From bcc64177c88c613ada1a311bd158217115021c4f Mon Sep 17 00:00:00 2001 From: jwood803 Date: Thu, 17 Mar 2022 12:49:31 -0400 Subject: [PATCH 01/15] Initial add of custom vision tutorial --- ...image-classification-custom-vision-onnx.md | 37 +++++++++++++++++++ 1 file changed, 37 insertions(+) create mode 100644 docs/machine-learning/tutorials/image-classification-custom-vision-onnx.md diff --git a/docs/machine-learning/tutorials/image-classification-custom-vision-onnx.md b/docs/machine-learning/tutorials/image-classification-custom-vision-onnx.md new file mode 100644 index 0000000000000..0f83e1c2b10bf --- /dev/null +++ b/docs/machine-learning/tutorials/image-classification-custom-vision-onnx.md @@ -0,0 +1,37 @@ +--- +title: 'Tutorial: ML.NET prediction to categorize images from Custom Vision ONNX model' +description: Learn how to categorize images using an ONNX model from the Custom Vision service in ML.NET. +ms.date: 03/20/2022 +ms.topic: tutorial +ms.custom: mvc, title-hack-0612 +recommendations: false +#Customer intent: As a developer, I want to use ML.NET to categorize images using an ONNX model trained in the Custom Vision service. +--- +# Tutorial: Categorize an image in ML.NET from Custom Vision ONNX model + +Learn how to use ML.NET to categorize images using an ONNX model trained in the Microsoft Custom Vision service. + +The Microsoft Custom Vision service is an AI service that allows you to upload your own images and it will train a model for you. You can then export the model to ONNX format and use it in ML.NET to make predictions. + +In this tutorial, you will learn how to: +> [!div class="checklist"] +> +> * Understand the problem +> * Incorporate the ONNX model into the ML.NET pipeline +> * Train and evaluate the ML.NET model +> * Classify a test image + +## Prerequisites + +* [Visual Studio 2022](https://visualstudio.microsoft.com/downloads/). + +## Select the right machine learning task + +### Data + +The images we will upload to the Custom Vision service is a set of images of flowers. The data can be found on [Kaggle](https://www.kaggle.com/alxmamaev/flowers-recognition). The data consists of five folders indicating what flower the images inside the folder indicate, such as rose, tulip, and sunflower. + +## Create the Model + +Log into the [Microsoft Custom Vision service](https://www.customvision.ai/) and select "New Project". + From e89adde19dcc12da1dc08fea5cf78fbf70e8fc9c Mon Sep 17 00:00:00 2001 From: jwood803 Date: Thu, 17 Mar 2022 13:13:07 -0400 Subject: [PATCH 02/15] More tutorial additions --- .../image-classification-custom-vision-onnx.md | 12 ++++++++++++ 1 file changed, 12 insertions(+) diff --git a/docs/machine-learning/tutorials/image-classification-custom-vision-onnx.md b/docs/machine-learning/tutorials/image-classification-custom-vision-onnx.md index 0f83e1c2b10bf..c8b9b1fb6eb9e 100644 --- a/docs/machine-learning/tutorials/image-classification-custom-vision-onnx.md +++ b/docs/machine-learning/tutorials/image-classification-custom-vision-onnx.md @@ -17,6 +17,7 @@ In this tutorial, you will learn how to: > [!div class="checklist"] > > * Understand the problem +> * Use the Custom Vision service to create an ONNX model > * Incorporate the ONNX model into the ML.NET pipeline > * Train and evaluate the ML.NET model > * Classify a test image @@ -35,3 +36,14 @@ The images we will upload to the Custom Vision service is a set of images of flo Log into the [Microsoft Custom Vision service](https://www.customvision.ai/) and select "New Project". +In the "New Project" dialog, fill out the following required items: + +- Name: The name of the Custom Vision project +- Resource: This is the Azure resource that will be created for the Custom Vision project. If none is listed, one can be created by selecting the "Create" link. +- Project Type: Select "Classification" +- Classification Types: Select "Multiclass" since there will be one class per image. +- Domains: Select "General (compact)". The compact domain will allow you to download the ONNX model. +- Export capabilities: Select "Basic platforms" to allow the export of the ONNX model. + +Once the above fields are filed out click the "Create project" button. + From 0c35c68aa3927d70990d625255ee61b971098b31 Mon Sep 17 00:00:00 2001 From: jwood803 Date: Fri, 1 Apr 2022 16:15:02 -0400 Subject: [PATCH 03/15] Tutorial additions --- ...image-classification-custom-vision-onnx.md | 60 ++++++++++++++++--- 1 file changed, 52 insertions(+), 8 deletions(-) diff --git a/docs/machine-learning/tutorials/image-classification-custom-vision-onnx.md b/docs/machine-learning/tutorials/image-classification-custom-vision-onnx.md index c8b9b1fb6eb9e..b7b7673645a7b 100644 --- a/docs/machine-learning/tutorials/image-classification-custom-vision-onnx.md +++ b/docs/machine-learning/tutorials/image-classification-custom-vision-onnx.md @@ -25,25 +25,69 @@ In this tutorial, you will learn how to: ## Prerequisites * [Visual Studio 2022](https://visualstudio.microsoft.com/downloads/). +* [Download the dataset]() of stop sign or traffic light images and unzip. +* Azure account. If you don't have one, [create a free Azure account](https://aka.ms/AMLFree). ## Select the right machine learning task ### Data -The images we will upload to the Custom Vision service is a set of images of flowers. The data can be found on [Kaggle](https://www.kaggle.com/alxmamaev/flowers-recognition). The data consists of five folders indicating what flower the images inside the folder indicate, such as rose, tulip, and sunflower. +The images we will upload to the Custom Vision service consists of images downloaded from [Unsplash](https://unsplash.com/), each of which contain at least one stop sign or a traffic light. You can download the dataset [here](). ## Create the Model +### Create the Custom Vision Project + Log into the [Microsoft Custom Vision service](https://www.customvision.ai/) and select "New Project". In the "New Project" dialog, fill out the following required items: -- Name: The name of the Custom Vision project -- Resource: This is the Azure resource that will be created for the Custom Vision project. If none is listed, one can be created by selecting the "Create" link. -- Project Type: Select "Classification" -- Classification Types: Select "Multiclass" since there will be one class per image. -- Domains: Select "General (compact)". The compact domain will allow you to download the ONNX model. -- Export capabilities: Select "Basic platforms" to allow the export of the ONNX model. +- Set the "Name" of the Custom Vision project as **StopSignClassification**. +- Select the "Resource" you will use. This is an Azure resource that will be created for the Custom Vision project. If none is listed, one can be created by selecting the **Create new** link. +- Set the "Project type" as **Classification**. +- Set the "Classification Types" as **Multiclass** since there will be one class per image. +- Set the "Domain" as **General (compact)**. The compact domain will allow you to download the ONNX model. +- For "Export capabilities" select **Basic platforms** to allow the export of the ONNX model. + +Once the above fields are filled out click the **Create project** button. + +### Add images + +With the project created, click on the **Add images** button to start adding images for the model to train on. Select the stop sign images in the file browser that will display. + +A popup will display where you can add tags that to those images. Set the tag as **stop-sign** and click the **Upload** button. Once the images have uploaded click the **Done** button to close the popup. + +### Train the model + +With the images uploaded and tagged the model can now be trained. Click on the **Train** button. For the "Training type" select **Quick training** and click on the **Train** button. + +A popup will display asking what type of training to use. Select **Quick training** and click the **Train** button. + +### Download the ONNX model + +Once training is completed click on the "Export" button. When the popup displays click on the "ONNX" selection to download the ONNX model. + +## Create a project + +1. Create a C# **Console Application** called "WeatherRecognition". Click the **Next** button. + +1. Choose .NET 6 as the framework to use. Click the **Create** button. + +1. Install the **Microsoft.ML NuGet Package**: + + [!INCLUDE [mlnet-current-nuget-version](../../../includes/mlnet-current-nuget-version.md)] + + * In Solution Explorer, right-click on your project and select **Manage NuGet Packages**. + * Choose "nuget.org" as the Package source, select the Browse tab, search for **Microsoft.ML**. + * Select the **Install** button. + * Select the **OK** button on the **Preview Changes** dialog. + * Select the **I Accept** button on the **License Acceptance** dialog if you agree with the license terms for the packages listed. + * Repeat these steps for **Microsoft.ML.ImageAnalytics**, and **Microsoft.Onnx.Transformer**. + +## Reference the ONNX model + +Unzip the ONNX file from Custom Vision. The folder will contain several files, but the two that we will use in this tutorial are the following: -Once the above fields are filed out click the "Create project" button. +- **labels.txt** is a text file containing the labels that were defined in the Custom Vision service. +- **model.onnx** is the ONNX model that we will use to make predictions in ML.NET. From 6cfa697957e10f4f59c16e86508443c9f1ba5c98 Mon Sep 17 00:00:00 2001 From: jwood803 Date: Sat, 16 Apr 2022 11:29:07 -0400 Subject: [PATCH 04/15] More additions to ONNX tutorial --- ...image-classification-custom-vision-onnx.md | 112 +++++++++++++++++- .../netron-image-size.png | Bin 0 -> 47963 bytes .../netron-input-column.png | Bin 0 -> 47919 bytes .../netron-output-column.png | Bin 0 -> 103504 bytes 4 files changed, 109 insertions(+), 3 deletions(-) create mode 100644 docs/machine-learning/tutorials/media/onnx-image-classification/netron-image-size.png create mode 100644 docs/machine-learning/tutorials/media/onnx-image-classification/netron-input-column.png create mode 100644 docs/machine-learning/tutorials/media/onnx-image-classification/netron-output-column.png diff --git a/docs/machine-learning/tutorials/image-classification-custom-vision-onnx.md b/docs/machine-learning/tutorials/image-classification-custom-vision-onnx.md index b7b7673645a7b..f3b64b7734126 100644 --- a/docs/machine-learning/tutorials/image-classification-custom-vision-onnx.md +++ b/docs/machine-learning/tutorials/image-classification-custom-vision-onnx.md @@ -67,6 +67,29 @@ A popup will display asking what type of training to use. Select **Quick trainin Once training is completed click on the "Export" button. When the popup displays click on the "ONNX" selection to download the ONNX model. +### Analyze ONNX model + +Unzip the ONNX file from Custom Vision. The folder will contain several files, but the two that we will use in this tutorial are the following: + +- **labels.txt** is a text file containing the labels that were defined in the Custom Vision service. +- **model.onnx** is the ONNX model that we will use to make predictions in ML.NET. + +In order to build our ML.NET pipeline we