         scores_data.push(...outputScores)
         classes_data.push(...outputScores.fill(c))
       }
@@ -120,11 +124,8 @@ async function localDetect(imageData) {
     tf.dispose(tScores)
     tf.dispose(tRes)
     const valid_detections_data = classes_data.length
-    var output = {
-      detections: []
-    }
-    for (var i =0; i < valid_detections_data; i++) {
-      var [dLeft, dTop, dRight, dBottom] = boxes_data[i]
+    for (let i =0; i < valid_detections_data; i++) {
+      let [dLeft, dTop, dRight, dBottom] = boxes_data[i]
       output.detections.push({
         "top": dTop,
         "left": dLeft,
@@ -155,7 +156,7 @@ async function videoFrame (vidData) {
     const rawRes = tf.transpose(res,[0,2,1]).arraySync()[0]
 
     if (rawRes) {
-      for (var i = 0; i < rawRes.length; i++) {
+      for (let i = 0; i < rawRes.length; i++) {
         let getScores = rawRes[i].slice(4) 
         if (getScores.some( s => s > .5)) {
           let foundTarget = rawRes[i].slice(0,2)

src/pages/camera-mixin.js

@@ -58,7 +58,7 @@ export default {
           })
           if (eVid.data.coords) {
             imageCtx.clearRect(0,0,imCanvas.width,imCanvas.height)
-            for (var coord of eVid.data.coords) {
+            for (let coord of eVid.data.coords) {
               let pointX = (imCanvas.width - imgWidth) / 2 + (coord[0] / eVid.data.modelWidth) * imgWidth - 10
               let pointY = (imCanvas.height - imgHeight) / 2 + (coord[1] / eVid.data.modelHeight) * imgHeight - 10
               console.debug(`cx: ${pointX}, cy: ${pointY}`)
@@ -72,8 +72,7 @@ export default {
       const imCanvas = this.$refs.image_cvs
       const imageCtx = imCanvas.getContext("2d")
       const target = this.$refs.target_image
-      var imgWidth
-      var imgHeight
+      let imgWidth, imgHeight
       f7.utils.nextFrame(() => {
         imCanvas.width = imCanvas.clientWidth
         imCanvas.height = imCanvas.clientHeight

src/pages/contact.vue

@@ -56,7 +56,7 @@
     },
     computed: {
       commentText () {
-        var text = f7.textEditor.get('.comment-editor').getValue()
+        let text = f7.textEditor.get('.comment-editor').getValue()
         if (this.userEmail) {
           text += `\\n\\nSubmitted by: ${this.userEmail}`
         }
@@ -65,9 +65,9 @@
     },
     methods: {
       sendFeedback () {
-        var self = this
-        var issueURL = `https://gitea.azgeorgis.net/api/v1/repos/Georgi_Lab/ALVINN_f7/issues?access_token=9af8ae15b1ee5a98afcb3083bb488e4cf3c683af`
-        var xhr = new XMLHttpRequest()
+        let self = this
+        const issueURL = `https://gitea.azgeorgis.net/api/v1/repos/Georgi_Lab/ALVINN_f7/issues?access_token=9af8ae15b1ee5a98afcb3083bb488e4cf3c683af`
+        let xhr = new XMLHttpRequest()
         xhr.open("POST", issueURL)
         xhr.setRequestHeader('Content-Type', 'application/json')
         xhr.setRequestHeader('accept', 'application/json')

src/pages/detect.vue

@@ -227,7 +227,7 @@
           classesList = classes
           this.detectorLabels = classesList.map( l => { return {'name': l, 'detect': true} } )
         })
-      var loadServerSettings = localStorage.getItem('serverSettings')
+      const loadServerSettings = localStorage.getItem('serverSettings')
       if (loadServerSettings) serverSettings = JSON.parse(loadServerSettings)
     },
     mounted () {
@@ -284,7 +284,7 @@
         }
       },
       showResults () {
-        var filteredResults = this.resultData.detections
+        let filteredResults = this.resultData.detections
         if (!filteredResults) return []
 
