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Fixing namespace for image samples #3208

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Apr 5, 2019
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Original file line number Diff line number Diff line change
@@ -1,8 +1,9 @@
using System;
using System.IO;
using Microsoft.ML;
using Microsoft.ML.Data;

namespace Microsoft.ML.Samples.Dynamic
namespace Samples.Dynamic
{
public static class ConvertToGrayscale
{
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Original file line number Diff line number Diff line change
@@ -1,9 +1,10 @@
using System;
using System.Collections.Generic;
using System.Linq;
using Microsoft.ML;
using Microsoft.ML.Data;

namespace Microsoft.ML.Samples.Dynamic
namespace Samples.Dynamic
{
public static class ConvertToImage
{
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Original file line number Diff line number Diff line change
@@ -1,8 +1,9 @@
using System.IO;
using System.Linq;
using Microsoft.ML;
using Microsoft.ML.Data;

namespace Microsoft.ML.Samples.Dynamic
namespace Samples.Dynamic
{
public static class DnnFeaturizeImage
{
Expand All @@ -15,7 +16,7 @@ public static void Example()
// Downloading a few images, and an images.tsv file, which contains a list of the files from the dotnet/machinelearning/test/data/images/.
// If you inspect the fileSystem, after running this line, an "images" folder will be created, containing 4 images, and a .tsv file
// enumerating the images.
var imagesDataFile = SamplesUtils.DatasetUtils.DownloadImages();
var imagesDataFile = Microsoft.ML.SamplesUtils.DatasetUtils.DownloadImages();
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@rogancarr rogancarr Apr 5, 2019

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Microsoft.ML. [](start = 33, length = 13)

Do you need this? You don't in ConvertToGrayScale.

Ditto for the rest of the files with this pattern. #Resolved

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added to ConvertToGrayScale in iteration 2 (else its compile time error)


In reply to: 272409998 [](ancestors = 272409998)


// Preview of the content of the images.tsv file, which lists the images to operate on
//
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Original file line number Diff line number Diff line change
@@ -1,9 +1,10 @@
using System;
using System.IO;
using System.Linq;
using Microsoft.ML;
using Microsoft.ML.Data;

namespace Microsoft.ML.Samples.Dynamic
namespace Samples.Dynamic
{
public static class ExtractPixels
{
Expand All @@ -18,7 +19,7 @@ public static void Example()
// Downloading a few images, and an images.tsv file, which contains a list of the files from the dotnet/machinelearning/test/data/images/.
// If you inspect the fileSystem, after running this line, an "images" folder will be created, containing 4 images, and a .tsv file
// enumerating the images.
var imagesDataFile = SamplesUtils.DatasetUtils.DownloadImages();
var imagesDataFile = Microsoft.ML.SamplesUtils.DatasetUtils.DownloadImages();

// Preview of the content of the images.tsv file
//
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Original file line number Diff line number Diff line change
@@ -1,8 +1,9 @@
using System;
using System.IO;
using Microsoft.ML;
using Microsoft.ML.Data;

namespace Microsoft.ML.Samples.Dynamic
namespace Samples.Dynamic
{
public static class LoadImages
{
Expand All @@ -16,7 +17,7 @@ public static void Example()
// Downloading a few images, and an images.tsv file, which contains a list of the files from the dotnet/machinelearning/test/data/images/.
// If you inspect the fileSystem, after running this line, an "images" folder will be created, containing 4 images, and a .tsv file
// enumerating the images.
var imagesDataFile = SamplesUtils.DatasetUtils.DownloadImages();
var imagesDataFile = Microsoft.ML.SamplesUtils.DatasetUtils.DownloadImages();

// Preview of the content of the images.tsv file
//
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Original file line number Diff line number Diff line change
@@ -1,8 +1,9 @@
using System;
using System.IO;
using Microsoft.ML;
using Microsoft.ML.Data;

namespace Microsoft.ML.Samples.Dynamic
namespace Samples.Dynamic
{
public static class ResizeImages
{
Expand All @@ -16,7 +17,7 @@ public static void Example()
// Downloading a few images, and an images.tsv file, which contains a list of the files from the dotnet/machinelearning/test/data/images/.
// If you inspect the fileSystem, after running this line, an "images" folder will be created, containing 4 images, and a .tsv file
// enumerating the images.
var imagesDataFile = SamplesUtils.DatasetUtils.DownloadImages();
var imagesDataFile = Microsoft.ML.SamplesUtils.DatasetUtils.DownloadImages();

// Preview of the content of the images.tsv file
//
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