Rework blackframe to not use its own drawImage call
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@ -206,20 +206,20 @@ class ArDetector {
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if (this.canvas) {
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this.canvas.remove();
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}
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if (this.blackframeCanvas) {
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this.blackframeCanvas.remove();
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}
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// if (this.blackframeCanvas) {
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// this.blackframeCanvas.remove();
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// }
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// things to note: we'll be keeping canvas in memory only.
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this.canvas = document.createElement("canvas");
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this.canvas.width = cwidth;
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this.canvas.height = cheight;
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this.blackframeCanvas = document.createElement("canvas");
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this.blackframeCanvas.width = this.settings.active.arDetect.canvasDimensions.blackframeCanvas.width;
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this.blackframeCanvas.height = this.settings.active.arDetect.canvasDimensions.blackframeCanvas.height;
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// this.blackframeCanvas = document.createElement("canvas");
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// this.blackframeCanvas.width = this.settings.active.arDetect.canvasDimensions.blackframeCanvas.width;
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// this.blackframeCanvas.height = this.settings.active.arDetect.canvasDimensions.blackframeCanvas.height;
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this.context = this.canvas.getContext("2d");
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this.blackframeContext = this.blackframeCanvas.getContext("2d");
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// this.blackframeContext = this.blackframeCanvas.getContext("2d");
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// do setup once
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@ -689,97 +689,28 @@ class ArDetector {
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let partialDrawImageTime = 0;
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let sampleCols = this.sampleCols.slice(0);
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//
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// [0] blackframe tests (they also determine whether we need fallback mode)
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//
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try {
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startTime = performance.now();
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// do it in ghetto async. This way, other javascript function should be able to
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// get a chance to do something _before_ we process our data
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await new Promise<void>(
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resolve => {
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this.blackframeContext.drawImage(this.video, 0, 0, this.blackframeCanvas.width, this.blackframeCanvas.height);
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resolve();
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}
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);
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partialDrawImageTime += performance.now() - startTime;
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this.fallbackMode = false;
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// If we detected DRM and if we're here, this means we're also using Google Chrome.
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// And if we're here while DRM is detected, we know we'll be looking at black frames.
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// We won't be able to do anything useful, therefore we're just gonna call it quits.
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if (this.conf.hasDrm) {
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this.logger.log('info', 'debug', 'we have drm, doing nothing.', this.conf.hasDrm);
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return;
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let startTime = performance.now();
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await new Promise<void>(
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resolve => {
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this.context.drawImage(this.video, 0, 0, this.canvas.width, this.canvas.height);
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resolve();
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}
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} catch (e) {
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this.logger.log('error', 'arDetect', `%c[ArDetect::frameCheck] <@${this.arid}> %c[ArDetect::frameCheck] can't draw image on canvas. ${this.canDoFallbackMode ? 'Trying canvas.drawWindow instead' : 'Doing nothing as browser doesn\'t support fallback mode.'}`, "color:#000; backgroud:#f51;", e);
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)
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const imageData = this.context.getImageData(0, 0, this.canvas.width, this.canvas.height).data;
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timerResults.imageDrawTime = performance.now() - startTime;
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if (! this.canvasReadyForDrawWindow()) {
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// this means canvas needs to be resized, so we'll just re-run setup with all those new parameters
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this.halt();
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let newCanvasWidth = window.innerHeight * (this.video.videoWidth / this.video.videoHeight);
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let newCanvasHeight = window.innerHeight;
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if (this.conf.resizer.videoAlignment === VideoAlignmentType.Center) {
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this.canvasDrawWindowHOffset = Math.round((window.innerWidth - newCanvasWidth) * 0.5);
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} else if (this.conf.resizer.videoAlignment === VideoAlignmentType.Left) {
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this.canvasDrawWindowHOffset = 0;
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} else {
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this.canvasDrawWindowHOffset = window.innerWidth - newCanvasWidth;
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}
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this.setup(newCanvasWidth, newCanvasHeight);
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return;
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}
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// if this is the case, we'll first draw on canvas, as we'll need intermediate canvas if we want to get a
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// smaller sample for blackframe check
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this.fallbackMode = true;
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startTime = performance.now();
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try {
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(this.context as any).drawWindow(window, this.canvasDrawWindowHOffset, 0, this.canvas.width, this.canvas.height);
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} catch (e) {
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this.logger.log('error', 'arDetect', `%c[ArDetect::frameCheck] can't draw image on canvas with fallback mode either. This error is prolly only temporary.`, "color:#000; backgroud:#f51;", e);
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return; // it's prolly just a fluke, so we do nothing special here
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}
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// draw blackframe sample from our main sample:
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await new Promise<void>(
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resolve => {
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this.blackframeContext.drawImage(this.canvas, this.blackframeCanvas.width, this.blackframeCanvas.height);
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resolve();
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}
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);
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partialDrawImageTime += performance.now() - startTime;
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this.logger.log('info', 'arDetect_verbose', `%c[ArDetect::frameCheck] canvas.drawImage seems to have worked`, "color:#000; backgroud:#2f5;");
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}
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const bfanalysis = this.blackframeTest();
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if (bfanalysis.isBlack) {
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const bfAnalysis = await this.blackframeTest(imageData);
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if (bfAnalysis.isBlack) {
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// we don't do any corrections on frames confirmed black
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this.logger.log('info', 'arDetect_verbose', `%c[ArDetect::frameCheck] Black frame analysis suggests this frame is black or too dark. Doing nothing.`, "color: #fa3", bfanalysis);
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this.logger.log('info', 'arDetect_verbose', `%c[ArDetect::frameCheck] Black frame analysis suggests this frame is black or too dark. Doing nothing.`, "color: #fa3", bfAnalysis);
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timerResults.blackFrameDrawTime = bfAnalysis.processingTime.blackFrameDrawTime;
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timerResults.blackFrameProcessTime = bfAnalysis.processingTime.blackFrameProcessTime;
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this.addPerformanceMeasurement(timerResults);
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return;
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}
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// if we are in fallback mode, then frame has already been drawn to the main canvas.
