Beispiel #1
0
        // DataFlow baseline. Similar CPU & throughput results, but memory keeps growing.
        public void RunDataFlowPipeline <T>(DeliveryPolicy policy, Func <int, T> create, Func <int, T, T> initialize, Func <T, T, T> increment, Func <T, T, T, T> add, Func <T, int> extract, bool validateNoLoss, bool validateSync)
        {
            int resultCount = 0;
            var dfo         = new DataflowLinkOptions();

            dfo.Append = true;
            List <object> saved = new List <object>();

            // create several parallel branches of components
            var branches = new ISourceBlock <Wrap <T> > [ParallelBranchCount];
            var sources  = new Time.TimerDelegate[SourceCount];

            for (int i = 0; i < SourceCount; i++)
            {
                // make a timer for each source
                var timerSeqId = 0;
                var timer      = new TransformBlock <int, int>(ts => timerSeqId++);
                sources[i] = new Time.TimerDelegate((uint timerID, uint msg, UIntPtr userCtx, UIntPtr dw1, UIntPtr dw2) => timer.Post(i));
                saved.Add(timer);

                // branch and generate data
                for (int k = 0; k < ParallelBranchMultiplier; k++)
                {
                    int b        = (i * ParallelBranchMultiplier) + k;
                    var initInst = new Wrap <T>(create(b), 0);
                    var init     = new TransformBlock <int, Wrap <T> >(seqId => initInst = new Wrap <T>(initialize(seqId, initInst.Inner), seqId).DeepClone());
                    timer.LinkTo(init, dfo);
                    branches[b] = init;
                    saved.Add(init);

                    // apply a sequence of transforms
                    for (int j = 0; j < TransformCount; j++)
                    {
                        var incInst = new Wrap <T>(create(b), 0);
                        var inc     = new TransformBlock <Wrap <T>, Wrap <T> >(src => incInst = new Wrap <T>(increment(incInst.Inner, src.Inner), src.ExpectedResult + 1).DeepClone());
                        branches[b].LinkTo(inc, dfo);
                        branches[b] = inc;
                        saved.Add(inc);
                    }

                    // make sure we didn't lose messages
                    // branches[b] = branches[b].DoT(m => CheckMessageId(m.SequenceId + TransformCount, m.Data.ExpectedResult, validateNoLoss), true, true);
                }
            }

            // join all
            var fullJoin = branches[0];

            for (int i = 1; i < ParallelBranchCount; i++)
            {
                var joinGo = new GroupingDataflowBlockOptions();
                joinGo.Greedy = false;
                var join = new JoinBlock <Wrap <T>, Wrap <T> >(joinGo);
                fullJoin.LinkTo(join.Target1, dfo);
                branches[i].LinkTo(join.Target2, dfo);
                var addInst = new Wrap <T>(create(i), 0);
                var select  = new TransformBlock <Tuple <Wrap <T>, Wrap <T> >, Wrap <T> >(tpl => addInst = new Wrap <T>(add(addInst.Inner, tpl.Item1.Inner, tpl.Item2.Inner), tpl.Item1.ExpectedResult + tpl.Item2.ExpectedResult).DeepClone());
                join.LinkTo(select, dfo);
                fullJoin = select;
                saved.Add(join);
                saved.Add(select);
            }

            // extract final result
            var result = new TransformBlock <Wrap <T>, Wrap <long> >(w => new Wrap <long>(extract(w.Inner), w.ExpectedResult));

            fullJoin.LinkTo(result, dfo);
            saved.Add(result);

            // validate result
            int actionSeqId = 0;
            var final       = new ActionBlock <Wrap <long> >(w =>
            {
                resultCount++;
                this.CheckMessageId(++actionSeqId, resultCount, validateNoLoss);
                if (w.Inner != w.ExpectedResult)
                {
                    throw new Exception("Unexpected computation result.");
                }
            });

            result.LinkTo(final, dfo);
            saved.Add(final);

            // run the pipeline
            for (int i = 0; i < SourceCount; i++)
            {
                Platform.Specific.TimerStart(1000 / this.frequency, sources[i]);
            }

            while (!final.Completion.Wait(1000))
            {
                Console.WriteLine(resultCount);
                if (sources.Length == 0)
                {
                    throw new Exception("This was here just to keeo source alive in release mode, why did it hit?");
                }
            }

