update => net6.0, added support for GpuMemortPointer & optimze the me…

…mory leakage

.gitignore

@@ -376,3 +376,4 @@ FastYolo.Tests/libdarknet_arm.so
 FastYolo.Tests/libopencv_world_arm.so
 FastYolo.Tests/libpthread_arm.so
 *.so
+*.txt

FastYolo.TestApp/FastYolo.TestApp.csproj

@@ -2,11 +2,14 @@
 
   <PropertyGroup>
     <OutputType>Exe</OutputType>
-    <TargetFramework>net5.0</TargetFramework>
+    <TargetFramework>net6.0</TargetFramework>
+		<PlatformTarget>AnyCPU</PlatformTarget>
+		<ImplicitUsings>enable</ImplicitUsings>
 		<StartupObject>FastYolo.TestApp.Program</StartupObject>
+		<AllowUnsafeBlocks>true</AllowUnsafeBlocks>
 	</PropertyGroup>
 
   <ItemGroup>
-    <ProjectReference Include="..\FastYolo.Tests\FastYolo.Tests.csproj" />
+		<ProjectReference Include="..\FastYolo.Tests\FastYolo.Tests.csproj" />
   </ItemGroup>
 </Project>

FastYolo.TestApp/Program.cs

@@ -1,20 +1,16 @@
-using System;
-using FastYolo.Tests;
+using FastYolo.Tests;
 
-namespace FastYolo.TestApp
+namespace FastYolo.TestApp;
+
+public class Program
 {
-	public class Program
+	//ncrunch: no coverage start
+	public static void Main()
 	{
-		//ncrunch: no coverage start
-		public static void Main()
-		{
-			using var yoloWrapper = new YoloWrapper(YoloConfigurationTests.YoloConfigFilename,
-				YoloConfigurationTests.YoloWeightsFilename,
-				YoloConfigurationTests.YoloClassesFilename);
-			var yoloItems = yoloWrapper.Detect(YoloConfigurationTests.DummyImageFilename);
-			foreach (var item in yoloItems)
-				Console.WriteLine("Found " + item.Type + " " + item.X + "," + item.Y);
-			Console.WriteLine("LoadDummyImageForObjectDetection() Done\n");
-		}
+		using var yoloWrapper = new YoloWrapper(YoloConfigurationTests.YoloConfigFilename,
+			YoloConfigurationTests.YoloWeightsFilename, YoloConfigurationTests.YoloClassesFilename);
+		var yoloItems = yoloWrapper.Detect(YoloConfigurationTests.ImageFilename);
+		foreach (var item in yoloItems)
+			Console.WriteLine("Found " + item.Type + " " + item.X + "," + item.Y);
 	}
 }

FastYolo.TestApp/yolo_cpp_dll.sln

@@ -0,0 +1,29 @@
+
+Microsoft Visual Studio Solution File, Format Version 12.00
+# Visual Studio Version 16
+VisualStudioVersion = 16.0.30204.135
+MinimumVisualStudioVersion = 10.0.40219.1
+Project("{8BC9CEB8-8B4A-11D0-8D11-00A0C91BC942}") = "yolo_cpp_dll", "yolo_cpp_dll.vcxproj", "{4CF5694F-12A5-4012-8D94-9A0915E9FEB5}"
+EndProject
+Global
+	GlobalSection(SolutionConfigurationPlatforms) = preSolution
+		Debug|x64 = Debug|x64
+		Debug|x86 = Debug|x86
+		Release|x64 = Release|x64
+		Release|x86 = Release|x86
+	EndGlobalSection
+	GlobalSection(ProjectConfigurationPlatforms) = postSolution
+		{4CF5694F-12A5-4012-8D94-9A0915E9FEB5}.Debug|x64.ActiveCfg = Debug|x64
+		{4CF5694F-12A5-4012-8D94-9A0915E9FEB5}.Debug|x64.Build.0 = Debug|x64
+		{4CF5694F-12A5-4012-8D94-9A0915E9FEB5}.Debug|x86.ActiveCfg = Debug|x64
+		{4CF5694F-12A5-4012-8D94-9A0915E9FEB5}.Release|x64.ActiveCfg = Release|x64
+		{4CF5694F-12A5-4012-8D94-9A0915E9FEB5}.Release|x64.Build.0 = Release|x64
+		{4CF5694F-12A5-4012-8D94-9A0915E9FEB5}.Release|x86.ActiveCfg = Release|x64
+	EndGlobalSection
+	GlobalSection(SolutionProperties) = preSolution
+		HideSolutionNode = FALSE
+	EndGlobalSection
+	GlobalSection(ExtensibilityGlobals) = postSolution
+		SolutionGuid = {48B51309-F4EE-4EA4-8438-DB05D81DAF94}
+	EndGlobalSection
+EndGlobal