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// if we are in normal mode though, the frame has yet to be drawn
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if (!this.fallbackMode) {
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startTime = performance.now();
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await new Promise<void>(
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resolve => {
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this.context.drawImage(this.video, 0, 0, this.canvas.width, this.canvas.height);
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resolve();
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}
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)
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partialDrawImageTime += performance.now() - startTime;
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}
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this.addPerformanceTimeMeasure(this.performance.drawImage, partialDrawImageTime);
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startTime = performance.now();
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const imageData = this.context.getImageData(0, 0, this.canvas.width, this.canvas.height).data;
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this.addPerformanceTimeMeasure(this.performance.getImageData, performance.now() - startTime);
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@ -932,18 +863,34 @@ class ArDetector {
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this.blackLevel = this.settings.active.arDetect.blackbar.blackLevel;
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}
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blackLevelTest_full() {
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}
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blackframeTest() {
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async blackframeTest(imageData) {
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if (this.blackLevel === undefined) {
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this.logger.log('info', 'arDetect_verbose', "[ArDetect::blackframeTest] black level undefined, resetting");
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this.resetBlackLevel();
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}
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const rows = this.blackframeCanvas.height;
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const cols = this.blackframeCanvas.width;
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/**
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* Performs a quick black frame test
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*/
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const bfDrawStartTime = performance.now();
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// await new Promise<void>(
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// resolve => {
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// this.blackframeContext.drawImage(this.video, 0, 0, this.blackframeCanvas.width, this.blackframeCanvas.height);
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// resolve();
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// }
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// );
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// const rows = this.blackframeCanvas.height;
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// const cols = this.blackframeCanvas.width;
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// const bfImageData = this.blackframeContext.getImageData(0, 0, cols, rows).data;
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const rows = this.settings.active.arDetect.canvasDimensions.blackframeCanvas.width;
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const cols = this.settings.active.arDetect.canvasDimensions.blackframeCanvas.height;
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const samples = rows * cols;
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const blackFrameDrawTime = performance.now() - bfDrawStartTime;
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const bfProcessStartTime = performance.now();
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const pixels = rows * cols;
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let cumulative_r = 0, cumulative_g = 0, cumulative_b = 0;
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let max_r = 0, max_g = 0, max_b = 0;
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@ -956,6 +903,13 @@ class ArDetector {
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const bfImageData = this.blackframeContext.getImageData(0, 0, cols, rows).data;
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const blackTreshold = this.blackLevel + this.settings.active.arDetect.blackbar.frameThreshold;
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const actualPixels = imageData.length / 4;
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// generate some random points that we'll use for sampling black frame.
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const sampleArray = new Array(samples);
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for (let i = 0; i < samples; i++) {
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sampleArray[i] = Math.round(Math.random() * actualPixels);
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}
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// we do some recon for letterbox and pillarbox. While this can't determine whether letterbox/pillarbox exists
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// with sufficient level of certainty due to small sample resolution, it can still give us some hints for later
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@ -964,25 +918,24 @@ class ArDetector {
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let r: number, c: number;
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for (const i of sampleArray) {
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pixelMax = Math.max(imageData[i], imageData[i+1], imageData[i+2]);
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imageData[i+3] = pixelMax;
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for (let i = 0; i < bfImageData.length; i+= 4) {
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pixelMax = Math.max(bfImageData[i], bfImageData[i+1], bfImageData[i+2]);
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bfImageData[i+3] = pixelMax;
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if (pixelMax < blackTreshold) {
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if (pixelMax < blackThreshold) {
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if (pixelMax < this.blackLevel) {
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this.blackLevel = pixelMax;
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}
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blackPixelCount++;
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} else {
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cumulativeValue += pixelMax;
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cumulative_r += bfImageData[i];
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cumulative_g += bfImageData[i+1];
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cumulative_b += bfImageData[i+2];
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cumulative_r += imageData[i];
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cumulative_g += imageData[i+1];
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cumulative_b += imageData[i+2];
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max_r = max_r > bfImageData[i] ? max_r : bfImageData[i];
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max_g = max_g > bfImageData[i+1] ? max_g : bfImageData[i+1];
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max_b = max_b > bfImageData[i+2] ? max_b : bfImageData[i+2];
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max_r = max_r > imageData[i] ? max_r : imageData[i];
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max_g = max_g > imageData[i+1] ? max_g : imageData[i+1];
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max_b = max_b > imageData[i+2] ? max_b : imageData[i+2];
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}
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r = ~~(i/rows);
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@ -1007,11 +960,11 @@ class ArDetector {
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avg_b = (cumulative_b / imagePixels) * max_b;
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// second pass for color variance
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for (let i = 0; i < bfImageData.length; i+= 4) {
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if (bfImageData[i+3] >= this.blackLevel) {
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var_r += Math.abs(avg_r - bfImageData[i] * max_r);
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var_g += Math.abs(avg_g - bfImageData[i+1] * max_g);
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var_b += Math.abs(avg_b - bfImageData[i+1] * max_b);
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for (let i = 0; i < imageData.length; i+= 4) {
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if (imageData[i+3] >= this.blackLevel) {
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var_r += Math.abs(avg_r - imageData[i] * max_r);
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var_g += Math.abs(avg_g - imageData[i+1] * max_g);
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var_b += Math.abs(avg_b - imageData[i+1] * max_b);
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}
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}
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