            Console.WriteLine("Stopped");
            Assert.AreNotEqual(0, resultCount);
        }
Beispiel #2
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 /// <summary>
 /// The frame shift operator.
 /// </summary>
 /// <param name="source">A stream containing the input data.</param>
 /// <param name="frameSizeInBytes">The frame size in bytes.</param>
 /// <param name="frameShiftInBytes">The number of bytes by which to shift the data.</param>
 /// <param name="bytesPerSec">The sampling frequency in bytes per second.</param>
 /// <param name="deliveryPolicy">An optional delivery policy.</param>
 /// <returns>A stream containing the frame-shifted data.</returns>
 public static IProducer <byte[]> FrameShift(this IProducer <byte[]> source, int frameSizeInBytes, int frameShiftInBytes, double bytesPerSec, DeliveryPolicy deliveryPolicy = null)
 {
     return(source.PipeTo(new FrameShift(source.Out.Pipeline, frameSizeInBytes, frameShiftInBytes, bytesPerSec), deliveryPolicy));
 }
Beispiel #3
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        public void RunPipeline <T>(DeliveryPolicy policy, Func <int, T> create, Func <T, int, T> initialize, Func <T, T, T> increment, Func <T, T, T, T> add, Func <T, int> extract, bool validateNoLoss, bool validateSync)
        {
            int resultCount = 0;
            var p           = Pipeline.Create(nameof(FunctionalTests));

            Console.WriteLine($"Running {ParallelBranchCount} branches and {TransformCount} transforms at {this.frequency}Hz");

            // create several parallel branches of components
            var branches = new IProducer <Wrap <T> > [ParallelBranchCount];

            for (int i = 0; i < SourceCount; i++)
            {
                // make a timer for each source
                var timer = Generators.Timer(p, TimeSpan.FromMilliseconds(1000 / this.frequency)).Select((d, e) => e.SequenceId);

                // branch and generate data
                for (int k = 0; k < ParallelBranchMultiplier; k++)
                {
                    int b = (i * ParallelBranchMultiplier) + k;

                    branches[b] = timer.Aggregate(new Wrap <T>(create(b), 0), (tgt, seqId) => new Wrap <T>(initialize(tgt.Inner, seqId), seqId));

                    // apply a sequence of transforms
                    for (int j = 0; j < TransformCount; j++)
                    {
                        branches[b] = branches[b].Aggregate(new Wrap <T>(create(b), 0), (tgt, src) => new Wrap <T>(increment(tgt.Inner, src.Inner), src.ExpectedResult + 1));
                    }

                    // make sure we didn't lose messages
                    branches[b] = branches[b].Do((d, e) => this.CheckMessageId(e.SequenceId + TransformCount, d.ExpectedResult, validateNoLoss));
                }
            }

            // join all
            var fullJoin = branches[0];

            for (int i = 1; i < ParallelBranchCount; i++)
            {
                var join = fullJoin.Join(branches[i], TimeSpan.MaxValue);
                fullJoin = join.Aggregate(new Wrap <T>(create(i), 0), (tgt, tpl) => new Wrap <T>(add(tgt.Inner, tpl.Item1.Inner, tpl.Item2.Inner), tpl.Item1.ExpectedResult + tpl.Item2.ExpectedResult));
            }

            // extract final result
            var result = fullJoin.Select(w => new Wrap <long>(extract(w.Inner), w.ExpectedResult));

            // validate result
            var final = result.Do((d, e) =>
            {
                resultCount++;
                this.CheckMessageId(e.SequenceId, resultCount, validateNoLoss);
                if (d.Inner != d.ExpectedResult)
                {
                    throw new Exception("Unexpected computation result.");
                }
            });

            // run the pipeline
            using (p)
            {
                var now = Time.GetCurrentTime();
                p.RunAsync(new ReplayDescriptor(now, now + this.duration));
                while (!p.WaitAll(1000))
                {
                    Console.WriteLine(resultCount);
                }
            }