         const allSelect = this.detectorLabels.every( s => { return s.detect } )
@@ -419,8 +419,8 @@
             this.imageView.src = null
             this.$refs.image_cvs.style['background-image'] = 'none'
             this.resultData = {}
-            var trackDetails = this.cameraStream.getVideoTracks()[0].getSettings()
-            var vidElement = this.$refs.vid_viewer
+            const trackDetails = this.cameraStream.getVideoTracks()[0].getSettings()
+            let vidElement = this.$refs.vid_viewer
             vidElement.width = trackDetails.width
             vidElement.height = trackDetails.height
             if (!this.useWorkers) {
@@ -594,7 +594,7 @@
         })
       },
       async submitData () {
-        var uploadData = this.showResults
+        let uploadData = this.showResults
           .filter( d => { return d.aboveThreshold && d.isSearched && !d.isDeleted })
           .map( r => { return {"top": r.top, "left": r.left, "bottom": r.bottom, "right": r.right, "label": r.label}})
         this.uploadUid = await this.uploadData(this.imageView.src.split(',')[1],uploadData,this.uploadUid)
@@ -622,7 +622,7 @@
         let clickY = (e.offsetY - this.canvasOffset.y) / this.canvasZoom
         let boxEnd = boxCoords.splice(0, this.selectedChip)
         boxCoords = boxCoords.concat(boxEnd)
-        var findBox = boxCoords.findIndex( (r, i) => { 
+        const findBox = boxCoords.findIndex( (r, i) => { 
           let di = loopIndex(i)
           if (di == this.selectedChip ) return false
           return r.left <= clickX &&

src/pages/detection-mixin.js

@@ -46,11 +46,11 @@ export default {
       let rawBoxes = []
       let rawScores = []
 
-      for (var i = 0; i < rawRes.length; i++) {
-        var getScores = rawRes[i].slice(4)
+      for (let i = 0; i < rawRes.length; i++) {
+        const getScores = rawRes[i].slice(4)
         if (getScores.every( s => s < .05)) { continue }
-        var getBox = rawRes[i].slice(0,4)
-        var boxCalc = [
+        const getBox = rawRes[i].slice(0,4)
+        const boxCalc = [
           (getBox[0] - (getBox[2] / 2)) / modelWidth,
           (getBox[1] - (getBox[3] / 2)) / modelHeight,
           (getBox[0] + (getBox[2] / 2)) / modelWidth,
@@ -69,7 +69,7 @@ export default {
         let boxes_data = []
         let scores_data = []
         let classes_data = []
-        for (var c = 0; c < outputSize - 4; c++) {
+        for (let c = 0; c < outputSize - 4; c++) {
           structureScores = rawScores.map(x => x[c])
           tScores = tf.tensor1d(structureScores)
           resBoxes = await tf.image.nonMaxSuppressionAsync(tBoxes,tScores,10,0.5,.05)
@@ -77,7 +77,7 @@ export default {
           tf.dispose(resBoxes)
           if (validBoxes) {
             boxes_data.push(...rawBoxes.filter( (_, idx) => validBoxes.includes(idx)))
-            var outputScores = structureScores.filter( (_, idx) => validBoxes.includes(idx))
+            let outputScores = structureScores.filter( (_, idx) => validBoxes.includes(idx))
             scores_data.push(...outputScores)
             classes_data.push(...outputScores.fill(c))
           }
@@ -88,11 +88,11 @@ export default {
         tf.dispose(tScores)
         tf.dispose(tRes)
         const valid_detections_data = classes_data.length
-        var output = {
+        const output = {
           detections: []
         }
-        for (var i =0; i < valid_detections_data; i++) {
-          var [dLeft, dTop, dRight, dBottom] = boxes_data[i]
+        for (let i =0; i < valid_detections_data; i++) {
+          const [dLeft, dTop, dRight, dBottom] = boxes_data[i]
           output.detections.push({
             "top": dTop,
             "left": dLeft,
@@ -110,9 +110,9 @@ export default {
       return output || { detections: [] }
     },
     getRemoteLabels() {
-      var self = this
-      var modelURL = `http://${this.serverSettings.address}:${this.serverSettings.port}/detectors`
-      var xhr = new XMLHttpRequest()
+      let self = this
+      const modelURL = `http://${this.serverSettings.address}:${this.serverSettings.port}/detectors`
+      let xhr = new XMLHttpRequest()
       xhr.open("GET", modelURL)
       xhr.setRequestHeader('Content-Type', 'application/json')
       xhr.timeout = 10000
@@ -124,8 +124,8 @@ export default {
           f7.dialog.alert(`ALVINN has encountered an error: ${errorResponse.error}`)
           return
         }
-        var detectors = JSON.parse(xhr.response).detectors
-        var findLabel = detectors
+        const detectors = JSON.parse(xhr.response).detectors
+        let findLabel = detectors
           .find( d => { return d.name == self.detectorName } )?.labels
           .filter( l => { return l != "" } ).sort()
           .map( l => { return {'name': l, 'detect': true} } )
@@ -139,9 +139,9 @@ export default {
       xhr.send()
     },
     remoteDetect() {
-      var self = this
-      var modelURL = `http://${this.serverSettings.address}:${this.serverSettings.port}/detect`
-      var xhr = new XMLHttpRequest()
+      let self = this
+      const modelURL = `http://${this.serverSettings.address}:${this.serverSettings.port}/detect`
+      let xhr = new XMLHttpRequest()
       xhr.open("POST", modelURL)
       xhr.timeout = 10000
       xhr.ontimeout = this.remoteTimeout
@@ -158,7 +158,7 @@ export default {
         self.uploadDirty = true
       }
       