will need the names of the input and output column names. To get this we can use Netron, a [web](https://netron.app/) and [desktop](https://github.com/lutzroeder/netron/releases/) app that can analyze ONNX models and show its architecture. + +1. When using either the web or desktop app of Netron, open the ONNX model in the app. Once it opens it will display a graph. This graph will tell you a few things that you will need in order to build the ML.NET pipeline. + + - **Input column name** - The input column name required when applying the ONNX model in ML.NET. + + ![Netron Input Column](./media/onnx-image-classification/netron-input-column.png) + + - **Output column name** - The output column name required when applying the ONNX model in ML.NET. + + ![Netron Output Column](./media/onnx-image-classification/netron-output-column.png) + + - **Image size** - The size required when resizing images in the ML.NET pipeline. + + ![Netron Image Size](./media/onnx-image-classification/netron-image-size.png) + ## Create a project 1. Create a C# **Console Application** called "WeatherRecognition". Click the **Next** button. @@ -86,8 +109,91 @@ Once training is completed click on the "Export" button. When the popup displays ## Reference the ONNX model -Unzip the ONNX file from Custom Vision. The folder will contain several files, but the two that we will use in this tutorial are the following: +Reference the two files from the ONNX model in the Visual Studio solution - **labels.txt** and **model.onnx**. Right click them and in the properties set the **Copy to output directory** setting to "Copy if newer". + +## Create input and prediction classes + +1. Add a new class to your project and name it 'WeatherRecognitionInput'. Then add the following property to the class. + + ```csharp + [ImageType(300, 300)] + public Bitmap Image { get; set; } + ``` + + The `Image` property contains the bitmap of the image used for prediction. And the `ImageType` attribute tells ML.NET that the property is an image with dimensions of 300 and 300. + +1. Add another class to your project and name it 'WeatherRecognitionPrediction'. Then add the following property to the class. + + ```csharp + [ColumnName("model_output")] + public float[] PredictedLabels { get; set; } + ``` + + The `PredictedLabels` property contains the predictions of each labels. The type is a float array, so each item in the array will be the prediction of each label. The `ColumnName` attribute tells ML.NET that this column in the model is the name given, which is `model_output`. + +## Predict on an image + +### Add using statements + +In the "Program.cs" file, add the following usings to the top of the file. + +```csharp +using Microsoft.ML; +using Microsoft.ML.Transforms.Image; +using System.Drawing; +using WeatherRecognition; +``` + +### Create objects + +1. Below the using statements create the `MLContext` object. + + ```csharp + var context = new MLContext(); + ``` + +1. Create an empty list of the `WeatherRecognitionInput` class. + + ```csharp + var emptyData = new List(); + ``` + +1. Create an `IDataView` on the `WeatherRecognitionInput` list. + + ```csharp + var data = context.Data.LoadFromEnumerable(emptyData); + ``` + +## Build the pipeline + +With the empty `IDataView` created the pipeline can be built to do the predictions of any new images. The pipeline will consist of several steps. + +1. Resize the incoming images. + +The image being sent to the model for prediction will often be in a different aspect ratio as the images that were trained on the model. To keep the image consistent for accurate predictions, we resize the image to 300x300. We also give the `imageColumnName` as the name of the `WeatherRecognitionInput.Image` property. We do this with the `context.Transforms.ResizeImages` method. This method is an extension method from the `Microsoft.ML.ImageAnalytics` NuGet package. + +```csharp +var pipeline = context.Transforms.ResizeImages(resizing: ImageResizingEstimator.ResizingKind.Fill, outputColumnName: "data", imageWidth: 300, imageHeight: 300, inputColumnName: nameof(WeatherRecognitionInput.Image)) +``` + +1. Extract the pixels of the image + +Once the image has been resized, we would need to extract the pixels of the image. We append the `context.Transforms.ExtractPixels` method that is also an extension method from the `Microsoft.ML.ImageAnalytics` NuGet package. We give it an `outputColumnName` as a parameter. + +```csharp +.Append(context.Transforms.ExtractPixels(outputColumnName: "data")) +``` + +1. Apply the ONNX model to the image to make a prediction. This takes a few pramaters: + + - **modelFile** - + - **outputColumnName** - + - **incputColumnName** - + +```csharp +.Append(context.Transforms.ApplyOnnxModel(modelFile: "./model/model.onnx", outputColumnName: "model_output", inputColumnName: "data")); +``` + -- **labels.txt** is a text file containing the labels that were defined in the Custom Vision service. -- **model.onnx** is the ONNX model that we will use to make predictions in ML.NET. +## Extract the labels diff --git a/docs/machine-learning/tutorials/media/onnx-image-classification/netron-image-size.png b/docs/machine-learning/tutorials/media/onnx-image-classification/netron-image-size.png new file mode 100644 index 0000000000000000000000000000000000000000..0db083941b2a879ad3e9366bafecbd10650ec734 GIT binary patch literal 47963 zcmeFZbyStz*ER~xIPX+Lh?67g8p-k4ET-s7Xp3|*Zlr{BN_Rhv%#@s$iHVp9FlMR`}d6&#ARK) zD|6r%inX}99TE~AHR1rQA^c3q33X^$x-jbCmhRSN(b376i-lDM(YiE#L9I^y(Y(Fd^Lw24%~`oos4%c3JgJ~q 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z9b&4;awlA!;devAo&xCDhZ+w%R{H9k;1aNwm&avhN!&9C&oytbafv0Tk+Fb*{4Np* z9=(~m!#`nLah(suUJ9uBOkiEezyo|&9Di_Vga_mQ4 Date: Sat, 16 Apr 2022 22:13:36 -0400 Subject: [PATCH 05/15] Adding the fit and prediction engine sections --- ...image-classification-custom-vision-onnx.md | 46 +++++++++++++++---- 1 file changed, 37 insertions(+), 9 deletions(-) diff --git a/docs/machine-learning/tutorials/image-classification-custom-vision-onnx.md b/docs/machine-learning/tutorials/image-classification-custom-vision-onnx.md index f3b64b7734126..3565c07fe1139 100644 --- a/docs/machine-learning/tutorials/image-classification-custom-vision-onnx.md +++ b/docs/machine-learning/tutorials/image-classification-custom-vision-onnx.md @@ -1,7 +1,7 @@ --- title: 'Tutorial: ML.NET prediction to categorize images from Custom Vision ONNX model' description: Learn how to categorize images using an ONNX model from the Custom Vision service in ML.NET. -ms.date: 03/20/2022 +ms.date: 04/18/2022 ms.topic: tutorial ms.custom: mvc, title-hack-0612 recommendations: false @@ -22,17 +22,22 @@ In this tutorial, you will learn how to: > * Train and evaluate the ML.NET model > * Classify a test image +A sample for the ML.NET pipeline and testing of an image can be found [here](). + ## Prerequisites * [Visual Studio 2022](https://visualstudio.microsoft.com/downloads/). -* [Download the dataset]() of stop sign or traffic light images and unzip. +* [Download the dataset](https://data.mendeley.com/datasets/4drtyfjtfy/1) of weather images. * Azure account. If you don't have one, [create a free Azure account](https://aka.ms/AMLFree). ## Select the right machine learning task ### Data -The images we will upload to the Custom Vision service consists of images downloaded from [Unsplash](https://unsplash.com/), each of which contain at least one stop sign or a traffic light. You can download the dataset [here](). +The multi-class weather dataset is used to help analyze outdoor weather. You can download the dataset [here](https://data.mendeley.com/datasets/4drtyfjtfy/1). + +> [!NOTE] +> Ajayi, Gbeminiyi (2018), “Multi-class Weather Dataset for Image Classification”, Mendeley Data, V1, doi: 10.17632/4drtyfjtfy.1 ## Create the Model @@ -42,7 +47,7 @@ Log into the [Microsoft Custom Vision service](https://www.customvision.ai/) and In the "New Project" dialog, fill out the following required items: -- Set the "Name" of the Custom Vision project as **StopSignClassification**. +- Set the "Name" of the Custom Vision project as **WeatherRecognition**. - Select the "Resource" you will use. This is an Azure resource that will be created for the Custom Vision project. If none is listed, one can be created by selecting the **Create new** link. - Set the "Project type" as **Classification**. - Set the "Classification Types" as **Multiclass** since there will be one class per image. @@ -120,7 +125,7 @@ Reference the two files from the ONNX model in the Visual Studio solution - **la public Bitmap Image { get; set; } ``` - The `Image` property contains the bitmap of the image used for prediction. And the `ImageType` attribute tells ML.NET that the property is an image with dimensions of 300 and 300. + The `Image` property contains the bitmap of the image used for prediction. And the `ImageType` attribute tells ML.NET that the property is an image with dimensions of 300 and 300 which was determined by what we saw in Netron when analyzing the model. 1. Add another class to your project and name it 'WeatherRecognitionPrediction'. Then add the following property to the class. @@ -184,16 +189,39 @@ Once the image has been resized, we would need to extract the pixels of the imag .Append(context.Transforms.ExtractPixels(outputColumnName: "data")) ``` -1. Apply the ONNX model to the image to make a prediction. This takes a few pramaters: +1. Apply the ONNX model to the image to make a prediction. This takes a few parameters: - - **modelFile** - - - **outputColumnName** - - - **incputColumnName** - + - **modelFile** - The path to the ONNX model file + - **outputColumnName** - The name of the output column name, which can be found when analyzing the ONNX model in Netron. + - **inputColumnName** - The name of the input column name, which can also be found when analyzing the ONNX model in Netron. ```csharp .Append(context.Transforms.ApplyOnnxModel(modelFile: "./model/model.onnx", outputColumnName: "model_output", inputColumnName: "data")); ``` +## Fit the model + +Now that we have a pipeline defined, we need to use it to build the ML.NET model. We first would use the `Fit` method on the pipeline and pass in the `IDataView` that was built off the empty list of `WeatherRecognitionInput` objects. + +```csharp +var model = pipeline.Fit(data); +``` + +Next, in order to make predictions, we would need to create a prediction engine. This is a generic method, so it will take in the input and output classes that were created earlier. Then, pass in the model as its parameter. +```csharp +var predictionEngine = context.Model.CreatePredictionEngine(model); +``` ## Extract the labels + +In order to get accurate predictions, we would need to extract the labels that we also got from Custom Vision. This will be in the **labels.txt** file that was included in the zip file along with the ONNX model. + +To read the file we'll use the `File.ReadAllLines` method. This will return the labels as an array. + +```csharp +var labels = File.ReadAllLines("./model/labels.txt"); +``` + +## Predict on a test image + From 917c593e84b5637fcc3e01082a963504ab8fd8f6 Mon Sep 17 00:00:00 2001 From: jwood803 Date: Sun, 17 Apr 