            Console.WriteLine(resultCount);
            Assert.AreNotEqual(0, resultCount);
        }
Beispiel #4
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        /// <summary>
        /// Creates a gzipped byte array of the depth image.
        /// </summary>
        /// <param name="depthImage">Depth image to compress.</param>
        /// <param name="deliveryPolicy">An optional delivery policy.</param>
        /// <returns>Byte array containing the compressed depth map.</returns>
        public static IProducer <byte[]> GZipCompressDepthImage(this IProducer <Shared <Image> > depthImage, DeliveryPolicy deliveryPolicy = null)
        {
            var memoryStream   = new MemoryStream();
            var memoryStreamLo = new MemoryStream();
            var memoryStreamHi = new MemoryStream();

            byte[] buffer = null;
            return(depthImage.Select(
                       image =>
            {
                if (buffer == null)
                {
                    buffer = new byte[image.Resource.Size];
                }

                image.Resource.CopyTo(buffer);
                memoryStream.Seek(0, SeekOrigin.Begin);
                using (var compressedStream = new GZipStream(memoryStream, CompressionLevel.Optimal, true))
                {
                    compressedStream.Write(buffer, 0, buffer.Length);
                }

                var output = new byte[memoryStream.Position];
                memoryStream.Seek(0, SeekOrigin.Begin);
                memoryStream.Read(output, 0, output.Length);
                return output;
            }, deliveryPolicy));
        }
Beispiel #5
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 /// <summary>
 /// Converts the source image to a different pixel format.
 /// </summary>
 /// <param name="source">The source stream.</param>
 /// <param name="pixelFormat">The pixel format to convert to.</param>
 /// <param name="deliveryPolicy">An optional delivery policy.</param>
 /// <returns>The resulting stream.</returns>
 public static IProducer <Shared <Image> > Convert(this IProducer <Shared <Image> > source, PixelFormat pixelFormat, DeliveryPolicy deliveryPolicy = null)
 {
     return(source.PipeTo(new ToPixelFormat(source.Out.Pipeline, pixelFormat), deliveryPolicy));
 }
Beispiel #6
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 /// <summary>
 /// Converts a stream of depth images into a stream of <see cref="PixelFormat.Gray_16bpp"/> format images.
 /// </summary>
 /// <param name="source">A producer of depth images.</param>
 /// <param name="deliveryPolicy">An optional delivery policy.</param>
 /// <param name="sharedDepthImageAllocator ">Optional image allocator for creating new shared depth image.</param>
 /// <returns>A corresponding stream of images.</returns>
 public static IProducer <Shared <Image> > ToImage(this IProducer <Shared <DepthImage> > source, DeliveryPolicy <Shared <DepthImage> > deliveryPolicy = null, Func <int, int, Shared <Image> > sharedDepthImageAllocator = null)
 {
     sharedDepthImageAllocator ??= (width, height) => ImagePool.GetOrCreate(width, height, PixelFormat.Gray_16bpp);
     return(source.Process <Shared <DepthImage>, Shared <Image> >(
                (sharedDepthImage, envelope, emitter) =>
     {
         using var sharedImage = sharedDepthImageAllocator(sharedDepthImage.Resource.Width, sharedDepthImage.Resource.Height);
         sharedImage.Resource.CopyFrom(sharedDepthImage.Resource);
         emitter.Post(sharedImage, envelope.OriginatingTime);
     },
                deliveryPolicy));
 }
Beispiel #7
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 /// <summary>
 /// Converts a shared image to a different pixel format using the specified transformer.
 /// </summary>
 /// <param name="source">Source image to compress.</param>
 /// <param name="transformer">Method for converting an image sample.</param>
 /// <param name="pixelFormat">Pixel format to use for converted image.</param>
 /// <param name="deliveryPolicy">An optional delivery policy.</param>
 /// <param name="sharedImageAllocator">Optional image allocator for creating new shared image.</param>
 /// <returns>Returns a producer that generates the transformed images.</returns>
 public static IProducer <Shared <Image> > Transform(this IProducer <Shared <Image> > source, TransformDelegate transformer, PixelFormat pixelFormat, DeliveryPolicy <Shared <Image> > deliveryPolicy = null, Func <int, int, PixelFormat, Shared <Image> > sharedImageAllocator = null)
 {
     return(source.PipeTo(new ImageTransformer(source.Out.Pipeline, transformer, pixelFormat, sharedImageAllocator), deliveryPolicy));
 }
Beispiel #8
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 /// <summary>
 /// Returns the position of a given joint in the body.
 /// </summary>
 /// <param name="source">The stream of kinect body.</param>
 /// <param name="jointType">The type of joint.</param>
 /// <param name="deliveryPolicy">An optional delivery policy.</param>
 /// <returns>The joint position as a 3D point in Kinect camera space.</returns>
 public static IProducer <Point3D> GetJointPosition(this IProducer <KinectBody> source, JointType jointType, DeliveryPolicy deliveryPolicy = null)
 {
     return(source.Select(kb => kb.Joints[jointType].Position.ToPoint3D(), deliveryPolicy));
 }
Beispiel #9
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        /// <summary>
        /// Here we define an Psi extension. This extension will take a stream of images (source)
        /// and create a new stream of converted images.
        /// </summary>
        /// <param name="source">Our source producer (source stream of image samples)</param>
        /// <param name="deliveryPolicy">Our delivery policy (null means use the default)</param>
        /// <returns>The new stream of converted images.</returns>
        public static IProducer <Shared <Image> > ToGrayViaOpenCV(this IProducer <Shared <Image> > source, DeliveryPolicy deliveryPolicy = null)
        {
            // Process informs the pipeline that we want to call our lambda ("(srcImage, env, e) =>{...}") with each image
            // from the stream.
            return(source.Process <Shared <Image>, Shared <Image> >(
                       (srcImage, env, e) =>
            {
                // Our lambda here is called with each image sample from our stream and calls OpenCV to convert
                // the image into a grayscale image. We then post the resulting gray scale image to our event queu
                // so that the Psi pipeline will send it to the next component.

