private void OnLoadNet()
{
darknetParamet.bLoad = 1;
darknetParamet.confile = Path.GetFullPath(Path.Combine(Application.dataPath, "../../ThirdParty/yolov3-tiny-test.cfg"));
darknetParamet.weightfile = Path.GetFullPath(Path.Combine(Application.dataPath, "../../ThirdParty/yolov3-tiny_745000.weights"));
darknetParamet.thresh = 0.3f;
darknetParamet.nms = 0.3f;
darknetParamet.bDraw = 1;
darknetParamet.drawColor = OeipHelper.getColor(1.0f, 0.1f, 0.1f, 0.8f);
Loom.RunAsync(() =>
{
cameraView.VideoPipe.UpdateDarknetParamet(ref darknetParamet);
});
}
// Start is called before the first frame update
void Start()
{
setting = SettingManager.Instance.Setting;
OeipManager.Instance.OnLogEvent += Instance_OnLogEvent;
//绑定Camera UI
objBindCamera.Bind(setting.cameraSetting, cameraSelectPanel);
objBindCamera.GetComponent <DropdownComponent>("CameraIndex").SetFillOptions(true, OeipManagerU3D.Instance.GetCameras);
objBindCamera.GetComponent <DropdownComponent>("FormatIndex").SetFillOptions(true, OeipManagerU3D.Instance.GetFormats);
objBindCamera.OnChangeEvent += ObjBindCamera_OnChangeEvent;
//cameraView管线返回设置
cameraView.VideoPipe.Pipe.OnProcessEvent += Pipe_OnProcessEvent;
//绑定GrabCut设置
objBindGrabcut.Bind(setting.videoParamet, grabCutPanel);
cameraView.VideoPipe.UpdateVideoParamet(setting.videoParamet);
objBindGrabcut.OnChangeEvent += ObjBindGrabcut_OnChangeEvent;
//加载神经网络
btnLoadNet.onClick.AddListener(() =>
{
Loom.RunAsync(() =>
{
darknetParamet.bLoad = 1;
darknetParamet.confile = Path.GetFullPath(Path.Combine(Application.dataPath, "../../ThirdParty/yolov3-tiny-test.cfg"));
darknetParamet.weightfile = Path.GetFullPath(Path.Combine(Application.dataPath, "../../ThirdParty/yolov3-tiny_745000.weights"));
darknetParamet.thresh = 0.3f;
darknetParamet.nms = 0.3f;
darknetParamet.bDraw = 1;
darknetParamet.drawColor = OeipHelper.getColor(1.0f, 0.1f, 0.1f, 0.8f);
cameraView.VideoPipe.UpdateDarknetParamet(ref darknetParamet);
});
});
//Grabcut 扣像
btnGrabcut.onClick.AddListener(() =>
{
Loom.RunAsync(() =>
{
bDrawMode = !bDrawMode;
OeipRect rect = new OeipRect();
if (personBox != null && personBox.Length > 0)
{
rect = personBox[0].rect;
}
cameraView.VideoPipe.ChangeGrabcutMode(bDrawMode, ref rect);
});
});
}
public OeipVideoPipe(OeipPipe pipe)
{
this.Pipe = pipe;
//添加输入层
InputIndex = pipe.AddLayer("input", OeipLayerType.OEIP_INPUT_LAYER);
//如果输入格式是YUV
Yuv2Rgba = pipe.AddLayer("yuv2rgba", OeipLayerType.OEIP_YUV2RGBA_LAYER);
//如果输入格式是BGR
MapChannel = pipe.AddLayer("map channel", OeipLayerType.OEIP_MAPCHANNEL_LAYER);
//mapChannel与yuv2rgba同级
pipe.ConnectLayer(MapChannel, InputIndex);
//经过大小变化
//ResizeIndex = pipe.AddLayer("resize", OeipLayerType.OEIP_RESIZE_LAYER);
//ResizeParamet rp = new ResizeParamet();