2022 06:34:51 -0400 Subject: [PATCH 06/15] Add last sections --- ...image-classification-custom-vision-onnx.md | 60 ++++++++++++++++--- 1 file changed, 53 insertions(+), 7 deletions(-) diff --git a/docs/machine-learning/tutorials/image-classification-custom-vision-onnx.md b/docs/machine-learning/tutorials/image-classification-custom-vision-onnx.md index 3565c07fe1139..76321d70caab4 100644 --- a/docs/machine-learning/tutorials/image-classification-custom-vision-onnx.md +++ b/docs/machine-learning/tutorials/image-classification-custom-vision-onnx.md @@ -105,13 +105,13 @@ In order to build our ML.NET pipeline we will need the names of the input and ou [!INCLUDE [mlnet-current-nuget-version](../../../includes/mlnet-current-nuget-version.md)] - * In Solution Explorer, right-click on your project and select **Manage NuGet Packages**. - * Choose "nuget.org" as the Package source, select the Browse tab, search for **Microsoft.ML**. - * Select the **Install** button. - * Select the **OK** button on the **Preview Changes** dialog. - * Select the **I Accept** button on the **License Acceptance** dialog if you agree with the license terms for the packages listed. - * Repeat these steps for **Microsoft.ML.ImageAnalytics**, and **Microsoft.Onnx.Transformer**. - + - In Solution Explorer, right-click on your project and select **Manage NuGet Packages**. + - Choose "nuget.org" as the Package source, select the Browse tab, search for **Microsoft.ML**. + - Select the **Install** button. + - Select the **OK** button on the **Preview Changes** dialog. + - Select the **I Accept** button on the **License Acceptance** dialog if you agree with the license terms for the packages listed. + - Repeat these steps for **Microsoft.ML.ImageAnalytics**, and **Microsoft.Onnx.Transformer**. + ## Reference the ONNX model Reference the two files from the ONNX model in the Visual Studio solution - **labels.txt** and **model.onnx**. Right click them and in the properties set the **Copy to output directory** setting to "Copy if newer". @@ -225,3 +225,49 @@ var labels = File.ReadAllLines("./model/labels.txt"); ## Predict on a test image +Now we can use the model to predict on a new image. In the project, there is a "test" folder that we can read from to get all test images to predict on. This folder contains a sunrise image from [Unsplash](https://unsplash.com/) To get those images, we use the `Directory.GetFiles` method. + +```csharp +var testFiles = Directory.GetFiles("./test"); +``` + +With the test files retrieved, we can loop through them and make a prediction on them with our model and output the result. + +```csharp +Bitmap testImage; + +foreach (var image in testFiles) +{ + using (var stream = new FileStream(image, FileMode.Open)) + { + testImage = (Bitmap)Image.FromStream(stream); + } + + var prediction = predictionEngine.Predict(new WeatherRecognitionInput { Image = testImage }); + + var maxValue = prediction.PredictedLabels.Max(); + var maxIndex = prediction.PredictedLabels.ToList().IndexOf(maxValue); + + var predictedLabel = labels[maxIndex]; + + Console.WriteLine($"Prediction for file {image}: {predictedLabel}"); +} +``` + +## Next steps + +In this tutorial you learned how to: + +> [!div class="checklist"] +> +> * Understand the problem +> * Use the Custom Vision service to create an ONNX model +> * Incorporate the ONNX model into the ML.NET pipeline +> * Train and evaluate the ML.NET model +> * Classify a test image + +Try one of the other image classification tutorials: + +- [Image Classification with Transfer Learning](image-classification-api-transfer-learning.md) +- [Image Classification with Model Builder](image-classification-model-builder.md) +- [Image CLassification with Tensorflow Model](image-classification.md) From 3e78c3f9616524ac21e63229138eaa391bd46c7f Mon Sep 17 00:00:00 2001 From: jwood803 Date: Fri, 29 Apr 2022 20:01:05 -0400 Subject: [PATCH 07/15] Update tutorial --- .../tutorials/image-classification-custom-vision-onnx.md | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/docs/machine-learning/tutorials/image-classification-custom-vision-onnx.md b/docs/machine-learning/tutorials/image-classification-custom-vision-onnx.md index 76321d70caab4..92f2ff7b531c1 100644 --- a/docs/machine-learning/tutorials/image-classification-custom-vision-onnx.md +++ b/docs/machine-learning/tutorials/image-classification-custom-vision-onnx.md @@ -1,7 +1,7 @@ --- title: 'Tutorial: ML.NET prediction to categorize images from Custom Vision ONNX model' description: Learn how to categorize images using an ONNX model from the Custom Vision service in ML.NET. -ms.date: 04/18/2022 +ms.date: 04/29/2022 ms.topic: tutorial ms.custom: mvc, title-hack-0612 recommendations: false @@ -19,7 +19,7 @@ In this tutorial, you will learn how to: > * Understand the problem > * Use the Custom Vision service to create an ONNX model > * Incorporate the ONNX model into the ML.NET pipeline -> * Train and evaluate the ML.NET model +> * Train the ML.NET model > * Classify a test image A sample for the ML.NET pipeline and testing of an image can be found [here](). @@ -111,7 +111,7 @@ In order to build our ML.NET pipeline we will need the names of the input and ou - Select the **OK** button on the **Preview Changes** dialog. - Select the **I Accept** button on the **License Acceptance** dialog if you agree with the license terms for the packages listed. - Repeat these steps for **Microsoft.ML.ImageAnalytics**, and **Microsoft.Onnx.Transformer**. - + ## Reference the ONNX model Reference the two files from the ONNX model in the Visual Studio solution - **labels.txt** and **model.onnx**. Right click them and in the properties set the **Copy to output directory** setting to "Copy if newer". @@ -263,7 +263,7 @@ In this tutorial you learned how to: > * Understand the problem > * Use the Custom Vision service to create an ONNX model > * Incorporate the ONNX model into the ML.NET pipeline -> * Train and evaluate the ML.NET model +> * Train the ML.NET model > * Classify a test image Try one of the other image classification tutorials: From 2b2a2758fbb09beb2ae3f661f75e24dfa175b162 Mon Sep 17 00:00:00 2001 From: jwood803 Date: Sun, 5 Jun 2022 15:42:51 -0400 Subject: [PATCH 08/15] Started updating to object detection --- .../netron-image-size.png | Bin 47963 -> 0 bytes .../netron-input-column.png | Bin 47919 -> 0 bytes .../netron-output-column.png | Bin 103504 -> 0 bytes ...=> object-detection-custom-vision-onnx.md} | 31 +++++++----------- 4 files changed, 12 insertions(+), 19 deletions(-) delete mode 100644 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z9b&4;awlA!;devAo&xCDhZ+w%R{H9k;1aNwm&avhN!&9C&oytbafv0Tk+Fb*{4Np* z9=(~m!#`nLah(suUJ9uBOkiEezyo|&9Di_Vga_mQ4 * Use the Custom Vision service to create an ONNX model > * Incorporate the ONNX model into the ML.NET pipeline > * Train the ML.NET model -> * Classify a test image +> * Detect stop signs in test images A sample for the ML.NET pipeline and testing of an image can be found [here](). ## Prerequisites * [Visual Studio 2022](https://visualstudio.microsoft.com/downloads/). -* [Download the dataset](https://data.mendeley.com/datasets/4drtyfjtfy/1) of weather images. +* [Download the dataset](https://aka.ms/mlnet-object-detection-tutorial-dataset) of 50 stop sign images. * Azure account. If you don't have one, [create a free Azure account](https://aka.ms/AMLFree). ## Select the right machine learning task -### Data - -The multi-class weather dataset is used to help analyze outdoor weather. You can download the dataset [here](https://data.mendeley.com/datasets/4drtyfjtfy/1). - -> [!NOTE] -> Ajayi, Gbeminiyi (2018), “Multi-class Weather Dataset for Image Classification”, Mendeley Data, V1, doi: 10.17632/4drtyfjtfy.1 - ## Create the Model ### Create the Custom Vision Project @@ -47,9 +40,9 @@ Log into the [Microsoft Custom Vision service](https://www.customvision.ai/) and In the "New Project" dialog, fill out the following required items: -- Set the "Name" of the Custom Vision project as **WeatherRecognition**. +- Set the "Name" of the Custom Vision project as **StopSignDetection**. - Select the "Resource" you will use. This is an Azure resource that will be created for the Custom Vision project. If none is listed, one can be created by selecting the **Create new** link. -- Set the "Project type" as **Classification**. +- Set the "Project type" as **Object Detection**. - Set the "Classification Types" as **Multiclass** since there will be one class per image. - Set the "Domain" as **General (compact)**. The compact domain will allow you to download the ONNX model. - For "Export capabilities" select **Basic platforms** to allow the export of the ONNX model. @@ -58,13 +51,13 @@ Once the above fields are filled out click the **Create project** button. ### Add images -With the project created, click on the **Add images** button to start adding images for the model to train on. Select the stop sign images in the file browser that will display. +With the project created, click on the **Add images** button to start adding images for the model to train on. Select the stop sign images that was downloaded in the file browser. -A popup will display where you can add tags that to those images. Set the tag as **stop-sign** and click the **Upload** button. Once the images have uploaded click the **Done** button to close the popup. +Select the first image that is shown. You will be able to select objects that are in the image that you want the model to detect. Select the stop sign in the image. A popup will display and set the tag as **stop-sign**. Do this for all of the remaining images. Some images will have more than one stop sign in it so be sure to mark all that are in the images. ### Train the model -With the images uploaded and tagged the model can now be trained. Click on the **Train** button. For the "Training type" select **Quick training** and click on the **Train** button. +With the images uploaded and tagged the model can now be trained. Click on the **Train** button. A popup will display asking what type of training to use. Select **Quick training** and click the **Train** button. @@ -74,7 +67,7 @@ Once training is completed click on the "Export" button. When the popup displays ### Analyze ONNX model -Unzip the ONNX file from Custom Vision. The folder will contain several files, but the two that we will use in this tutorial are the following: +Unzip the ONNX file since it downloads as a zip file. The folder will contain several files, but the two that we will use in this tutorial are the following: - **labels.txt** is a text file containing the labels that were defined in the Custom Vision service. - **model.onnx** is the ONNX model that we will use to make predictions in ML.NET. 