FastYolo.Tests/Assets/coco.names

@@ -0,0 +1,80 @@
+person
+bicycle
+car
+motorbike
+aeroplane
+bus
+train
+truck
+boat
+traffic light
+fire hydrant
+stop sign
+parking meter
+bench
+bird
+cat
+dog
+horse
+sheep
+cow
+elephant
+bear
+zebra
+giraffe
+backpack
+umbrella
+handbag
+tie
+suitcase
+frisbee
+skis
+snowboard
+sports ball
+kite
+baseball bat
+baseball glove
+skateboard
+surfboard
+tennis racket
+bottle
+wine glass
+cup
+fork
+knife
+spoon
+bowl
+banana
+apple
+sandwich
+orange
+broccoli
+carrot
+hot dog
+pizza
+donut
+cake
+chair
+sofa
+pottedplant
+bed
+diningtable
+toilet
+tvmonitor
+laptop
+mouse
+remote
+keyboard
+cell phone
+microwave
+oven
+toaster
+sink
+refrigerator
+book
+clock
+vase
+scissors
+teddy bear
+hair drier
+toothbrush

FastYolo.Tests/Assets/yolov3-tiny.cfg

@@ -0,0 +1,182 @@
+[net]
+# Testing
+batch=1
+subdivisions=1
+# Training
+# batch=64
+# subdivisions=2
+width=416
+height=416
+channels=3
+momentum=0.9
+decay=0.0005
+angle=0
+saturation = 1.5
+exposure = 1.5
+hue=.1
+
+learning_rate=0.001
+burn_in=1000
+max_batches = 500200
+policy=steps
+steps=400000,450000
+scales=.1,.1
+
+[convolutional]
+batch_normalize=1
+filters=16
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[maxpool]
+size=2
+stride=2
+
+[convolutional]
+batch_normalize=1
+filters=32
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[maxpool]
+size=2
+stride=2
+
+[convolutional]
+batch_normalize=1
+filters=64
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[maxpool]
+size=2
+stride=2
+
+[convolutional]
+batch_normalize=1
+filters=128
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[maxpool]
+size=2
+stride=2
+
+[convolutional]
+batch_normalize=1
+filters=256
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[maxpool]
+size=2
+stride=2
+
+[convolutional]
+batch_normalize=1
+filters=512
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[maxpool]
+size=2
+stride=1
+
+[convolutional]
+batch_normalize=1
+filters=1024
+size=3
+stride=1
+pad=1
+activation=leaky
+
+###########
+
+[convolutional]
+batch_normalize=1
+filters=256
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+filters=512
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+size=1
+stride=1
+pad=1
+filters=255
+activation=linear
+
+
+
+[yolo]
+mask = 3,4,5
+anchors = 10,14,  23,27,  37,58,  81,82,  135,169,  344,319
+classes=80
+num=6
+jitter=.3
+ignore_thresh = .7
+truth_thresh = 1
+random=1
+
+[route]
+layers = -4
+
+[convolutional]
+batch_normalize=1
+filters=128
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[upsample]
+stride=2
+
+[route]
+layers = -1, 8
+
+[convolutional]
+batch_normalize=1
+filters=256
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+size=1
+stride=1
+pad=1
+filters=255
+activation=linear
+
+[yolo]
+mask = 0,1,2
+anchors = 10,14,  23,27,  37,58,  81,82,  135,169,  344,319
+classes=80
+num=6
+jitter=.3
+ignore_thresh = .7
+truth_thresh = 1
+random=1