├── .gitattributes ├── .gitignore ├── Assets ├── labels.txt ├── model.pb └── test.jpg ├── CustomVision-TensorFlow.csproj ├── CustomVision-TensorFlow.sln ├── CustomVision.cs ├── ImageUtil.cs ├── Program.cs ├── Properties ├── PublishProfiles │ └── FolderProfile.pubxml └── launchSettings.json └── Readme.md /.gitattributes: -------------------------------------------------------------------------------- 1 | ############################################################################### 2 | # Set default behavior to automatically normalize line endings. 3 | ############################################################################### 4 | * text=auto 5 | 6 | ############################################################################### 7 | # Set default behavior for command prompt diff. 8 | # 9 | # This is need for earlier builds of msysgit that does not have it on by 10 | # default for csharp files. 11 | # Note: This is only used by command line 12 | ############################################################################### 13 | #*.cs diff=csharp 14 | 15 | ############################################################################### 16 | # Set the merge driver for project and solution files 17 | # 18 | # Merging from the command prompt will add diff markers to the files if there 19 | # are conflicts (Merging from VS is not affected by the settings below, in VS 20 | # the diff markers are never inserted). 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Backup files are not needed, 207 | # because we have git ;-) 208 | _UpgradeReport_Files/ 209 | Backup*/ 210 | UpgradeLog*.XML 211 | UpgradeLog*.htm 212 | 213 | # SQL Server files 214 | *.mdf 215 | *.ldf 216 | 217 | # Business Intelligence projects 218 | *.rdl.data 219 | *.bim.layout 220 | *.bim_*.settings 221 | 222 | # Microsoft Fakes 223 | FakesAssemblies/ 224 | 225 | # GhostDoc plugin setting file 226 | *.GhostDoc.xml 227 | 228 | # Node.js Tools for Visual Studio 229 | .ntvs_analysis.dat 230 | 231 | # Visual Studio 6 build log 232 | *.plg 233 | 234 | # Visual Studio 6 workspace options file 235 | *.opt 236 | 237 | # Visual Studio LightSwitch build output 238 | **/*.HTMLClient/GeneratedArtifacts 239 | **/*.DesktopClient/GeneratedArtifacts 240 | **/*.DesktopClient/ModelManifest.xml 241 | **/*.Server/GeneratedArtifacts 242 | **/*.Server/ModelManifest.xml 243 | _Pvt_Extensions 244 | 245 | # Paket dependency manager 246 | .paket/paket.exe 247 | paket-files/ 248 | 249 | # FAKE - F# Make 250 | .fake/ 251 | 252 | # JetBrains Rider 253 | .idea/ 254 | *.sln.iml 255 | 256 | # CodeRush 257 | .cr/ 258 | 259 | # Python Tools for Visual Studio (PTVS) 260 | __pycache__/ 261 | *.pyc -------------------------------------------------------------------------------- /Assets/labels.txt: -------------------------------------------------------------------------------- 1 | Agaricus bisporus 2 | Amanica muscaria 3 | Coprinopsis atramentaria 4 | Geastrum triplex 5 | Lycoperdon perlatum 6 | Psilocybe cubensis 7 | -------------------------------------------------------------------------------- /Assets/model.pb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/daltskin/CustomVision-TensorFlow-CSharp/7629dd883cd3d797c2b14cd99ed2520f80fca500/Assets/model.pb -------------------------------------------------------------------------------- /Assets/test.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/daltskin/CustomVision-TensorFlow-CSharp/7629dd883cd3d797c2b14cd99ed2520f80fca500/Assets/test.jpg -------------------------------------------------------------------------------- /CustomVision-TensorFlow.csproj: -------------------------------------------------------------------------------- 1 | 2 | 3 | Exe 4 | netcoreapp2.0 5 | win-x64;ubuntu.16.04-x64 6 | 7 | 8 | 7.1 9 | 10 | 11 | 7.1 12 | 13 | 14 | 15 | 16 | 17 | 18 | 19 | 20 | 21 | 22 | 23 | 24 | 25 | 26 | 27 | -------------------------------------------------------------------------------- /CustomVision-TensorFlow.sln: -------------------------------------------------------------------------------- 1 |  2 | Microsoft Visual Studio Solution File, Format