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zv)Sp}Hx6eW>L6j{Zfw67=#!9dBf+8sI36@7L63vm){jwjDmv6&S=~`bnc^QbH9kqQ*7!i=|x`- zB}UW0ZqkC=wtrue?ZUb1?XUoeAWRc%g~0$6Go~%lS>Ti;R9`N5aMGb{)x!aHb2gn@a A1ONa4 literal 0 HcmV?d00001 From 2ef88b2f20715025447cead3f32cdd7bdbcc79e4 Mon Sep 17 00:00:00 2001 From: jwood803 Date: Sun, 5 Jun 2022 19:28:44 -0400 Subject: [PATCH 10/15] Add extra steps --- .../object-detection-custom-vision-onnx.md | 200 ++++++++++++++---- 1 file changed, 161 insertions(+), 39 deletions(-) diff --git a/docs/machine-learning/tutorials/object-detection-custom-vision-onnx.md b/docs/machine-learning/tutorials/object-detection-custom-vision-onnx.md index a60059dfe1744..e501e03eddd58 100644 --- a/docs/machine-learning/tutorials/object-detection-custom-vision-onnx.md +++ b/docs/machine-learning/tutorials/object-detection-custom-vision-onnx.md @@ -44,7 +44,7 @@ In the "New Project" dialog, fill out the following required items: - Select the "Resource" you will use. This is an Azure resource that will be created for the Custom Vision project. If none is listed, one can be created by selecting the **Create new** link. - Set the "Project type" as **Object Detection**. - Set the "Classification Types" as **Multiclass** since there will be one class per image. -- Set the "Domain" as **General (compact)**. The compact domain will allow you to download the ONNX model. +- Set the "Domain" as **General (compact) [S1]**. The compact domain will allow you to download the ONNX model. - For "Export capabilities" select **Basic platforms** to allow the export of the ONNX model. Once the above fields are filled out click the **Create project** button. @@ -74,23 +74,23 @@ Unzip the ONNX file since it downloads as a zip file. The folder will contain se In order to build our ML.NET pipeline we will need the names of the input and output column names. To get this we can use Netron, a [web](https://netron.app/) and [desktop](https://github.com/lutzroeder/netron/releases/) app that can analyze ONNX models and show its architecture. -1. When using either the web or desktop app of Netron, open the ONNX model in the app. Once it opens it will display a graph. This graph will tell you a few things that you will need in order to build the ML.NET pipeline. +1. When using either the web or desktop app of Netron, open the ONNX model in the app. Once it opens it will display a graph. This graph will tell you a few things that you will need in order to build the ML.NET pipeline for predictions. - **Input column name** - The input column name required when applying the ONNX model in ML.NET. - ![Netron Input Column](./media/onnx-image-classification/netron-input-column.png) + ![Netron Input Column](./media/object-detection-custom-vision/netron-input-column.png) - **Output column name** - The output column name required when applying the ONNX model in ML.NET. - ![Netron Output Column](./media/onnx-image-classification/netron-output-column.png) + ![Netron Output Column](./media/object-detection-custom-vision/netron-output-columns.png) - **Image size** - The size required when resizing images in the ML.NET pipeline. - ![Netron Image Size](./media/onnx-image-classification/netron-image-size.png) + ![Netron Image Size](./media/object-detection-custom-vision/netron-image-size.png) ## Create a project -1. Create a C# **Console Application** called "WeatherRecognition". Click the **Next** button. +1. Create a C# **Console Application** called "StopSignDetection". Click the **Next** button. 1. Choose .NET 6 as the framework to use. Click the **Create** button. @@ -111,23 +111,49 @@ Reference the two files from the ONNX model in the Visual Studio solution - **la ## Create input and prediction classes -1. Add a new class to your project and name it 'WeatherRecognitionInput'. Then add the following property to the class. +1. Add a new class to your project and name it 'StopSignInput'. Then add the following struct to the class. ```csharp - [ImageType(300, 300)] - public Bitmap Image { get; set; } + public struct ImageSettings + { + public const int imageHeight = 320; + public const int imageWidth = 320; + } + ``` + +1. Next, add the following property to the class. + + ```csharp + public class StopSignInput + { + [ImageType(ImageSettings.imageHeight, ImageSettings.imageWidth)] + public Bitmap Image { get; set; } + } ``` - The `Image` property contains the bitmap of the image used for prediction. And the `ImageType` attribute tells ML.NET that the property is an image with dimensions of 300 and 300 which was determined by what we saw in Netron when analyzing the model. + The `Image` property contains the bitmap of the image used for prediction. And the `ImageType` attribute tells ML.NET that the property is an image with dimensions of 320 and 320 which was determined by what we saw in Netron when analyzing the model. -1. Add another class to your project and name it 'WeatherRecognitionPrediction'. Then add the following property to the class. +1. Add another class to your project and name it 'StopSignPrediction'. Then add the following property to the class. ```csharp - [ColumnName("model_output")] - public float[] PredictedLabels { get; set; } + public class StopSignPrediction + { + [ColumnName("detected_classes")] + public long[] PredictedLabels { get; set; } + + [ColumnName("detected_boxes")] + public float[] BoundingBoxes { get; set; } + + [ColumnName("detected_scores")] + public float[] Scores { get; set; } + } ``` - The `PredictedLabels` property contains the predictions of each labels. The type is a float array, so each item in the array will be the prediction of each label. The `ColumnName` attribute tells ML.NET that this column in the model is the name given, which is `model_output`. + The `PredictedLabels` property contains the predictions of labels for each detected object. The type is a float array, so each item in the array will be the prediction of each label. The `ColumnName` attribute tells ML.NET that this column in the model is the name given, which is `detected_classes`. + + The `BoundingBoxes` property contains the bounding boxes for each detected object. The type is a float array and each detected object will come in with four items in the array for the bounding box. The `ColumnName` attribute tells ML.NET that this column in the model is the name give, which is `detected_boxes`. + + The `Scores` property contains the confidence scores of each predicted object and its label. The type is a float array, so each item in the array will be the confidence score of each label. The `ColumnName` attribute tells ML.NET that this column in the model is the name give, which is `detected_scores`. ## Predict on an image @@ -150,16 +176,17 @@ using WeatherRecognition; var context = new MLContext(); ``` -1. Create an empty list of the `WeatherRecognitionInput` class. +1. Create an `IDataView` with an new empty `StopSignInput` list. ```csharp - var emptyData = new List(); + var data = context.Data.LoadFromEnumerable(new List()); ``` -1. Create an `IDataView` on the `WeatherRecognitionInput` list. +1. For consistency, we will save our predicted images to the assembly path. ```csharp - var data = context.Data.LoadFromEnumerable(emptyData); + var root = new FileInfo(typeof(Program).Assembly.Location); + var assemblyFolderPath = root.Directory.FullName; ``` ## Build the pipeline @@ -168,10 +195,10 @@ With the empty `IDataView` created the pipeline can be built to do the predictio 1. Resize the incoming images. -The image being sent to the model for prediction will often be in a different aspect ratio as the images that were trained on the model. To keep the image consistent for accurate predictions, we resize the image to 300x300. We also give the `imageColumnName` as the name of the `WeatherRecognitionInput.Image` property. We do this with the `context.Transforms.ResizeImages` method. This method is an extension method from the `Microsoft.ML.ImageAnalytics` NuGet package. +The image being sent to the model for prediction will often be in a different aspect ratio as the images that were trained on the model. To keep the image consistent for accurate predictions, we resize the image to 320x320. We also give the `imageColumnName` as the name of the `StopSignInput.Image` property. We do this with the `context.Transforms.ResizeImages` method. This method is an extension method from the `Microsoft.ML.ImageAnalytics` NuGet package. ```csharp -var pipeline = context.Transforms.ResizeImages(resizing: ImageResizingEstimator.ResizingKind.Fill, outputColumnName: "data", imageWidth: 300, imageHeight: 300, inputColumnName: nameof(WeatherRecognitionInput.Image)) +var pipeline = context.Transforms.ResizeImages(resizing: ImageResizingEstimator.ResizingKind.Fill, outputColumnName: "image_tensor", imageWidth: ImageSettings.imageWidth, imageHeight: ImageSettings.imageHeight, inputColumnName: nameof(StopSignInput.Image)) ``` 1. Extract the pixels of the image @@ -179,17 +206,17 @@ var pipeline = context.Transforms.ResizeImages(resizing: ImageResizingEstimator. Once the image has been resized, we would need to extract the pixels of the image. We append the `context.Transforms.ExtractPixels` method that is also an extension method from the `Microsoft.ML.ImageAnalytics` NuGet package. We give it an `outputColumnName` as a parameter. ```csharp -.Append(context.Transforms.ExtractPixels(outputColumnName: "data")) +.Append(context.Transforms.ExtractPixels(outputColumnName: "image_tensor")) ``` 1. Apply the ONNX model to the image to make a prediction. This takes a few parameters: - **modelFile** - The path to the ONNX model file - - **outputColumnName** - The name of the output column name, which can be found when analyzing the ONNX model in Netron. - - **inputColumnName** - The name of the input column name, which can also be found when analyzing the ONNX model in Netron. + - **outputColumnNames** - A string array containing the names of all of the output column names, which can be found when analyzing the ONNX model in Netron. + - **inputColumnNames** - A string array containing the names of all of the input column name, which can also be found when analyzing the ONNX model in Netron. ```csharp -.Append(context.Transforms.ApplyOnnxModel(modelFile: "./model/model.onnx", outputColumnName: "model_output", inputColumnName: "data")); +.Append(context.Transforms.ApplyOnnxModel(outputColumnNames: new string[] { "detected_boxes", "detected_scores", "detected_classes" }, inputColumnNames: new string[] { "image_tensor" }, modelFile: "./Model/model.onnx")); ``` ## Fit the model @@ -203,14 +230,14 @@ var model = pipeline.Fit(data); Next, in order to make predictions, we would need to create a prediction engine. This is a generic method, so it will take in the input and output classes that were created earlier. Then, pass in the model as its parameter. ```csharp -var predictionEngine = context.Model.CreatePredictionEngine(model); +var predictionEngine = context.Model.CreatePredictionEngine(model); ``` ## Extract the labels In order to get accurate predictions, we would need to extract the labels that we also got from Custom Vision. This will be in the **labels.txt** file that was included in the zip file along with the ONNX model. -To read the file we'll use the `File.ReadAllLines` method. This will return the labels as an array. +To read the file we'll use the `File.ReadAllLines` method. This will return the labels as a string array. ```csharp var labels = File.ReadAllLines("./model/labels.txt"); @@ -218,34 +245,129 @@ var labels = File.ReadAllLines("./model/labels.txt"); ## Predict on a test image -Now