                // Have Psi allocate a new image. We will convert the current image ('srcImage') into this new image.
                using (var destImage = ImagePool.GetOrCreate(srcImage.Resource.Width, srcImage.Resource.Height, PixelFormat.Gray_8bpp))
                {
                    // Call into our OpenCV wrapper to convert the source image ('srcImage') into the newly created image ('destImage')
                    // Note: since srcImage & destImage are Shared<> we need to access the Microsoft.Psi.Imaging.Image data via the Resource member
                    OpenCVMethods.ToGray(srcImage.ToImageBuffer(), destImage.ToImageBuffer());
                    e.Post(destImage, env.OriginatingTime);
                }
            }, deliveryPolicy));
        }
Beispiel #10
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 /// <summary>
 /// Resamples an audio stream.
 /// </summary>
 /// <param name="source">A stream of audio to be resampled.</param>
 /// <param name="configuration">The resampler configuration.</param>
 /// <param name="deliveryPolicy">An optional delivery policy.</param>
 /// <returns>A stream of resampled audio.</returns>
 public static IProducer <AudioBuffer> Resample(this IProducer <AudioBuffer> source, AudioResamplerConfiguration configuration, DeliveryPolicy deliveryPolicy = null)
 {
     return(source.PipeTo(new AudioResampler(source.Out.Pipeline, configuration), deliveryPolicy));
 }
Beispiel #11
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 /// <summary>
 /// Resamples an audio stream.
 /// </summary>
 /// <param name="source">A stream audio to be resampled.</param>
 /// <param name="outputFormat">The desired audio output format for the resampled stream.</param>
 /// <param name="deliveryPolicy">An optional delivery policy.</param>
 /// <returns>A stream of resampled audio.</returns>
 public static IProducer <AudioBuffer> Resample(this IProducer <AudioBuffer> source, WaveFormat outputFormat, DeliveryPolicy deliveryPolicy = null)
 {
     return(Resample(source, new AudioResamplerConfiguration()
     {
         OutputFormat = outputFormat
     }, deliveryPolicy));
 }
Beispiel #12
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        /// <summary>
        /// Performs object detection on a stream of images via the <a href="https://azure.microsoft.com/en-us/services/cognitive-services/computer-vision/">Microsoft Cognitive Services Vision API.</a>.
        /// </summary>
        /// <param name="source">The source stream of images.</param>
        /// <param name="subscriptionKey">The Azure subscription key to use.</param>
        /// <param name="region">The region for the Azure subscription.</param>
        /// <param name="deliveryPolicy">An optional delivery policy.</param>
        /// <returns>A stream of detected objects for each image.</returns>
        /// <remarks>
        /// A <a href="https://azure.microsoft.com/en-us/services/cognitive-services/computer-vision/">Microsoft Cognitive Services Vision API</a>
        /// subscription key is required to use this operator. For more information, see the full direct API for.
        /// <a href="https://azure.microsoft.com/en-us/services/cognitive-services/computer-vision/">Microsoft Cognitive Services Vision API</a>
        /// </remarks>
        public static IProducer <IList <DetectedObject> > DetectObjects(this IProducer <Shared <Imaging.Image> > source, string subscriptionKey, string region, DeliveryPolicy deliveryPolicy = null)
        {
            var imageAnalyzer = new ImageAnalyzer(source.Out.Pipeline, new ImageAnalyzerConfiguration(subscriptionKey, region, VisualFeatureTypes.Objects));