Version 12.00 3 | # Visual Studio 15 4 | VisualStudioVersion = 15.0.27130.2026 5 | MinimumVisualStudioVersion = 10.0.40219.1 6 | Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "CustomVision-TensorFlow", "CustomVision-TensorFlow.csproj", "{71ED210A-7E66-4DD3-9C2A-2C50B0842BE4}" 7 | EndProject 8 | Project("{2150E333-8FDC-42A3-9474-1A3956D46DE8}") = "Solution Items", "Solution Items", "{1054F202-3D0F-4435-9CCD-3A0327F486A4}" 9 | ProjectSection(SolutionItems) = preProject 10 | Readme.md = Readme.md 11 | EndProjectSection 12 | EndProject 13 | Global 14 | GlobalSection(SolutionConfigurationPlatforms) = preSolution 15 | Debug|Any CPU = Debug|Any CPU 16 | Debug|x86 = Debug|x86 17 | Release|Any CPU = Release|Any CPU 18 | Release|x86 = Release|x86 19 | EndGlobalSection 20 | GlobalSection(ProjectConfigurationPlatforms) = postSolution 21 | {71ED210A-7E66-4DD3-9C2A-2C50B0842BE4}.Debug|Any CPU.ActiveCfg = Debug|Any CPU 22 | {71ED210A-7E66-4DD3-9C2A-2C50B0842BE4}.Debug|Any CPU.Build.0 = Debug|Any CPU 23 | {71ED210A-7E66-4DD3-9C2A-2C50B0842BE4}.Debug|x86.ActiveCfg = Debug|Any CPU 24 | {71ED210A-7E66-4DD3-9C2A-2C50B0842BE4}.Debug|x86.Build.0 = Debug|Any CPU 25 | {71ED210A-7E66-4DD3-9C2A-2C50B0842BE4}.Release|Any CPU.ActiveCfg = Release|Any CPU 26 | {71ED210A-7E66-4DD3-9C2A-2C50B0842BE4}.Release|Any CPU.Build.0 = Release|Any CPU 27 | {71ED210A-7E66-4DD3-9C2A-2C50B0842BE4}.Release|x86.ActiveCfg = Release|Any CPU 28 | {71ED210A-7E66-4DD3-9C2A-2C50B0842BE4}.Release|x86.Build.0 = Release|Any CPU 29 | EndGlobalSection 30 | GlobalSection(SolutionProperties) = preSolution 31 | HideSolutionNode = FALSE 32 | EndGlobalSection 33 | GlobalSection(ExtensibilityGlobals) = postSolution 34 | SolutionGuid = {71AE8E5A-51E2-44D5-9D09-D243BDAE2206} 35 | EndGlobalSection 36 | EndGlobal 37 | -------------------------------------------------------------------------------- /CustomVision.cs: -------------------------------------------------------------------------------- 1 | namespace CustomVisionCLI 2 | { 3 | using PowerArgs; 4 | using System; 5 | using System.Diagnostics; 6 | using System.IO; 7 | using TensorFlow; 8 | 9 | [ArgExceptionBehavior(ArgExceptionPolicy.StandardExceptionHandling)] 10 | [TabCompletion(HistoryToSave = 10)] 11 | [ArgExample("CustomVision-TensorFlow.exe -m Assets\\model.pb -l Assets\\labels.txt -t Assets\\test.jpg", "using arguments", Title = "Classify image using relative paths")] 12 | [ArgExample("CustomVision-TensorFlow.exe -m c:\\tensorflow\\model.pb -l c:\\tensorflow\\labels.txt -t c:\\tensorflow\\test.jpg", "using arguments", Title = "Classify image using full filepath")] 13 | public class CustomVision 14 | { 15 | [ArgRequired(PromptIfMissing = true)] 16 | [ArgDescription("CustomVision.ai TensorFlow exported model")] 17 | [ArgShortcut("-m")] 18 | public string TensorFlowModelFilePath { get; set; } 19 | 20 | [ArgRequired(PromptIfMissing = true)] 21 | [ArgDescription("CustomVision.ai TensorFlow exported labels")] 22 | [ArgShortcut("-l")] 23 | public string TensorFlowLabelsFilePath { get; set; } 24 | 25 | [ArgRequired(PromptIfMissing = true)] 26 | [ArgDescription("Image to classify (jpg)")] 27 | [ArgShortcut("-t")] 28 | public string TestImageFilePath { get; set; } 29 | 30 | [HelpHook] 31 | public bool Help { get; set; } 32 | 33 | public void Main() 34 | { 35 | Stopwatch stopwatch = new Stopwatch(); 36 | stopwatch.Start(); 37 | 38 | var graph = new TFGraph(); 39 | var model = File.ReadAllBytes(TensorFlowModelFilePath); 40 | var labels = File.ReadAllLines(TensorFlowLabelsFilePath); 41 | graph.Import(model); 42 | 43 | var bestIdx = 0; 44 | float best = 0; 45 | 46 | using (var session = new TFSession(graph)) 47 | { 48 | var tensor = ImageUtil.CreateTensorFromImageFile(TestImageFilePath); 49 | var runner = session.GetRunner(); 50 | runner.AddInput(graph["Placeholder"][0], tensor).Fetch(graph["loss"][0]); 51 | var output = runner.Run(); 52 | var result = output[0]; 53 | 54 | var probabilities = ((float[][])result.GetValue(jagged: true))[0]; 55 | for (int i = 0; i < probabilities.Length; i++) 56 | { 57 | if (probabilities[i] > best) 58 | { 59 | bestIdx = i; 60 | best = probabilities[i]; 61 | } 62 | } 63 | } 64 | 65 | // fin 66 | stopwatch.Stop(); 67 | Console.WriteLine($"{TestImageFilePath} = {labels[bestIdx]} ({best * 100.0}%)"); 68 | Console.WriteLine($"Total time: {stopwatch.Elapsed}"); 69 | Console.ReadKey(); 70 | } 71 | } 72 | } 73 | -------------------------------------------------------------------------------- /ImageUtil.cs: -------------------------------------------------------------------------------- 1 | namespace TensorFlow 2 | { 3 | using System.IO; 4 | 5 | // Taken and adapted from: https://github.com/migueldeicaza/TensorFlowSharp/blob/master/Examples/ExampleCommon/ImageUtil.cs 6 | public static class ImageUtil 7 | { 8 | // Convert the image in filename to a Tensor suitable as input to the Inception model. 9 | public static TFTensor CreateTensorFromImageFile (string file, TFDataType destinationDataType = TFDataType.Float) 10 | { 11 | var contents = File.ReadAllBytes (file); 12 | 13 | // DecodeJpeg uses a scalar String-valued tensor as input. 14 | var tensor = TFTensor.CreateString (contents); 15 | 16 | // Construct a graph to normalize the image 17 | using (var graph = ConstructGraphToNormalizeImage(out TFOutput input, out TFOutput output, destinationDataType)) 18 | { 19 | // Execute that graph to normalize this one image 20 | using (var session = new TFSession(graph)) 21 | { 22 | var normalized = session.Run( 23 | inputs: new[] { input }, 24 | inputValues: new[] { tensor }, 25 | outputs: new[] { output }); 26 | 27 | return normalized[0]; 28 | } 29 | } 30 | } 31 | 32 | // Additional pointers for using TensorFlow & CustomVision together 33 | // Python: https://github.com/tensorflow/tensorflow/blob/master/tensorflow/examples/label_image/label_image.py 34 | // C++: https://github.com/tensorflow/tensorflow/blob/master/tensorflow/examples/label_image/main.cc 35 | // Java: https://github.com/Azure-Samples/cognitive-services-android-customvision-sample/blob/master/app/src/main/java/demo/tensorflow/org/customvision_sample/MSCognitiveServicesClassifier.java 36 | private static TFGraph ConstructGraphToNormalizeImage (out TFOutput input, out TFOutput output, TFDataType destinationDataType = TFDataType.Float) 37 | { 38 | const int W = 227; 39 | const int H = 227; 40 | const float Scale = 1; 41 | 42 | // Depending on your CustomVision.ai Domain - set appropriate Mean Values (RGB) 43 | // https://github.com/Azure-Samples/cognitive-services-android-customvision-sample for RGB values (in BGR order) 44 | var bgrValues = new TFTensor(new float[] { 104.0f, 117.0f, 123.0f }); // General (Compact) & Landmark (Compact) 45 | //var bgrValues = new TFTensor(0f); // Retail (Compact) 46 | 47 | var graph = new TFGraph (); 48 | input = graph.Placeholder (TFDataType.String); 49 | 50 | var caster = graph.Cast(graph.DecodeJpeg(contents: input, channels: 3), DstT: TFDataType.Float); 51 | var dims_expander = graph.ExpandDims(caster, graph.Const(0, "batch")); 52 | var resized = graph.ResizeBilinear(dims_expander, graph.Const(new int[] { H, W }, "size")); 53 | var resized_mean = graph.Sub(resized, graph.Const(bgrValues, "mean")); 54 | var normalised = graph.Div(resized_mean, graph.Const(Scale)); 55 | output = normalised; 56 | return graph; 57 | } 58 | } 59 | } 60 | -------------------------------------------------------------------------------- /Program.cs: -------------------------------------------------------------------------------- 1 | namespace CustomVisionCLI 2 | { 3 | using PowerArgs; 4 | public class Program 5 | { 6 | static void Main(string[] args) 7 | { 8 | Args.InvokeMain(args); 9 | } 10 | } 11 | } -------------------------------------------------------------------------------- /Properties/PublishProfiles/FolderProfile.pubxml: -------------------------------------------------------------------------------- 1 |  2 | 6 | 7 | 8 | FileSystem 9 | Release 10 | netcoreapp2.0 11 | bin\Release\PublishOutput 12 | win-x64 13 | 14 | -------------------------------------------------------------------------------- /Properties/launchSettings.json: -------------------------------------------------------------------------------- 