we can use the model to predict on a new image. In the project, there is a "test" folder that we can read from to get all test images to predict on. This folder contains a sunrise image from [Unsplash](https://unsplash.com/) To get those images, we use the `Directory.GetFiles` method. +Now we can use the model to predict on a new image. In the project, there is a "test" folder that we can read from to get all test images to predict on. This folder contains two random images with a stop sign in it from [Unsplash](https://unsplash.com/). One image has one stop sign while the other has two stop signs. To get those images, we use the `Directory.GetFiles` method. ```csharp var testFiles = Directory.GetFiles("./test"); ``` -With the test files retrieved, we can loop through them and make a prediction on them with our model and output the result. +With the test files retrieved, we can loop through them and make a prediction with our model and output the result. -```csharp -Bitmap testImage; +1. Create a for loop like the below code to loop through the test images. + + ```csharp + Bitmap testImage; + + foreach (var image in testFiles) + { + + } + ``` -foreach (var image in testFiles) -{ +In the following code blocks, we will be adding within the `foreach` loop. + +1. First, we will generate the predicted image name based on the name of the test image. + + ```csharp + var predictedImage = $"{Path.GetFileName(image)}-predicted.jpg"; + ``` + +1. Next, we will create a `FileStream` of our image and convert it to a `Bitmap`. + + ```csharp using (var stream = new FileStream(image, FileMode.Open)) { testImage = (Bitmap)Image.FromStream(stream); } + ``` + +1. Now we can call the `Predict` method on the prediction engine. + + ```csharp + var prediction = predictionEngine.Predict(new StopSignInput { Image = testImage }); + ``` - var prediction = predictionEngine.Predict(new WeatherRecognitionInput { Image = testImage }); +1. With our prediction, we can get the bounding boxes. We will use the `Chunk` LINQ method to determine how many objects the model has detected. We do this by taking the count of the predicted bounding boxes and divide that by the number of labels that were predicted. For example, if we had three objects detected in an image, there would be 12 items in the `BoundingBoxes` array and three labels predicted. The `Chunk` method would then give us three arrays of four to represent the bounding boxes for each object. - var maxValue = prediction.PredictedLabels.Max(); - var maxIndex = prediction.PredictedLabels.ToList().IndexOf(maxValue); + ```csharp + var boundingBoxes = prediction.BoundingBoxes.Chunk(prediction.BoundingBoxes.Count() / prediction.PredictedLabels.Count()); + ``` - var predictedLabel = labels[maxIndex]; +1. Next, we will capture the original width and height of the images used for prediction. - Console.WriteLine($"Prediction for file {image}: {predictedLabel}"); -} -``` + ```csharp + var originalWidth = testImage.Width; + var originalHeight = testImage.Height; + ``` + +1. With the bounding boxes chunk, we can loop through those to calculate where in the image to draw the boxes. For that, create a `for` loop based on the count of the bounding boxes chunk. + + ```csharp + for (int i = 0; i < boundingBoxes.Count(); i++) + { + } + ``` + +1. Within the `for` loop we will perform some calculations to get the position of the x, y, width, and height of the box for us to draw on the image. The first thing we need to do is to get the set of bounding boxes. We can do this by using the `ElementAt` method. + + ```csharp + var boundingBox = boundingBoxes.ElementAt(i); + ``` + +1. With the current bounding box, we can now calculate where to draw the box. We will use the original image width for the first and third elements of the bounding box, and the original image height for the second and fourth elements. + + ```csharp + var left = boundingBox[0] * originalWidth; + var top = boundingBox[1] * originalHeight; + var right = boundingBox[2] * originalWidth; + var bottom = boundingBox[3] * originalHeight; + ``` + +1. Now we can calculate the width and the height of the box to draw around the detected object within the image. The x and y items will be the `left` and `top` variables from the previous calculation. We will use the `Math.Abs` method to get the absolute value from the width and height calculations in case it is negative. + + ```csharp + var x = left; + var y = top; + var width = Math.Abs(right - left); + var height = Math.Abs(top - bottom); + ``` + +1. Next, we can get the predicted label from the "labels" file we read in earlier. + + ```csharp + var label = labels[prediction.PredictedLabels[i]]; + ``` + +1. Now we can create a graphic based on the test image using the `Graphics.FromImage` method. + + ```csharp + using var graphics = Graphics.FromImage(testImage); + ``` + +1. With all of the bounding box information calculated, we can draw on the image. We will draw the rectangle around the detected objects using the `graphics.DrawRectangle` method that takes in a `Pen` object to determine the color and width of the rectangle, and we pass in the `x`, `y`, `width`, and `height` variables. + + ```csharp + graphics.DrawRectangle(new Pen(Color.NavajoWhite, 8), x, y, width, height); + ``` + +1. Then, we can display the predicted label inside the box with the `graphics.DrawString` method that takes in the string to print out and a `Font` object to determine how to draw the string and where to place it. + + ```csharp + graphics.DrawString(label, new Font(FontFamily.Families[0], 18f), Brushes.NavajoWhite, x + 5, y + 5); + ``` + +This will now exit the `for` loop. + +1. After the `for` loop, we will check if the predicted file already exist. If it does, we will delete it. Then, we will save it to the assembly path. + + ```csharp + if (File.Exists(predictedImage)) + { + File.Delete(predictedImage); + } + + testImage.Save(Path.Combine(assemblyFolderPath, predictedImage)); + ``` ## Next steps From 1aabe6bf78e6f622f09cd4269d7344f09abeea8e Mon Sep 17 00:00:00 2001 From: jwood803 Date: Sun, 5 Jun 2022 19:53:39 -0400 Subject: [PATCH 11/15] Fix trailing space --- .../tutorials/object-detection-custom-vision-onnx.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/machine-learning/tutorials/object-detection-custom-vision-onnx.md b/docs/machine-learning/tutorials/object-detection-custom-vision-onnx.md index e501e03eddd58..ea2e8606b7653 100644 --- a/docs/machine-learning/tutorials/object-detection-custom-vision-onnx.md +++ b/docs/machine-learning/tutorials/object-detection-custom-vision-onnx.md @@ -251,7 +251,7 @@ Now we can use the model to predict on a new image. In the project, there is a " var testFiles = Directory.GetFiles("./test"); ``` -With the test files retrieved, we can loop through them and make a prediction with our model and output the result. +With the test files retrieved, we can loop through them and make a prediction with our model and output the result. 1. Create a for loop like the below code to loop through the test images. From e60139eb1ff7ecee94d33401d0e9f4befeaa2ecf Mon Sep 17 00:00:00 2001 From: Genevieve Warren <24882762+gewarren@users.noreply.github.com> Date: Sat, 18 May 2024 20:26:14 -0700 Subject: [PATCH 12/15] Apply suggestions from code review Co-authored-by: Luis Quintanilla <46974588+luisquintanilla@users.noreply.github.com> --- .../object-detection-custom-vision-onnx.md | 60 +++++++++---------- 1 file changed, 30 insertions(+), 30 deletions(-) diff --git a/docs/machine-learning/tutorials/object-detection-custom-vision-onnx.md b/docs/machine-learning/tutorials/object-detection-custom-vision-onnx.md index ea2e8606b7653..f1c29758a0d1e 100644 --- a/docs/machine-learning/tutorials/object-detection-custom-vision-onnx.md +++ b/docs/machine-learning/tutorials/object-detection-custom-vision-onnx.md @@ -65,14 +65,14 @@ A popup will display asking what type of training to use. Select **Quick trainin Once training is completed click on the "Export" button. When the popup displays click on the "ONNX" selection to download the ONNX model. -### Analyze ONNX model +## Inspect ONNX model Unzip the ONNX file since it downloads as a zip file. The folder will contain several files, but the two that we will use in this tutorial are the following: - **labels.txt** is a text file containing the labels that were defined in the Custom Vision service. - **model.onnx** is the ONNX model that we will use to make predictions in ML.NET. -In order to build our ML.NET pipeline we will need the names of the input and output column names. To get this we can use Netron, a [web](https://netron.app/) and [desktop](https://github.com/lutzroeder/netron/releases/) app that can analyze ONNX models and show its architecture. +In order to build our ML.NET pipeline you will need the names of the input and output column names. To get this information use Netron, a [web](https://netron.app/) and [desktop](https://github.com/lutzroeder/netron/releases/) app that can analyze ONNX models and show their architecture. 1. When using either the web or desktop app of Netron, open the ONNX model in the app. Once it opens it will display a graph. This graph will tell you a few things that you will need in order to build the ML.NET pipeline for predictions. @@ -88,7 +88,7 @@ In order to build our ML.NET pipeline we will need the names of the input and ou ![Netron Image Size](./media/object-detection-custom-vision/netron-image-size.png) -## Create a project +## Create a C# console project 1. Create a C# **Console Application** called "StopSignDetection". Click the **Next** button. @@ -155,11 +155,11 @@ Reference the two files from the ONNX model in the Visual Studio solution - **la The `Scores` property contains the confidence scores of each predicted object and its label. The type is a float array, so each item in the array will be the confidence score of each label. The `ColumnName` attribute tells ML.NET that this column in the model is the name give, which is `detected_scores`. -## Predict on an image +## Use the model to make predictions ### Add using statements -In the "Program.cs" file, add the following usings to the top of the file. +In the *Program.cs* file, add the following usings to the top of the file. ```csharp using Microsoft.ML; @@ -182,7 +182,7 @@ using WeatherRecognition; var data = context.Data.LoadFromEnumerable(new List()); ``` -1. For consistency, we will save our predicted images to the assembly path. +1. For consistency, save the predicted images to the assembly path. ```csharp var root = new FileInfo(typeof(Program).Assembly.Location); @@ -195,7 +195,7 @@ With the empty `IDataView` created the pipeline can be built to do the predictio 1. Resize the incoming images. -The image being sent to the model for prediction will often be in a different aspect ratio as the images that were trained on the model. To keep the image consistent for accurate predictions, we resize the image to 320x320. We also give the `imageColumnName` as the name of the `StopSignInput.Image` property. We do this with the `context.Transforms.ResizeImages` method. This method is an extension method from the `Microsoft.ML.ImageAnalytics` NuGet package. +The image being sent to the model for prediction will often be in a different aspect ratio as the images that were trained on the model. To keep the image consistent for accurate predictions, resize the image to 320x320. To do so, use the `ResizeImages` method and set the `imageColumnName` as the name of the `StopSignInput.Image` property. ```csharp var pipeline = context.Transforms.ResizeImages(resizing: ImageResizingEstimator.ResizingKind.Fill, outputColumnName: "image_tensor", imageWidth: ImageSettings.imageWidth, imageHeight: ImageSettings.imageHeight, inputColumnName: nameof(StopSignInput.Image)) @@ -203,7 +203,7 @@ var pipeline = context.Transforms.ResizeImages(resizing: ImageResizingEstimator. 