            source.PipeTo(imageAnalyzer.In, deliveryPolicy);
            return(imageAnalyzer.Out.Select(ia => ia?.Objects));
        }
Beispiel #13
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        /// <summary>
        /// Applies dithering to input sample values.
        /// </summary>
        /// <param name="source">A stream of floating point input sample values.</param>
        /// <param name="scaleFactor">The scale factor of the dither.</param>
        /// <param name="randomSeed">An initial random seed value.</param>
        /// <param name="deliveryPolicy">An optional delivery policy.</param>
        /// <returns>A stream of floating point sample values with dithering.</returns>
        public static IProducer <float[]> Dither(this IProducer <float[]> source, float scaleFactor, int randomSeed = 0, DeliveryPolicy deliveryPolicy = null)
        {
            float[] dithered = null;
            Random  random   = new Random(randomSeed);

            return(source.Select(
                       values =>
            {
                if (dithered == null || dithered.Length != values.Length)
                {
                    dithered = new float[values.Length];
                }

                for (int i = 0; i < values.Length; ++i)
                {
                    dithered[i] = values[i] + (((((float)random.Next() / (float)int.MaxValue) * 2.0f) - 1.0f) * scaleFactor);
                }

                return dithered;
            },
                       deliveryPolicy));
        }
Beispiel #14
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 /// <summary>
 /// Converts a stream of audio data to a stream of floating point values.
 /// </summary>
 /// <param name="source">A stream containing the input audio data.</param>
 /// <param name="format">The audio format of the input audio.</param>
 /// <param name="deliveryPolicy">An optional delivery policy.</param>
 /// <returns>A stream of floating point audio sample values.</returns>
 public static IProducer <float[]> ToFloat(this IProducer <byte[]> source, WaveFormat format, DeliveryPolicy deliveryPolicy = null)
 {
     return(source.PipeTo(new ToFloat(source.Out.Pipeline, format), deliveryPolicy));
 }
Beispiel #15
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        /// <summary>
        /// Performs face recognition over a stream of images via <a href="https://azure.microsoft.com/en-us/services/cognitive-services/face/">Microsoft Cognitive Services Face API</a>.
        /// </summary>
        /// <param name="source">The source stream of images.</param>
        /// <param name="configuration">The face recognizer configuration.</param>
        /// <param name="deliveryPolicy">An optional delivery policy.</param>
        /// <returns>A stream of messages containing a dictionary that represents the set of identity alternates and their corresponding scores.</returns>
        /// <remarks>
        /// A <a href="https://azure.microsoft.com/en-us/services/cognitive-services/face/">Microsoft Cognitive Services Face API</a>
        /// subscription key is required to use this operators. In addition, a person group needs to be created ahead of time, and the id of the person group
        /// passed to the operator via the configuration. For more information, and to see how to create person groups, see the full direct API for
        /// <a href="https://azure.microsoft.com/en-us/services/cognitive-services/face/">Microsoft Cognitive Services Face API</a>
        /// </remarks>
        public static IProducer <Dictionary <string, double> > RecognizeFace(this IProducer <Shared <Imaging.Image> > source, FaceRecognizerConfiguration configuration, DeliveryPolicy deliveryPolicy = null)
        {
            var faceRecognizer = new FaceRecognizer(source.Out.Pipeline, configuration);