-      var doodsData = {
+      const doodsData = {
         "detector_name": this.detectorName,
         "detect": {
           "*": 1
@@ -182,8 +182,7 @@ export default {
       imCanvas.width = imCanvas.clientWidth
       imCanvas.height = imCanvas.clientHeight
       imageCtx.clearRect(0,0,imCanvas.width,imCanvas.height)
-      var imgWidth
-      var imgHeight
+      let imgWidth, imgHeight
       const imgAspect = vidData.width / vidData.height
       const rendAspect = imCanvas.width / imCanvas.height
       if (imgAspect >= rendAspect) {
@@ -204,7 +203,7 @@ export default {
 
           let rawCoords = []
           if (rawRes) {
-            for (var i = 0; i < rawRes.length; i++) {
+            for (let i = 0; i < rawRes.length; i++) {
               let getScores = rawRes[i].slice(4) 
               if (getScores.some( s => s > .5)) {
                 let foundTarget = rawRes[i].slice(0,2)
@@ -214,7 +213,7 @@ export default {
             }
 
             imageCtx.clearRect(0,0,imCanvas.width,imCanvas.height)
-            for (var coord of rawCoords) {
+            for (let coord of rawCoords) {
               console.log(`x: ${coord[0]}, y: ${coord[1]}`)
               let pointX = (imCanvas.width - imgWidth) / 2 + (coord[0] / modelWidth) * imgWidth -5
               let pointY = (imCanvas.height - imgHeight) / 2 + (coord[1] / modelHeight) * imgHeight -5

src/pages/settings.vue

@@ -91,7 +91,7 @@
     computed: {
       otherIp () {
         let filteredIps = {}
-        for (var oldIp in this.serverSettings.previous) {
+        for (let oldIp in this.serverSettings.previous) {
           if (oldIp != this.serverSettings.address) {
             filteredIps[oldIp] = this.serverSettings.previous[oldIp]
           }
@@ -109,12 +109,12 @@
       }
     },
     created () {
-        var loadServerSettings = localStorage.getItem('serverSettings')
+        const loadServerSettings = localStorage.getItem('serverSettings')
         if (loadServerSettings) this.serverSettings =  JSON.parse(loadServerSettings)
         if (!this.serverSettings.previous) this.serverSettings.previous = {}
-        var loadThemeSettings = localStorage.getItem('themeSettings')
+        const loadThemeSettings = localStorage.getItem('themeSettings')
         if (loadThemeSettings) this.themeSettings = JSON.parse(loadThemeSettings)
-        var loadOtherSettings = localStorage.getItem('otherSettings')
+        const loadOtherSettings = localStorage.getItem('otherSettings')
         if (loadOtherSettings) this.otherSettings = JSON.parse(loadOtherSettings)
     },
     methods: {
@@ -136,7 +136,7 @@
         )
         saveSetting.then(
           () => {
-            var toast = f7.toast.create({
+            const toast = f7.toast.create({
               text: 'Settings saved',
               closeTimeout: 2000
             })
@@ -144,7 +144,7 @@
             this.isDirty = false;
           },
           () => {
-            var toast = f7.toast.create({
+            const toast = f7.toast.create({
               text: 'ERROR: No settings saved',
               closeTimeout: 2000
             })