1. Extract the pixels of the image -Once the image has been resized, we would need to extract the pixels of the image. We append the `context.Transforms.ExtractPixels` method that is also an extension method from the `Microsoft.ML.ImageAnalytics` NuGet package. We give it an `outputColumnName` as a parameter. +Once the image has been resized, you need to extract the pixels of the image. Append the `ExtractPixels` method to your pipeline and specify the name of the column to output the pixels to using the `outputColumnName` parameter. ```csharp .Append(context.Transforms.ExtractPixels(outputColumnName: "image_tensor")) @@ -221,13 +221,13 @@ Once the image has been resized, we would need to extract the pixels of the imag ## Fit the model -Now that we have a pipeline defined, we need to use it to build the ML.NET model. We first would use the `Fit` method on the pipeline and pass in the `IDataView` that was built off the empty list of `WeatherRecognitionInput` objects. +Now that you've defined a pipeline, use it to build the ML.NET model. Use the `Fit` method on the pipeline and pass in the empty `IDataView`. ```csharp var model = pipeline.Fit(data); ``` -Next, in order to make predictions, we would need to create a prediction engine. This is a generic method, so it will take in the input and output classes that were created earlier. Then, pass in the model as its parameter. +Next, to make predictions, use the model to create a prediction engine. This is a generic method, so it takes in the `StopSignInput` and `StopSignPrediction` classes that were created earlier. ```csharp var predictionEngine = context.Model.CreatePredictionEngine(model); @@ -235,9 +235,9 @@ var predictionEngine = context.Model.CreatePredictionEngine Date: Sat, 18 May 2024 22:34:14 -0700 Subject: [PATCH 13/15] add to toc/index and other improvements --- docs/machine-learning/toc.yml | 24 ++- docs/machine-learning/tutorials/index.md | 27 +-- .../object-detection-custom-vision-onnx.md | 188 ++++++++---------- 3 files changed, 110 insertions(+), 129 deletions(-) diff --git a/docs/machine-learning/toc.yml b/docs/machine-learning/toc.yml index dc2807636777d..307c0ca0ac367 100644 --- a/docs/machine-learning/toc.yml +++ b/docs/machine-learning/toc.yml @@ -22,22 +22,24 @@ items: href: whats-new/overview.md - name: Tutorials items: - - name: Model Builder & CLI + - name: Model Builder items: - - name: Predict prices (Model Builder value prediction) + - name: Predict prices (value prediction) href: tutorials/predict-prices-with-model-builder.md - - name: Analyze sentiment using the ML.NET CLI - href: tutorials/sentiment-analysis-cli.md - - name: Analyze sentiment in Razor Pages (Model Builder text classification) + - name: Analyze sentiment in Razor Pages (text classification) href: tutorials/sentiment-analysis-model-builder.md - - name: Categorize health violations (Model Builder data classification) + - name: Categorize health violations (data classification) href: tutorials/health-violation-classification-model-builder.md - - name: Categorize land use from satellite images (Model Builder image classification) + - name: Categorize land use from satellite images (image classification) href: tutorials/image-classification-model-builder.md - - name: Detect traffic signs (Model Builder object detection) + - name: Detect traffic signs (object detection) href: tutorials/object-detection-model-builder.md - - name: Train a recommendation model using Model Builder + - name: Train a recommendation model href: tutorials/movie-recommendation-model-builder.md + - name: CLI + items: + - name: Analyze sentiment + href: tutorials/sentiment-analysis-cli.md - name: API items: - name: Overview @@ -64,6 +66,8 @@ items: href: tutorials/sales-anomaly-detection.md - name: Detect objects in images (object detection) href: tutorials/object-detection-onnx.md + - name: Detect objects in images from Custom Vision ONNX model + href: tutorials/object-detection-custom-vision-onnx.md - name: Classify sentiment using TensorFlow (text classification) href: tutorials/text-classification-tf.md - name: Infer.NET @@ -123,7 +127,7 @@ items: href: how-to-guides/inspect-intermediate-data-ml-net.md - name: Determine model feature importance with PFI href: how-to-guides/explain-machine-learning-model-permutation-feature-importance-ml-net.md - - name: Use the trained model + - name: Use a trained model items: - name: Save and load a model href: how-to-guides/save-load-machine-learning-models-ml-net.md diff --git a/docs/machine-learning/tutorials/index.md b/docs/machine-learning/tutorials/index.md index e4f5d0d69f2a7..d65887573ddb4 100644 --- a/docs/machine-learning/tutorials/index.md +++ b/docs/machine-learning/tutorials/index.md @@ -1,22 +1,23 @@ --- title: ML.NET tutorials description: Explore the ML.NET tutorials to learn how to build custom AI solutions and integrate them into your .NET applications. -ms.date: 07/08/2019 +ms.date: 05/18/2024 --- # ML.NET tutorials -The following tutorials enable you to understand how to use [ML.NET](../index.yml) to build custom machine learning solutions and integrate them into your .NET applications: +The following tutorials help you understand how to use [ML.NET](../index.yml) to build custom machine learning solutions and integrate them into your .NET applications: -- [Sentiment analysis](sentiment-analysis.md): demonstrates how to apply a **binary classification** task using ML.NET. -- [GitHub issue classification](github-issue-classification.md): demonstrates how to apply a **multiclass classification** task using ML.NET. -- [Price predictor](predict-prices.md): demonstrates how to apply a **regression** task using ML.NET. -- [Iris clustering](iris-clustering.md): demonstrates how to apply a **clustering** task using ML.NET. -- [Recommendation](movie-recommendation.md): generate movie **recommendations** based on previous user ratings -- [Image classification](image-classification.md): demonstrates how to retrain an existing TensorFlow model to create a custom image classifier using ML.NET. -- [Anomaly detection](sales-anomaly-detection.md): demonstrates how to build an anomaly detection application for product sales data analysis. -- [Detect objects in images](object-detection-onnx.md): demonstrates how to detect objects in images using a pre-trained ONNX model. -- [Classify sentiment of movie reviews](text-classification-tf.md): learn to load a pre-trained TensorFlow model to classify the sentiment of movie reviews. +- [Sentiment analysis](sentiment-analysis.md): Apply a **binary classification** task using ML.NET. +- [GitHub issue classification](github-issue-classification.md): Apply a **multiclass classification** task using ML.NET. +- [Price predictor](predict-prices.md): Apply a **regression** task using ML.NET. +- [Iris clustering](iris-clustering.md): Apply a **clustering** task using ML.NET. +- [Recommendation](movie-recommendation.md): Generate movie **recommendations** based on previous user ratings +- [Image classification](image-classification.md): Retrain an existing TensorFlow model to create a custom image classifier using ML.NET. +- [Anomaly detection](sales-anomaly-detection.md): Build an anomaly detection application for product sales data analysis. +- [Detect objects in images](object-detection-onnx.md): Detect objects in images using a pre-trained ONNX model. +- [Categorize an image from Custom Vision ONNX model](tutorials/object-detection-custom-vision-onnx.md): Detect objects in images using an ONNX model trained in the Microsoft Custom Vision service. +- [Classify sentiment of movie reviews](text-classification-tf.md): Load a pretrained TensorFlow model to classify the sentiment of movie reviews. -## Next Steps +## Next steps -For more examples that use ML.NET, check out the [dotnet/machinelearning-samples](https://github.com/dotnet/machinelearning-samples) GitHub repository. +For more examples that use ML.NET, see the [dotnet/machinelearning-samples](https://github.com/dotnet/machinelearning-samples) GitHub repository. diff --git a/docs/machine-learning/tutorials/object-detection-custom-vision-onnx.md b/docs/machine-learning/tutorials/object-detection-custom-vision-onnx.md index f1c29758a0d1e..082d6ff0df46a 100644 --- a/docs/machine-learning/tutorials/object-detection-custom-vision-onnx.md +++ b/docs/machine-learning/tutorials/object-detection-custom-vision-onnx.md @@ -1,9 +1,8 @@ --- title: 'Tutorial: ML.NET prediction to detect objects in images from a Custom Vision ONNX model' -description: Learn how to detect objects in images using an ONNX model from the Custom Vision service in ML.NET. +description: Learn how to detect objects in images using an ONNX model from the Custom Vision service in ML.NET. ms.date: 06/05/2022 ms.topic: tutorial -ms.custom: mvc, title-hack-0612 recommendations: false #Customer intent: As a developer, I want to use ML.NET to categorize images using an ONNX model trained in the Custom Vision service. --- @@ -11,107 +10,98 @@ recommendations: false Learn how to use ML.NET to detect objects in images using an ONNX model trained in the Microsoft Custom Vision service. -The Microsoft Custom Vision service is an AI service that allows you to upload your own images and it will train a model for you. You can then export the model to ONNX format and use it in ML.NET to make predictions. +The Microsoft Custom Vision service is an AI service that trains a model based on images that you upload. You can then export the model to ONNX format and use it in ML.NET to make predictions. + +In this tutorial, you learn how to: -In this tutorial, you will learn how to: > [!div class="checklist"] > -> * Understand the problem -> * Use the Custom Vision service to create an ONNX model -> * Incorporate the ONNX model into the ML.NET pipeline -> * Train the ML.NET model -> * Detect stop signs in test images - -A sample for the ML.NET pipeline and testing of an image can be found [here](). +> - Use the Custom Vision service to create an ONNX model +> - Incorporate the ONNX model into the ML.NET pipeline +> - Train the ML.NET model +> - Detect stop signs in test images ## Prerequisites -* [Visual Studio 2022](https://visualstudio.microsoft.com/downloads/). -* [Download the dataset](https://aka.ms/mlnet-object-detection-tutorial-dataset) of 50 stop sign images. -* Azure account. If you don't have one, [create a free Azure account](https://aka.ms/AMLFree). - -## Select the right machine learning task +- [Visual