            source.PipeTo(faceRecognizer, deliveryPolicy);
            return(faceRecognizer.Out);
        }
Beispiel #16
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 /// <summary>
 /// Writes the specified stream to a multi-stream JSON store.
 /// </summary>
 /// <typeparam name="TIn">The type of messages in the stream</typeparam>
 /// <param name="source">The source stream to write</param>
 /// <param name="name">The name of the persisted stream.</param>
 /// <param name="writer">The store writer, created by e.g. <see cref="Create(Pipeline, string, string, bool)"/></param>
 /// <param name="deliveryPolicy">An optional delivery policy.</param>
 /// <returns>The input stream</returns>
 public static IProducer <TIn> Write <TIn>(this IProducer <TIn> source, string name, JsonExporter writer, DeliveryPolicy deliveryPolicy = null)
 {
     writer.Write(source.Out, name, deliveryPolicy);
     return(source);
 }
Beispiel #17
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        /// <summary>
        /// Writes the specified stream to this multi-stream store.
        /// </summary>
        /// <param name="source">The source stream to write</param>
        /// <param name="metadata">The stream metadata of the stream.</param>
        /// <param name="policy">An optional delivery policy</param>
        internal void Write(Emitter <Message <JToken> > source, JsonStreamMetadata metadata, DeliveryPolicy policy = null)
        {
            var mergeInput = this.merger.Add(metadata.Name); // this checks for duplicates

            this.writer.OpenStream(metadata);
            Operators.PipeTo(source, mergeInput, policy);
        }
Beispiel #18
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 /// <summary>
 /// Operator converts from an Image to a compressed (encoded) image
 /// </summary>
 /// <param name="source">Source image to encode</param>
 /// <param name="encoderFn">Method to perform encoding</param>
 /// <param name="deliveryPolicy">Delivery policy</param>
 /// <returns>Returns a producer that generates the encoded images</returns>
 public static IProducer <Shared <EncodedImage> > Encode(this IProducer <Shared <Image> > source, Func <BitmapEncoder> encoderFn, DeliveryPolicy deliveryPolicy = null)
 {
     return(source.PipeTo(new ImageEncoder(source.Out.Pipeline, encoderFn), deliveryPolicy));
 }
Beispiel #19
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 /// <summary>
 /// Converts the source image to a different pixel format.
 /// </summary>
 /// <param name="source">The source stream.</param>
 /// <param name="pixelFormat">The pixel format to convert to.</param>
 /// <param name="deliveryPolicy">An optional delivery policy.</param>
 /// <param name="sharedImageAllocator">Optional image allocator for creating new shared image.</param>
 /// <returns>The resulting stream.</returns>
 public static IProducer <Shared <Image> > ToPixelFormat(this IProducer <Shared <Image> > source, PixelFormat pixelFormat, DeliveryPolicy <Shared <Image> > deliveryPolicy = null, Func <int, int, PixelFormat, Shared <Image> > sharedImageAllocator = null)
 {
     return(source.PipeTo(new ToPixelFormat(source.Out.Pipeline, pixelFormat, sharedImageAllocator), deliveryPolicy));
 }
Beispiel #20
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 /// <summary>
 /// Operator converts from an Image to a compressed JPEG image
 /// </summary>
 /// <param name="source">Source image to compress</param>
 /// <param name="quality">JPEG quality to use</param>
 /// <param name="deliveryPolicy">Delivery policy</param>
 /// <returns>Returns a producer that generates the JPEG images</returns>
 public static IProducer <Shared <EncodedImage> > EncodeJpeg(this IProducer <Shared <Image> > source, int quality = 90, DeliveryPolicy deliveryPolicy = null)
 {
     return(Encode(source, () => new JpegBitmapEncoder {
         QualityLevel = quality
     }, deliveryPolicy));
 }
Beispiel #21
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 /// <summary>
 /// Simple producer for converting from depth map to colored version of depth map.
 /// </summary>
 /// <param name="depthImage">Depth image to convert.</param>
 /// <param name="deliveryPolicy">An optional delivery policy.</param>
 /// <returns>Returns colored representation of the depth map.</returns>
 public static IProducer <Shared <Image> > ToColor(this IProducer <Shared <Image> > depthImage, DeliveryPolicy deliveryPolicy = null)
 {
     return(depthImage.PipeTo(new DepthToColorConverter(depthImage.Out.Pipeline), deliveryPolicy));
 }
Beispiel #22
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 /// <summary>
 /// Operator converts from an Image to a compressed PNG image
 /// </summary>
 /// <param name="source">Source image to compress</param>
 /// <param name="deliveryPolicy">Delivery policy</param>
 /// <returns>Returns a producer that generates the PNG images</returns>
 public static IProducer <Shared <EncodedImage> > EncodePng(this IProducer <Shared <Image> > source, DeliveryPolicy deliveryPolicy = null)
 {
     return(Encode(source, () => new PngBitmapEncoder(), deliveryPolicy));
 }
Beispiel #23
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        /// <summary>
        /// Uncompressed a depth map that was previously compressed with GZip.
        /// </summary>
        /// <param name="compressedDepthBytes">Byte array of compressed depth values.</param>
        /// <param name="deliveryPolicy">An optional delivery policy.</param>
        /// <returns>Uncompressed depth map as an image.</returns>
        public static IProducer <Shared <Image> > GZipUncompressDepthImage(this IProducer <byte[]> compressedDepthBytes, DeliveryPolicy deliveryPolicy = null)
        {
            var buffer = new byte[424 * 512 * 2];