1 | { 2 | "profiles": { 3 | "CustomVisionCLI": { 4 | "commandName": "Project", 5 | "commandLineArgs": "-m Assets\\model.pb -l Assets\\labels.txt -t \"Assets\\test.jpg\"" 6 | }, 7 | "CustomVision-TensorFlow-CSharp": { 8 | "commandName": "Executable" 9 | } 10 | } 11 | } -------------------------------------------------------------------------------- /Readme.md: -------------------------------------------------------------------------------- 1 | # CustomVision.ai TensorFlow CLI - Offline image classification using C# 2 | Cross platform CLI to run a pre-trained model exported from [CustomVision.ai](https://CustomVision.ai) in the Tensorflow format for image classification using the [TensorFlowSharp library](https://github.com/migueldeicaza/TensorFlowSharp). 3 | 4 | To learn more about Microsoft Cognitive Custom Vision Service, please see here: https://azure.microsoft.com/en-gb/services/cognitive-services/custom-vision-service/ 5 | 6 | 7 | ## Mean Values (RGB) 8 | Depending on the [CustomVision.ai](https://CustomVision.ai) model's Domain, you'll need to set the appropriate values within the code: 9 | 10 | | Project's Domain | Mean Values (RGB) | 11 | |----|----| 12 | |General (Compact) | (123, 117, 104) | 13 | | Landmark (Compact) | (123, 117, 104) | 14 | | Retail (Compact) | (0, 0, 0) | 15 | 16 | These are set in BGR eg: 17 | 18 | ``` 19 | // General (Compact) 20 | // Landmark (Compact) 21 | var bgrValues = new TFTensor(new float[] { 104.0f, 117.0f, 123.0f }); 22 | ``` 23 | 24 | ``` 25 | // Retail (Compact) 26 | var bgrValues = new TFTensor(0f); 27 | ``` 28 | 29 | ## CLI Arguments 30 | 31 | | Argument name | shortcut | example | 32 | |----|----|----| 33 | | TensorFlowModelFilePath | -m | Assets\model.pb | 34 | | TensorFlowLabelsFilePath | -l | Assets\labels.txt | 35 | | TestImageFilePath | -t | Assets\test.jpg | 36 | 37 | ## Usage 38 | - Open the solution 39 | - Restore Nuget Packages 40 | - Run & enjoy 41 | 42 | In case you see the following error: 43 | 44 | *Unhandled Exception: System.DllNotFoundException: Unable to load DLL 'libtensorflow': The specified module could not be found.* 45 | 46 | Copy the libtensorflow.dll file from the relevant %userprofile%\.nuget\packages\tensorflowsharp runtimes folder of your OS into the same folder as the compiled executable. 47 | 48 | ### Image classification 49 | The sample TensorFlow model (exported from CustomVision.ai) is for [mushroom classification](https://blogs.msdn.microsoft.com/jamiedalton/2018/01/30/custom-vision-model-for-mushroom-classification-using-bing-images/) 50 | ``` 51 | CustomVision-TensorFlow.exe -m Assets\model.pb -l Assets\labels.txt -t Assets\test.jpg 52 | ``` 53 | 54 | ### Output 55 | Running the above from the command line will display the following: 56 | ``` 57 | I tensorflow/core/platform/cpu_feature_guard.cc:137] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX AVX2 58 | C:\Github\CustomVision-TensorFlow-CSharp\Assets\test.jpg = Agaricus bisporus (92.7477061748505%) 59 | Total time: 00:00:00.4987094 60 | ``` 61 | 62 | ### Resources 63 | - Link to [Custom Vision Service Documentation](https://docs.microsoft.com/en-us/azure/cognitive-services/custom-vision-service/home) 64 | - Link to [Custom Vision with Android](https://github.com/Azure-Samples/cognitive-services-android-customvision-sample) 65 | - Link to [TensorFlow documentation](https://www.tensorflow.org/mobile/) 66 | - Link to [TensorFlowSharp](https://github.com/migueldeicaza/TensorFlowSharp) 67 | - Link to [TensorFlow example code using Python](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/examples/label_image/label_image.py) 68 | - Link to [TensorFlow example code using C++](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/examples/label_image/main.cc) 69 | - Link to [TensorFlow example code using Java](https://github.com/Azure-Samples/cognitive-services-android-customvision-sample/blob/master/app/src/main/java/demo/tensorflow/org/customvision_sample/MSCognitiveServicesClassifier.java) 70 | 71 | --------------------------------------------------------------------------------