Studio 2022](https://visualstudio.microsoft.com/downloads/). +- [Download the dataset](https://aka.ms/mlnet-object-detection-tutorial-dataset) of 50 stop-sign images. +- Azure account. If you don't have one, [create a free Azure account](https://aka.ms/AMLFree). -## Create the Model +## Create the model -### Create the Custom Vision Project +### Create the Custom Vision project -Log into the [Microsoft Custom Vision service](https://www.customvision.ai/) and select "New Project". +Log into the [Microsoft Custom Vision service](https://www.customvision.ai/) and select **New Project**. -In the "New Project" dialog, fill out the following required items: +In the **New Project** dialog, fill out the following required items: -- Set the "Name" of the Custom Vision project as **StopSignDetection**. -- Select the "Resource" you will use. This is an Azure resource that will be created for the Custom Vision project. If none is listed, one can be created by selecting the **Create new** link. -- Set the "Project type" as **Object Detection**. -- Set the "Classification Types" as **Multiclass** since there will be one class per image. -- Set the "Domain" as **General (compact) [S1]**. The compact domain will allow you to download the ONNX model. -- For "Export capabilities" select **Basic platforms** to allow the export of the ONNX model. +- Set the **Name** of the Custom Vision project as **StopSignDetection**. +- Select the **Resource** you'll use. This is an Azure resource that will be created for the Custom Vision project. If none is listed, one can be created by selecting the **Create new** link. +- Set the **Project type** as **Object Detection**. +- Set the **Classification Types** as **Multiclass** since there will be one class per image. +- Set the **Domain** as **General (compact) \[S1]**. The compact domain allows you to download the ONNX model. +- For **Export capabilities**, select **Basic platforms** to allow the export of the ONNX model. -Once the above fields are filled out click the **Create project** button. +Once the above fields are filled out, select **Create project**. ### Add images -With the project created, click on the **Add images** button to start adding images for the model to train on. Select the stop sign images that was downloaded in the file browser. - -Select the first image that is shown. You will be able to select objects that are in the image that you want the model to detect. Select the stop sign in the image. A popup will display and set the tag as **stop-sign**. Do this for all of the remaining images. Some images will have more than one stop sign in it so be sure to mark all that are in the images. +1. With the project created, choose **Add images** to start adding images for the model to train on. Select the stop-sign images that you downloaded. +1. Select the first image that's shown. You can select objects in the image that you want the model to detect. Select the stop sign in the image. A popup displays and sets the tag as **stop-sign**. +1. Repeat for all of the remaining images. Some images have more than one stop sign, so be sure to mark all that are in the images. ### Train the model -With the images uploaded and tagged the model can now be trained. Click on the **Train** button. +With the images uploaded and tagged, the model can now be trained. Select **Train**. -A popup will display asking what type of training to use. Select **Quick training** and click the **Train** button. +A popup displays asking what type of training to use. Choose **Quick training** and then select **Train**. ### Download the ONNX model -Once training is completed click on the "Export" button. When the popup displays click on the "ONNX" selection to download the ONNX model. +Once training is completed, click on the **Export** button. When the popup displays, select **ONNX** to download the ONNX model. ## Inspect ONNX model -Unzip the ONNX file since it downloads as a zip file. The folder will contain several files, but the two that we will use in this tutorial are the following: +Unzip the downloaded ONNX file. The folder contains several files, but the two that you'll use in this tutorial are: -- **labels.txt** is a text file containing the labels that were defined in the Custom Vision service. -- **model.onnx** is the ONNX model that we will use to make predictions in ML.NET. +- **labels.txt**, which is a text file containing the labels that were defined in the Custom Vision service. +- **model.onnx**, which is the ONNX model that you'll use to make predictions in ML.NET. -In order to build our ML.NET pipeline you will need the names of the input and output column names. To get this information use Netron, a [web](https://netron.app/) and [desktop](https://github.com/lutzroeder/netron/releases/) app that can analyze ONNX models and show their architecture. +To build the ML.NET pipeline, you'll need the names of the input and output column names. To get this information, use Netron, a [web](https://netron.app/) and [desktop](https://github.com/lutzroeder/netron/releases/) app that can analyze ONNX models and show their architecture. -1. When using either the web or desktop app of Netron, open the ONNX model in the app. Once it opens it will display a graph. This graph will tell you a few things that you will need in order to build the ML.NET pipeline for predictions. +1. When using either the web or desktop app of Netron, open the ONNX model in the app. Once it opens, it displays a graph. This graph tells you a few things that you'll need to build the ML.NET pipeline for predictions. - - **Input column name** - The input column name required when applying the ONNX model in ML.NET. + - **Input column name** - The input column name required when applying the ONNX model in ML.NET. - ![Netron Input Column](./media/object-detection-custom-vision/netron-input-column.png) + ![Netron Input Column](./media/object-detection-custom-vision/netron-input-column.png) - - **Output column name** - The output column name required when applying the ONNX model in ML.NET. + - **Output column name** - The output column name required when applying the ONNX model in ML.NET. - ![Netron Output Column](./media/object-detection-custom-vision/netron-output-columns.png) + ![Netron Output Column](./media/object-detection-custom-vision/netron-output-columns.png) - - **Image size** - The size required when resizing images in the ML.NET pipeline. + - **Image size** - The size required when resizing images in the ML.NET pipeline. - ![Netron Image Size](./media/object-detection-custom-vision/netron-image-size.png) + ![Netron Image Size](./media/object-detection-custom-vision/netron-image-size.png) ## Create a C# console project -1. Create a C# **Console Application** called "StopSignDetection". Click the **Next** button. - -1. Choose .NET 6 as the framework to use. Click the **Create** button. +1. In Visual Studio, create a C# Console Application called "StopSignDetection". Choose .NET 6 as the target framework. -1. Install the **Microsoft.ML NuGet Package**: +1. Install the following NuGet packages for the project: - [!INCLUDE [mlnet-current-nuget-version](../../../includes/mlnet-current-nuget-version.md)] + [!INCLUDE [mlnet-current-nuget-version](../../../includes/mlnet-current-nuget-version.md)] - - In Solution Explorer, right-click on your project and select **Manage NuGet Packages**. - - Choose "nuget.org" as the Package source, select the Browse tab, search for **Microsoft.ML**. - - Select the **Install** button. - - Select the **OK** button on the **Preview Changes** dialog. - - Select the **I Accept** button on the **License Acceptance** dialog if you agree with the license terms for the packages listed. - - Repeat these steps for **Microsoft.ML.ImageAnalytics**, and **Microsoft.Onnx.Transformer**. + - **Microsoft.ML** + - **Microsoft.ML.ImageAnalytics** + - **Microsoft.Onnx.Transformer** ## Reference the ONNX model -Reference the two files from the ONNX model in the Visual Studio solution - **labels.txt** and **model.onnx**. Right click them and in the properties set the **Copy to output directory** setting to "Copy if newer". +Find the two files from the ONNX model (*labels.txt* and *model.onnx*) in the Visual Studio **Solution Explorer**. Right-click them and, in the Properties window, set **Copy to output directory** to **Copy if newer**. ## Create input and prediction classes -1. Add a new class to your project and name it 'StopSignInput'. Then add the following struct to the class. +1. Add a new class to your project and name it `StopSignInput`. Then, add the following struct to the class: ```csharp public struct ImageSettings @@ -131,9 +121,9 @@ Reference the two files from the ONNX model in the Visual Studio solution - **la } ``` - The `Image` property contains the bitmap of the image used for prediction. And the `ImageType` attribute tells ML.NET that the property is an image with dimensions of 320 and 320 which was determined by what we saw in Netron when analyzing the model. + The `Image` property contains the bitmap of the image used for prediction. The `ImageType` attribute tells ML.NET that the property is an image with dimensions of 320 and 320, which was determined using Netron. -1. Add another class to your project and name it 'StopSignPrediction'. Then add the following property to the class. +1. Add another class to your project and name it `StopSignPrediction`. Then, add the following properties to the class. ```csharp public class StopSignPrediction @@ -149,17 +139,17 @@ Reference the two files from the ONNX model in the Visual Studio solution - **la } ``` - The `PredictedLabels` property contains the predictions of labels for each detected object. The type is a float array, so each item in the array will be the prediction of each label. The `ColumnName` attribute tells ML.NET that this column in the model is the name given, which is `detected_classes`. + The `PredictedLabels` property contains the predictions of labels for each detected object. The type is a float array, so each item in the array is the prediction of each label. The `ColumnName` attribute tells ML.NET that this column in the model is the name given, which is `detected_classes`. - The `BoundingBoxes` property contains the bounding boxes for each detected object. The type is a float array and each detected object will come in with four items in the array for the bounding box. The `ColumnName` attribute tells ML.NET that this column in the model is the name give, which is `detected_boxes`. + The `BoundingBoxes` property contains the bounding boxes for each detected object. The type is a float array and each detected object comes in with four items in the array for the bounding box. The `ColumnName` attribute tells ML.NET that this column in the model is the name given, which is `detected_boxes`. - The `Scores` property contains the confidence scores of each predicted object and its label. The type is a float array, so each item in the array will be the confidence score of each label. The `ColumnName` attribute tells ML.NET that this column in the model is the name give, which is `detected_scores`. + The `Scores` property