            return(compressedDepthBytes.Select(
                       bytes =>
            {
                using (var compressedStream = new GZipStream(new MemoryStream(bytes), CompressionMode.Decompress))
                {
                    compressedStream.Read(buffer, 0, buffer.Length);
                }

                var psiImage = ImagePool.GetOrCreate(512, 424, PixelFormat.Gray_16bpp);
                psiImage.Resource.CopyFrom(buffer);
                return psiImage;
            }, deliveryPolicy));
        }
Beispiel #24
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 /// <summary>
 /// Operator decodes a sample that was previously encoded
 /// </summary>
 /// <param name="source">Source image to compress</param>
 /// <param name="deliveryPolicy">Delivery policy</param>
 /// <returns>Returns a producer that generates the decoded images</returns>
 public static IProducer <Shared <Image> > Decode(this IProducer <Shared <EncodedImage> > source, DeliveryPolicy deliveryPolicy = null)
 {
     return(source.PipeTo(new ImageDecoder(source.Out.Pipeline), deliveryPolicy));
 }
Beispiel #25
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 /// <summary>
 /// Converts an image to a different pixel format using the specified transformer.
 /// </summary>
 /// <param name="source">Source image to compress.</param>
 /// <param name="transformer">Method for converting an image sample.</param>
 /// <param name="pixelFormat">Pixel format to use for converted image.</param>
 /// <param name="deliveryPolicy">An optional delivery policy.</param>
 /// <returns>Returns a producer that generates the transformed images.</returns>
 public static IProducer <Shared <Image> > Transform(this IProducer <Shared <Image> > source, TransformDelegate transformer, PixelFormat pixelFormat, DeliveryPolicy deliveryPolicy = null)
 {
     return(source.PipeTo(new ImageTransformer(source.Out.Pipeline, transformer, pixelFormat), deliveryPolicy));
 }
Beispiel #26
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 /// <summary>
 /// Transforms a stream of byte arrays containing raw audio to an <see cref="AudioBuffer"/> stream.
 /// </summary>
 /// <param name="source">A stream of raw audio byte arrays.</param>
 /// <param name="audioFormat">The audio format of the raw audio contained within the byte arrays.</param>
 /// /// <param name="deliveryPolicy">An optional delivery policy.</param>
 /// <returns>A stream of audio buffers.</returns>
 public static IProducer <AudioBuffer> ToAudioBuffer(this IProducer <byte[]> source, WaveFormat audioFormat, DeliveryPolicy deliveryPolicy = null)
 {
     return(source.Select(x => new AudioBuffer(x, audioFormat), deliveryPolicy));
 }