Example #1
0
 public FrameSet(BlackAndWhiteDoubleArray frame1, BlackAndWhiteDoubleArray frame2, StreamWriter stream, long box)
 {
     frameOne   = frame1;
     frameTwo   = frame2;
     fileStream = stream;
     BoxSize    = box;
 }
Example #2
0
        // SLOW DO NOT USE
        #region threeThreadImplementation
        //rather than generating a new thread for every box, this one generates only 3 threads to be better optimized to run on a 4 thread CPU
        public StatisticalBox ThreeThreadOpticFlowAsync(BlackAndWhiteDoubleArray _firstFrame, BlackAndWhiteDoubleArray _secondFrame, int _boxSize)
        {
            firstFrame  = _firstFrame;
            secondFrame = _secondFrame;
            boxSize     = _boxSize;

            //determine the size of the buffers on the outside of the frame, and set the size of the output array
            if (firstFrame.height % boxSize == 0)
            {
                topBuffer = boxSize / 2;
                Height    = firstFrame.height / boxSize - 1;
            }
            else
            {
                topBuffer = (firstFrame.height % boxSize) / 2;
                Height    = firstFrame.height / boxSize;
            }

            if (firstFrame.width % boxSize == 0)
            {
                leftBuffer = boxSize / 2;
                Width      = firstFrame.width / boxSize - 1;
            }
            else
            {
                leftBuffer = (firstFrame.width % boxSize) / 2;
                Width      = firstFrame.width / boxSize;
            }
            opticflow = new Vector2[Height, Width];
            leftover  = Height % 3;

            Parallel.Invoke(() => RunBlock(topBuffer, 0, Height / 3), () => RunBlock(topBuffer + (Height / 3) * boxSize, Height / 3, Height / 3), () => RunBlock(topBuffer + (Height / 3) * 2 * boxSize, (Height / 3) * 2, Height / 3 + leftover));

            return(CalculateStatistics());
        }
Example #3
0
        public async void StartAsync()
        {
            await Task.Run(() =>
            {
                double frameToSkip = 1;    //the number of frames to skip, setting to 1 never skips a frame
                double nextFrame   = 0;    //the next frame to analyze, we always analyze the first frame

                if (DesiredFramerate < reader.FrameRate)
                {
                    frameToSkip = (double)reader.FrameRate / DesiredFramerate;
                }

                BlackAndWhiteDoubleArray firstFrame;
                var secondFrame = new BlackAndWhiteDoubleArray(reader.ReadVideoFrame()); //load the first frame outside of the loop as prep

                output = new StreamWriter(resultsPath);

                //for some reason ~4-5 frames from the end I was getting out of index errors so I just said f**k it and quit 10 frames early
                for (CompletedFrames = 1; CompletedFrames < reader.FrameCount - 10; CompletedFrames++)
                {
                    //if (CompletedFrames % 200 == 0) Console.WriteLine($"OPTS: {CompletedFrames}");  //write progress to console, not required, but nice for debug

                    if ((int)nextFrame <= CompletedFrames)                                          //we do <= to catch any potential double fuckery
                    {
                        nextFrame += frameToSkip;
                        try
                        {
                            firstFrame  = secondFrame;
                            secondFrame = new BlackAndWhiteDoubleArray(reader.ReadVideoFrame());
                            var fs      = new FrameSet(firstFrame, secondFrame, output, BoxSize);
                            VideoToBitmap.framesToAnalyse.Add(fs);
                        }
                        catch (NullReferenceException) //writes to the debug log the frame that caused problems but still throws the exception, I may want to catch this elsewhere
                        {
                            Console.WriteLine(CompletedFrames);
                            throw;
                        }
                        if (nextFrame > reader.FrameCount - 10)
                        {
                            break;                                     //if the next frame to analyse is outside of the
                        }
                    }
                    else
                    {
                        reader.ReadVideoFrame().Dispose(); //reading and disposing of frames like this feels inefficient, but is more performant that putting the desired frame as a parameter
                    }
                }
                Console.WriteLine("Completed: " + videoPath);
            });
        }
Example #4
0
        public StatisticalBox CalculateAverageOpticFlow(BlackAndWhiteDoubleArray _firstFrame, BlackAndWhiteDoubleArray _secondFrame, long _boxSize)
        {
            //determine the size of the buffers on the outside of the frame and the number of iterations we need to go to

            firstFrame  = _firstFrame;
            secondFrame = _secondFrame;
            boxSize     = _boxSize;

            if (firstFrame.height % boxSize == 0)
            {
                topBuffer = boxSize / 2;
                Height    = firstFrame.height / boxSize - 1;
            }
            else
            {
                topBuffer = (firstFrame.height % boxSize) / 2;
                Height    = firstFrame.height / boxSize;
            }

            if (firstFrame.width % boxSize == 0)
            {
                leftBuffer = boxSize / 2;
                Width      = firstFrame.width / boxSize - 1;
            }
            else
            {
                leftBuffer = (firstFrame.width % boxSize) / 2;
                Width      = firstFrame.width / boxSize;
            }

            List <Tuple <int, int> > arrs = new List <Tuple <int, int> >();

            for (int h = 0; h < Height; h++)
            {
                for (int w = 0; w < Width; w++)
                {
                    arrs.Add(new Tuple <int, int>(h, w));
                }
            }

            ConcurrentBag <Vector2> opticFlow = new ConcurrentBag <Vector2>();

            OrderablePartitioner <Tuple <int, int> > op = Partitioner.Create(arrs, true);

            Parallel.ForEach(op,
                             x => opticFlow.Add(findOpticVector(x.Item1 * boxSize + topBuffer, x.Item2 * boxSize + leftBuffer)));

            return(new StatisticalBox(opticFlow.ToArray()));
        }
Example #5
0
        public StatisticalBox CalculateAverageOpticFlow(BlackAndWhiteDoubleArray _firstFrame, BlackAndWhiteDoubleArray _secondFrame, int _boxSize)
        {
            //determine the size of the buffers on the outside of the frame and the number of iterations we need to go to

            firstFrame  = _firstFrame;
            secondFrame = _secondFrame;
            boxSize     = _boxSize;

            if (firstFrame.height % boxSize == 0)
            {
                topBuffer = boxSize / 2;
                Height    = firstFrame.height / boxSize - 1;
            }
            else
            {
                topBuffer = (firstFrame.height % boxSize) / 2;
                Height    = firstFrame.height / boxSize;
            }

            if (firstFrame.width % boxSize == 0)
            {
                leftBuffer = boxSize / 2;
                Width      = firstFrame.width / boxSize - 1;
            }
            else
            {
                leftBuffer = (firstFrame.width % boxSize) / 2;
                Width      = firstFrame.width / boxSize;
            }
            opticflow = new Vector2[Height, Width];


            Parallel.For(0, Height, yit =>
                         Parallel.For(0, Width, xit =>
                                      opticflow[yit, xit] = findOpticVector(yit * boxSize + topBuffer, xit * boxSize + leftBuffer)
                                      )
                         );
            return(CalculateStatistics());
        }