Readability fixes (I guess)
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@ -593,27 +593,25 @@ class ArDetector {
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}
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const fastLetterboxTestRes = this.fastLetterboxPresenceTest(imageData, sampleCols);
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if (! fastLetterboxTestRes) {
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// If we don't detect letterbox, we reset aspect ratio to aspect ratio of the video file. The aspect ratio could
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// have been corrected manually. It's also possible that letterbox (that was there before) disappeared.
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if (! fastLetterboxTestRes) {
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this.logger.log('info', 'arDetect', `%c[ArDetect::frameCheck] Letterbox not detected in fast test. Letterbox is either gone or we manually corrected aspect ratio. Video will be reset back to default aspect ratio.`, "color: #fa3");
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this.conf.resizer.updateAr({type: AspectRatioType.Automatic, ratio: this.defaultAr});
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this.guardLine.reset();
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this.noLetterboxCanvasReset = true;
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this.logger.log('info', 'arDetect_verbose', `%c[ArDetect::frameCheck] Letterbox not detected in fast test. Letterbox is either gone or we manually corrected aspect ratio. Nothing will be done.`, "color: #fa3");
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this.clearImageData(imageData);
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return;
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}
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// Če preverjamo naprej, potem moramo postaviti to vrednost nazaj na 'false'. V nasprotnem primeru se bo
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// css resetiral enkrat na video/pageload namesto vsakič, ko so za nekaj časa obrobe odstranejene
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// if we look further we need to reset this value back to false. Otherwise we'll only get CSS reset once
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// per video/pageload instead of every time letterbox goes away (this can happen more than once per vid)
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this.noLetterboxCanvasReset = false;
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// poglejmo, če obrežemo preveč.
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// let's check if we're cropping too much
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const guardLineOut = this.guardLine.check(imageData, false);
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@ -655,9 +653,7 @@ class ArDetector {
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this.logger.log('info', 'arDetect', `[ArDetect::frameCheck] something went wrong while checking for pillarbox. Error:\n`, e);
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}
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// pa poglejmo, kje se končajo črne letvice na vrhu in na dnu videa.
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let edgePost = this.edgeDetector.findBars(imageData, sampleCols, EdgeDetectPrimaryDirection.Vertical, EdgeDetectQuality.Improved, guardLineOut, bfAnalysis);
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this.logger.log('info', 'arDetect_verbose', `%c[ArDetect::frameCheck] edgeDetector returned this\n`, "color: #aaf", edgePost);
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if (edgePost.status !== EdgeStatus.ARKnown){
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@ -669,8 +665,7 @@ class ArDetector {
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}
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let newAr = this.calculateArFromEdges(edgePost);
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this.logger.log('info', 'arDetect_verbose', `%c[ArDetect::frameCheck] Triggering aspect ration change! new ar: ${newAr}`, "color: #aaf");
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this.logger.log('info', 'arDetect', `%c[ArDetect::frameCheck] Triggering aspect ration change! new ar: ${newAr}`, "color: #aaf");
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// we also know edges for guardline, so set them. If edges are okay and not invalid, we also
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// allow automatic aspect ratio correction. If edges
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@ -678,7 +673,6 @@ class ArDetector {
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try {
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// throws error if top/bottom are invalid
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this.guardLine.setBlackbar({top: edgePost.guardLineTop, bottom: edgePost.guardLineBottom});
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this.processAr(newAr);
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} catch (e) {
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// edges weren't gucci, so we'll just reset
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@ -858,7 +852,8 @@ class ArDetector {
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}
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/**
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* Does a quick test to see if the aspect ratio is correct
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* Does a quick test to see if the aspect ratio is correct by checking the topmost
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* row of a video.
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* Returns 'true' if there's a chance of letterbox existing, false if not.
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* @param imageData
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* @param sampleCols
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@ -871,25 +866,31 @@ class ArDetector {
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// If we detect anything darker than blackLevel, we modify blackLevel to the new lowest value
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const rowOffset = this.canvas.width * (this.canvas.height - 1);
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let currentMin = 255, currentMax = 0, colOffset_r, colOffset_g, colOffset_b, colOffset_rb, colOffset_gb, colOffset_bb, blthreshold = this.settings.active.arDetect.blackbar.threshold;
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let currentMin = 255, currentMax = 0, colOffset_r, colOffset_g, colOffset_b, colOffset_rb, colOffset_gb, colOffset_bb, blThreshold = this.settings.active.arDetect.blackbar.threshold;
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// detect black level. if currentMax comes above blackbar + blackbar threshold, we know we aren't letterboxed
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let violationCount = 0;
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let currentBrightPixelThreshold = this.blackLevel + blThreshold;
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const maxViolations = sampleCols.length / 3;
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for (let i = 0; i < sampleCols.length; ++i){
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colOffset_r = sampleCols[i] << 2;
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colOffset_g = colOffset_r + 1;
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colOffset_b = colOffset_r + 2;
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colOffset_rb = colOffset_r + rowOffset;
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colOffset_gb = colOffset_g + rowOffset;
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colOffset_bb = colOffset_b + rowOffset;
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// colOffset_rb = colOffset_r + rowOffset;
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// colOffset_gb = colOffset_g + rowOffset;
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// colOffset_bb = colOffset_b + rowOffset;
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currentMax = Math.max(
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imageData[colOffset_r], imageData[colOffset_g], imageData[colOffset_b],
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// imageData[colOffset_rb], imageData[colOffset_gb], imageData[colOffset_bb],
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currentMax
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);
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if (
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imageData[colOffset_r] > currentBrightPixelThreshold
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|| imageData[colOffset_g] > currentBrightPixelThreshold
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|| imageData[colOffset_g] > currentBrightPixelThreshold
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) {
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violationCount++;
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}
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if (currentMax > this.blackLevel + blthreshold) {
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if (violationCount > maxViolations) {
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// we search no further
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if (currentMin < this.blackLevel) {
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this.blackLevel = currentMin;
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@ -897,14 +898,18 @@ class ArDetector {
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return false;
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}
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currentMax = Math.max(
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imageData[colOffset_r], imageData[colOffset_g], imageData[colOffset_b],
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// imageData[colOffset_rb], imageData[colOffset_gb], imageData[colOffset_bb],
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currentMax
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);
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currentMin = Math.min(
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currentMax,
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currentMin
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);
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}
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if (currentMin < this.blackLevel) {
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this.blackLevel = currentMin
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}
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