public void ArtifactOverlay()
{
Frame testFrame = new Frame(new YuvKA.VideoModel.Size(80, 80));
for (int x = 0; x < testFrame.Size.Width; x++)
{
for (int y = 0; y < testFrame.Size.Height; y++)
{
testFrame[x, y] = new Rgb(111, 111, 111);
}
}
Frame alteredTestFrame = new Frame(testFrame.Size);
for (int x = 0; x < testFrame.Size.Width; x++)
{
for (int y = 0; y < testFrame.Size.Height; y++)
{
alteredTestFrame[x, y] = new Rgb((byte)(x + y), (byte)(x + y), (byte)(x + y));
}
}
Frame[] input = { alteredTestFrame, testFrame };
OverlayNode node = new OverlayNode {
Type = new ArtifactsOverlay()
};
node.ProcessCore(input, 0);
List <Frame> output = new List <Frame>();
output.Add(node.Data);
YuvEncoder.Encode(@"..\..\..\..\output\ArtifactOverlayTest_80x80.yuv", output);
}
public void TestVecorOverlay()
{
Frame testFrame = new Frame(new YuvKA.VideoModel.Size(64, 48));
for (int x = 0; x < testFrame.Size.Width; x++)
{
for (int y = 0; y < testFrame.Size.Height; y++)
{
testFrame[x, y] = new Rgb(111, 111, 111);
}
}
MacroblockDecision[] decisions = new MacroblockDecision[12];
decisions[0] = new MacroblockDecision {
Movement = new Vector(0.0, 12.0)
};
decisions[1] = new MacroblockDecision {
Movement = new Vector(12.0, 12.0)
};
decisions[2] = new MacroblockDecision {
Movement = new Vector(12.0, 0.0)
};
decisions[3] = new MacroblockDecision {
Movement = new Vector(12.0, -12.0)
};
decisions[4] = new MacroblockDecision {
Movement = new Vector(3.0, -12.0)
};
decisions[5] = new MacroblockDecision {
Movement = new Vector(-38.0, -15.0)
};
decisions[6] = new MacroblockDecision {
Movement = new Vector(-120.0, 0.0)
};
decisions[7] = new MacroblockDecision {
Movement = new Vector(-20.0, 20.0)
};
decisions[8] = new MacroblockDecision {
Movement = new Vector(4.0, 0.0)
};
decisions[9] = new MacroblockDecision {
Movement = new Vector(0.0, 4.0)
};
decisions[10] = new MacroblockDecision {
Movement = new Vector(4.0, 4.0)
};
decisions[11] = new MacroblockDecision {
Movement = new Vector(-4.0, 0.0)
};
Frame[] input = { new AnnotatedFrame(testFrame, decisions) };
OverlayNode node = new OverlayNode {
Type = new MoveVectorsOverlay()
};
node.ProcessCore(input, 0);
List <Frame> output = new List <Frame>();
output.Add(node.Data);
YuvEncoder.Encode(@"..\..\..\..\output\VectorOverlayTest_64x48.yuv", output);
}
public void TestYuvEncoder()
{
int width = 352;
int height = 240;
string fileName = "..\\..\\..\\..\\resources\\americanFootball_352x240_125.yuv"; // be sure to adjust this beforehand
string saveName = "..\\..\\..\\..\\output\\yuvencoder-output_352x240_125.yuv"; // warning, depending on the file, this produces a lot of images
YuvEncoder.Video video = new YuvEncoder.Video(new YuvKA.VideoModel.Size(width, height), fileName, null, null);
IEnumerable <Frame> frameList = Enumerable.Range(0, video.FrameCount).Select(i => video[i]);
YuvEncoder.Encode(saveName, frameList);
}
public SaveNodeOutputViewModel(Node.Output output, Stream stream, PipelineState model)
{
this.model = model;
IEnumerable <Frame> frames = model.Driver.RenderTicks(new[] { output.Node }, 0, TickCount, cts.Token)
.Do(_ => { CurrentTick++; NotifyOfPropertyChange(() => CurrentTick); })
.Select(dic => dic[output])
.ToEnumerable();
Task.Factory.StartNew(() => {
using (stream)
YuvEncoder.Encode(stream, frames);
TryClose();
});
}
public void ViewlessPipeline()
{
var input = new VideoInputNode {
FileName = new FilePath(@"..\..\..\..\resources\americanFootball_352x240_125.yuv")
};
Node graph = new BrightnessContrastSaturationNode {
Contrast = 10
}; //new BlurNode { Radius = 3 };
graph.Inputs[0].Source = input.Outputs[0];
IObservable <Frame> frames = new PipelineDriver().RenderTicks(new[] { graph }, tickCount: input.TickCount)
.Select(dic => dic[graph.Outputs[0]]);
YuvEncoder.Encode(
@"..\..\..\..\output\ViewlessPipeline_sif.yuv",
frames.ToEnumerable()
);
}
public void TestMacroBlockOverlay()
{
Frame testFrame = new Frame(new YuvKA.VideoModel.Size(64, 64));
for (int x = 0; x < testFrame.Size.Width; x++)
{
for (int y = 0; y < testFrame.Size.Height; y++)
{
testFrame[x, y] = new Rgb(111, 111, 111);
}
}
MacroblockDecision[] decisions = new MacroblockDecision[16];
decisions[0] = new MacroblockDecision {
PartitioningDecision = MacroblockPartitioning.InterSkip
};
decisions[1] = new MacroblockDecision {
PartitioningDecision = MacroblockPartitioning.Inter16x16
};
decisions[2] = new MacroblockDecision {
PartitioningDecision = MacroblockPartitioning.Inter16x8
};
decisions[3] = new MacroblockDecision {
PartitioningDecision = MacroblockPartitioning.Inter8x16
};
decisions[4] = new MacroblockDecision {
PartitioningDecision = MacroblockPartitioning.Inter8x8
};
decisions[5] = new MacroblockDecision {
PartitioningDecision = MacroblockPartitioning.Inter4x8
};
decisions[6] = new MacroblockDecision {
PartitioningDecision = MacroblockPartitioning.Inter8x4
};
decisions[7] = new MacroblockDecision {
PartitioningDecision = MacroblockPartitioning.Inter4x4
};
decisions[8] = new MacroblockDecision {
PartitioningDecision = MacroblockPartitioning.Intra16x16
};
decisions[9] = new MacroblockDecision {
PartitioningDecision = MacroblockPartitioning.Intra8x8
};
decisions[10] = new MacroblockDecision {
PartitioningDecision = MacroblockPartitioning.Intra4x4
};
decisions[11] = new MacroblockDecision {
PartitioningDecision = MacroblockPartitioning.Unknown
};
decisions[12] = new MacroblockDecision {
PartitioningDecision = MacroblockPartitioning.Inter8x8OrBelow
};
decisions[13] = new MacroblockDecision {
PartitioningDecision = MacroblockPartitioning.IntraPCM
};
decisions[14] = new MacroblockDecision {
PartitioningDecision = null
};
decisions[15] = new MacroblockDecision {
PartitioningDecision = MacroblockPartitioning.Unknown
};
Frame[] input = { new AnnotatedFrame(testFrame, decisions) };
OverlayNode node = new OverlayNode {
Type = new BlocksOverlay()
};
node.ProcessCore(input, 0);
List <Frame> output = new List <Frame>();
output.Add(node.Data);
YuvEncoder.Encode(@"..\..\..\..\output\BlockOverlayTest_64x64.yuv", output);
}