src/pages/specs.vue

@@ -63,7 +63,7 @@
       return store()
     },
     created () {
-      var loadOtherSettings = localStorage.getItem('otherSettings')
+      const loadOtherSettings = localStorage.getItem('otherSettings')
       if (loadOtherSettings) this.otherSettings = JSON.parse(loadOtherSettings)
         fetch(`${this.isCordova ? 'https://localhost' : '.'}/models/thorax/descript.json`)
           .then((mod) => { return mod.json() })

src/pages/submit-mixin.js

@@ -5,8 +5,8 @@ export default {
     newUid (length) {
       const uidLength = length || 16
       const uidChars = 'abcdefghijklmnopqrstuvwxyz0123456789'
-      var uid = []
-      for (var i = 0; i < uidLength; i++) {
+      let uid = []
+      for (let i = 0; i < uidLength; i++) {
         uid.push(uidChars.charAt(Math.floor(Math.random() * ((i < 4) ? 26 : 36))))
       }
       return uid.join('')
@@ -14,24 +14,23 @@ export default {
     uploadData (imagePayload, classPayload, prevUid) {
       let uploadImage = new Promise (resolve => {
         const dataUid = prevUid || this.newUid(16)
-        var byteChars = window.atob(imagePayload)
-        var byteArrays = []
-        var len = byteChars.length
+        let byteChars = window.atob(imagePayload)
+        let byteArrays = []
     
-        for (var offset = 0; offset < len; offset += 1024) {
-          var slice = byteChars.slice(offset, offset + 1024)
-          var byteNumbers = new Array(slice.length)
-          for (var i = 0; i < slice.length; i++) {
+        for (let offset = 0; offset < byteChars.length; offset += 1024) {
+          let slice = byteChars.slice(offset, offset + 1024)
+          let byteNumbers = new Array(slice.length)
+          for (let i = 0; i < slice.length; i++) {
             byteNumbers[i] = slice.charCodeAt(i)
           }
 
-          var byteArray = new Uint8Array(byteNumbers)
+          let byteArray = new Uint8Array(byteNumbers)
           byteArrays.push(byteArray)
         }  
-        var imageBlob = new Blob(byteArrays, {type: 'image/jpeg'})   
+        const imageBlob = new Blob(byteArrays, {type: 'image/jpeg'})   
 
-        var xhrJpg = new XMLHttpRequest()
-        var uploadUrl = `https://nextcloud.azgeorgis.net/public.php/webdav/${dataUid}.jpeg`
+        let xhrJpg = new XMLHttpRequest()
+        let uploadUrl = `https://nextcloud.azgeorgis.net/public.php/webdav/${dataUid}.jpeg`
         xhrJpg.open("PUT", uploadUrl)
         xhrJpg.setRequestHeader('Content-Type', 'image/jpeg')
         xhrJpg.setRequestHeader('X-Method-Override', 'PUT')
@@ -39,8 +38,8 @@ export default {
         xhrJpg.setRequestHeader("Authorization", "Basic " + btoa("LKBm3H6JdSaywyg:"))
         xhrJpg.send(imageBlob)
 
-        var xhrTxt = new XMLHttpRequest()
-        var uploadUrl = `https://nextcloud.azgeorgis.net/public.php/webdav/${dataUid}.txt`
+        let xhrTxt = new XMLHttpRequest()
+        uploadUrl = `https://nextcloud.azgeorgis.net/public.php/webdav/${dataUid}.txt`
         xhrTxt.open("PUT", uploadUrl)
         xhrTxt.setRequestHeader('Content-Type', 'text/plain')
         xhrTxt.setRequestHeader('X-Method-Override', 'PUT')
@@ -51,7 +50,7 @@ export default {
         resolve(dataUid)
       })
       return uploadImage.then((newUid) => {
-        var toast = f7.toast.create({
+        const toast = f7.toast.create({
           text: 'Detections Uploaded: thank you.',
           closeTimeout: 2000
         })