contains the confidence scores of each predicted object and its label. The type is a float array, so each item in the array is the confidence score of each label. The `ColumnName` attribute tells ML.NET that this column in the model is the name given, which is `detected_scores`. ## Use the model to make predictions -### Add using statements +### Add using directives -In the *Program.cs* file, add the following usings to the top of the file. +In the *Program.cs* file, add the following `using` directives to the top of the file. ```csharp using Microsoft.ML; @@ -170,7 +160,7 @@ using WeatherRecognition; ### Create objects -1. Below the using statements create the `MLContext` object. +1. Create the `MLContext` object. ```csharp var context = new MLContext(); @@ -191,23 +181,23 @@ using WeatherRecognition; ## Build the pipeline -With the empty `IDataView` created the pipeline can be built to do the predictions of any new images. The pipeline will consist of several steps. +With the empty `IDataView` created, the pipeline can be built to do the predictions of any new images. The pipeline consists of several steps: 1. Resize the incoming images. -The image being sent to the model for prediction will often be in a different aspect ratio as the images that were trained on the model. To keep the image consistent for accurate predictions, resize the image to 320x320. To do so, use the `ResizeImages` method and set the `imageColumnName` as the name of the `StopSignInput.Image` property. + The image being sent to the model for prediction will often be in a different aspect ratio to the images that were trained on the model. To keep the image consistent for accurate predictions, resize the image to 320x320. To do so, use the `ResizeImages` method and set the `imageColumnName` as the name of the `StopSignInput.Image` property. -```csharp -var pipeline = context.Transforms.ResizeImages(resizing: ImageResizingEstimator.ResizingKind.Fill, outputColumnName: "image_tensor", imageWidth: ImageSettings.imageWidth, imageHeight: ImageSettings.imageHeight, inputColumnName: nameof(StopSignInput.Image)) -``` + ```csharp + var pipeline = context.Transforms.ResizeImages(resizing: ImageResizingEstimator.ResizingKind.Fill, outputColumnName: "image_tensor", imageWidth: ImageSettings.imageWidth, imageHeight: ImageSettings.imageHeight, inputColumnName: nameof(StopSignInput.Image)) + ``` -1. Extract the pixels of the image +1. Extract the pixels of the image. -Once the image has been resized, you need to extract the pixels of the image. Append the `ExtractPixels` method to your pipeline and specify the name of the column to output the pixels to using the `outputColumnName` parameter. + Once the image has been resized, you need to extract the pixels of the image. Append the `ExtractPixels` method to your pipeline and specify the name of the column to output the pixels to using the `outputColumnName` parameter. -```csharp -.Append(context.Transforms.ExtractPixels(outputColumnName: "image_tensor")) -``` + ```csharp + .Append(context.Transforms.ExtractPixels(outputColumnName: "image_tensor")) + ``` 1. Apply the ONNX model to the image to make a prediction. This takes a few parameters: @@ -215,19 +205,19 @@ Once the image has been resized, you need to extract the pixels of the image. Ap - **outputColumnNames** - A string array containing the names of all of the output column names, which can be found when analyzing the ONNX model in Netron. - **inputColumnNames** - A string array containing the names of all of the input column name, which can also be found when analyzing the ONNX model in Netron. -```csharp -.Append(context.Transforms.ApplyOnnxModel(outputColumnNames: new string[] { "detected_boxes", "detected_scores", "detected_classes" }, inputColumnNames: new string[] { "image_tensor" }, modelFile: "./Model/model.onnx")); -``` + ```csharp + .Append(context.Transforms.ApplyOnnxModel(outputColumnNames: new string[] { "detected_boxes", "detected_scores", "detected_classes" }, inputColumnNames: new string[] { "image_tensor" }, modelFile: "./Model/model.onnx")); + ``` ## Fit the model -Now that you've defined a pipeline, use it to build the ML.NET model. Use the `Fit` method on the pipeline and pass in the empty `IDataView`. +Now that you've defined a pipeline, you can use it to build the ML.NET model. Use the `Fit` method on the pipeline and pass in the empty `IDataView`. ```csharp var model = pipeline.Fit(data); ``` -Next, to make predictions, use the model to create a prediction engine. This is a generic method, so it takes in the `StopSignInput` and `StopSignPrediction` classes that were created earlier. +Next, to make predictions, use the model to create a prediction engine. This is a generic method, so it takes in the `StopSignInput` and `StopSignPrediction` classes that were created earlier. ```csharp var predictionEngine = context.Model.CreatePredictionEngine(model); @@ -235,9 +225,9 @@ var predictionEngine = context.Model.CreatePredictionEngine method to determine how many objects the model has detected. Do this by taking the count of the predicted bounding boxes and dividing that by the number of labels that were predicted. For example, if you had three objects detected in an image, there would be 12 items in the `BoundingBoxes` array and three labels predicted. The `Chunk` method would then give you three arrays of four to represent the bounding boxes for each object. ```csharp var boundingBoxes = prediction.BoundingBoxes.Chunk(prediction.BoundingBoxes.Count() / prediction.PredictedLabels.Count()); @@ -300,7 +288,7 @@ In the following code blocks, we will be adding within the `foreach` loop. var originalHeight = testImage.Height; ``` -1. With the bounding boxes chunk, loop through those to calculate where in the image to draw the boxes. For that, create a `for` loop based on the count of the bounding boxes chunk. +1. Calculate where in the image to draw the boxes. For that, create a `for` loop based on the count of the bounding boxes chunk. ```csharp for (int i = 0; i < boundingBoxes.Count(); i++) @@ -308,7 +296,7 @@ In the following code blocks, we will be adding within the `foreach` loop. } ``` -1. Within the `for` loop calculate the position of the x, and y coordinates as well as the width, and height of the box to draw on the image. The first thing you need to do is get the set of bounding boxes using the `ElementAt` method. +1. Within the `for` loop, calculate the position of the x and y coordinates as well as the width and height of the box to draw on the image. The first thing you need to do is get the set of bounding boxes using the `ElementAt` method. ```csharp var boundingBox = boundingBoxes.ElementAt(i); @@ -323,7 +311,7 @@ In the following code blocks, we will be adding within the `foreach` loop. var bottom = boundingBox[3] * originalHeight; ``` -1. Calculate the width and the height of the box to draw around the detected object within the image. The x and y items will be the `left` and `top` variables from the previous calculation. Use the `Math.Abs` method to get the absolute value from the width and height calculations in case it is negative. +1. Calculate the width and the height of the box to draw around the detected object within the image. The x and y items are the `left` and `top` variables from the previous calculation. Use the `Math.Abs` method to get the absolute value from the width and height calculations in case it's negative. ```csharp var x = left; @@ -356,8 +344,6 @@ In the following code blocks, we will be adding within the `foreach` loop. graphics.DrawString(label, new Font(FontFamily.Families[0], 18f), Brushes.NavajoWhite, x + 5, y + 5); ``` -Exit the `for` loop. - 1. After the `for` loop, check if the predicted file already exists. If it does, delete it. Then, save it to the defined output path. ```csharp @@ -371,16 +357,6 @@ Exit the `for` loop. ## Next steps -In this tutorial you learned how to: - -> [!div class="checklist"] -> -> * Understand the problem -> * Use the Custom Vision service to create an ONNX model -> * Incorporate the ONNX model into the ML.NET pipeline -> * Train the ML.NET model -> * Classify a test image - Try one of the other image classification tutorials: - [Image Classification with Transfer Learning](image-classification-api-transfer-learning.md) From 29b122b94519c273a6ee4cc392adaf942fc5498b Mon Sep 17 00:00:00 2001 From: Genevieve Warren <24882762+gewarren@users.noreply.github.com> Date: Sat, 18 May 2024 22:38:29 -0700 Subject: [PATCH 14/15] fix link --- docs/machine-learning/tutorials/index.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/machine-learning/tutorials/index.md b/docs/machine-learning/tutorials/index.md index d65887573ddb4..006e1995926dd 100644 --- a/docs/machine-learning/tutorials/index.md +++ b/docs/machine-learning/tutorials/index.md @@ -15,7 +15,7 @@ The following tutorials help you understand how to use [ML.NET](../index.yml) to - [Image classification](image-classification.md): Retrain an existing TensorFlow model to create a custom image classifier using ML.NET. - [Anomaly detection](sales-anomaly-detection.md): Build an anomaly detection application for product sales data analysis. - [Detect objects in images](object-detection-onnx.md): Detect objects in images using a pre-trained ONNX model. -- [Categorize an image from Custom Vision ONNX model](tutorials/object-detection-custom-vision-onnx.md): Detect objects in images using an ONNX model trained in the Microsoft Custom Vision service. +- [Categorize an image from Custom Vision ONNX model](object-detection-custom-vision-onnx.md): Detect objects in images using an ONNX model trained in the Microsoft Custom Vision service. - [Classify sentiment of movie reviews](text-classification-tf.md): Load a pretrained TensorFlow model to classify the sentiment of movie reviews. ## Next steps From 919d2c81c7140bad5281d3b1a35e4fe04b19b2fb Mon Sep 17 00:00:00 2001 From: Genevieve Warren <24882762+gewarren@users.noreply.github.com> Date: Sat, 18 May 2024 22:42:54 -0700 Subject: [PATCH 15/15] move note block --- .../tutorials/object-detection-custom-vision-onnx.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/docs/machine-learning/tutorials/object-detection-custom-vision-onnx.md b/docs/machine-learning/tutorials/object-detection-custom-vision-onnx.md index 082d6ff0df46a..ae22341cf35ff 100644 --- a/docs/machine-learning/tutorials/object-detection-custom-vision-onnx.md +++ b/docs/machine-learning/tutorials/object-detection-custom-vision-onnx.md @@ -89,12 +89,12 @@ To build the ML.NET pipeline, you'll need the names of the input and output colu 1. Install the following NuGet packages for the project: - [!INCLUDE [mlnet-current-nuget-version](../../../includes/mlnet-current-nuget-version.md)] - - **Microsoft.ML** - **Microsoft.ML.ImageAnalytics** - **Microsoft.Onnx.Transformer** + [!INCLUDE [mlnet-current-nuget-version](../../../includes/mlnet-current-nuget-version.md)] + ## Reference the ONNX model Find the two files from the ONNX model (*labels.txt* and *model.onnx*) in the Visual Studio **Solution Explorer**. Right-click them and, in the Properties window, set **Copy to output directory** to **Copy if newer**.