//rp.width = 1920;
//rp.height = 1080;
//pipe.UpdateParamet(ResizeIndex, rp);
//如果显示格式要求BRG
OutMap = pipe.AddLayer("out map channel", OeipLayerType.OEIP_MAPCHANNEL_LAYER);
//输出层
OutIndex = pipe.AddLayer("out put", OeipLayerType.OEIP_OUTPUT_LAYER);
SetOutput(IsGpu, IsCpu);
OutputParamet outputParamet = new OutputParamet();
//输出YUV格式，为了推出流
Rgba2Yuv = pipe.AddLayer("rgba2yuv", OeipLayerType.OEIP_RGBA2YUV_LAYER);
RGBA2YUVParamet yuvParamet = new RGBA2YUVParamet();
yuvParamet.yuvType = YUVFMT;
Pipe.UpdateParamet(Rgba2Yuv, yuvParamet);
//输出第二个流,YUV流,用于推送数据
pipe.ConnectLayer(Rgba2Yuv, OutMap);
OutYuvIndex = pipe.AddLayer("out put yuv", OeipLayerType.OEIP_OUTPUT_LAYER);
outputParamet.bGpu = 0;
outputParamet.bCpu = 1;
Pipe.UpdateParamet(OutYuvIndex, outputParamet);
InputParamet input = new InputParamet();
input.bCpu = 1;
input.bGpu = 0;
Pipe.UpdateParamet(InputIndex, input);
if (pipe.GpgpuType == OeipGpgpuType.OEIP_DX11)
{
int yuv2rgba2 = pipe.AddLayer("yuv2rgba 2", OeipLayerType.OEIP_YUV2RGBA_LAYER);
YUV2RGBAParamet yparamet = new YUV2RGBAParamet();
yparamet.yuvType = YUVFMT;
Pipe.UpdateParamet(yuv2rgba2, yparamet);
MattingOutIndex = pipe.AddLayer("matting out put", OeipLayerType.OEIP_OUTPUT_LAYER);
outputParamet.bGpu = 1;
outputParamet.bCpu = 0;
Pipe.UpdateParamet(MattingOutIndex, outputParamet);
}
if (pipe.GpgpuType == OeipGpgpuType.OEIP_CUDA)
{
//神经网络层
DarknetIndex = pipe.AddLayer("darknet", OeipLayerType.OEIP_DARKNET_LAYER);
pipe.ConnectLayer(DarknetIndex, OutMap);
darknetParamet.bLoad = 1;
darknetParamet.confile = "../../ThirdParty/yolov3-tiny-test.cfg";
darknetParamet.weightfile = "../../ThirdParty/yolov3-tiny_745000.weights";
darknetParamet.thresh = 0.3f;
darknetParamet.nms = 0.3f;
darknetParamet.bDraw = 1;
darknetParamet.drawColor = OeipHelper.getColor(0.1f, 1.0f, 0.1f, 0.1f);
Pipe.UpdateParametStruct(DarknetIndex, darknetParamet);
//Grab cut扣像层
GrabcutIndex = pipe.AddLayer("grab cut", OeipLayerType.OEIP_GRABCUT_LAYER);
grabcutParamet.bDrawSeed = 0;
grabcutParamet.iterCount = 1;
grabcutParamet.seedCount = 1000;
grabcutParamet.count = 250;
grabcutParamet.gamma = 90.0f;
grabcutParamet.lambda = 450.0f;
grabcutParamet.rect = new OeipRect();
Pipe.UpdateParamet(GrabcutIndex, grabcutParamet);
//GuiderFilter
GuiderFilterIndex = pipe.AddLayer("guider filter", OeipLayerType.OEIP_GUIDEDFILTER_LAYER);
guidedFilterParamet.zoom = 8;
guidedFilterParamet.softness = 5;
guidedFilterParamet.eps = 0.000001f;
guidedFilterParamet.intensity = 0.2f;
Pipe.UpdateParamet(GuiderFilterIndex, guidedFilterParamet);
//输出第三个流，网络处理层流
MattingOutIndex = pipe.AddLayer("matting out put", OeipLayerType.OEIP_OUTPUT_LAYER);
outputParamet.bGpu = 1;
outputParamet.bCpu = 0;
Pipe.UpdateParamet(MattingOutIndex, outputParamet);
}
}
