add image featurizer to AutoFeaturizer - #6261

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michaelgsharp merged 3 commits into
dotnet:mainfrom
LittleLittleCloud:u/xiaoyun/addImageFeaturizer
Aug 2, 2022
Merged

add image featurizer to AutoFeaturizer#6261
michaelgsharp merged 3 commits into
dotnet:mainfrom
LittleLittleCloud:u/xiaoyun/addImageFeaturizer

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We are excited to review your PR.

So we can do the best job, please check:

  • There's a descriptive title that will make sense to other developers some time from now.
  • There's associated issues. All PR's should have issue(s) associated - unless a trivial self-evident change such as fixing a typo. You can use the format Fixes #nnnn in your description to cause GitHub to automatically close the issue(s) when your PR is merged.
  • Your change description explains what the change does, why you chose your approach, and anything else that reviewers should know.
  • You have included any necessary tests in the same PR.

This PR adds featurizer for image path. When there's a column, or multiple columns that are referred as image path, a set of estimators with search space will be added for those columns which featurizes image using one of DNN featurizers (ResNet18, ResNet50, AlexNet...)

The initial idea comes from @justinormont, which is a great cross-platform solution to leverage automl in image classification, and can be a more efficient way compared with deep learning, especially on small datasets.

The estimators that use to featurize images are

LoadImage -> ResizeImage(224, 224) -> ExtractPixels -> DnnFeaturizer(one of resnet18, resnet50, alexnet, resnet 101)

which transfers an image into a numeric feature array for classifiers to learn and transform.

And while training, the search space from those estimators will be added to the global search space and will be optimized by the selected tuner

@LittleLittleCloudLittleLittleCloud mentioned this pull request Jul 26, 2022
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Codecov Report

Merging #6261 (db2d198) into main (de9afb5) will decrease coverage by 0.01%.
The diff coverage is 100.00%.

@@ Coverage Diff @@## main #6261 +/- ##
==========================================
- Coverage 68.39% 68.38% -0.02% 
==========================================
Files 1141 1144 +3 Lines 244820 244885 +65 Branches 25405 25405 ==========================================
+ Hits 167444 167460 +16 - Misses 70722 70772 +50 + Partials 6654 6653 -1
FlagCoverage Δ
Debug68.38% <100.00%> (-0.02%)⬇️
production62.83% <ø> (-0.02%)⬇️
test88.99% <100.00%> (+<0.01%)⬆️

Flags with carried forward coverage won't be shown. Click here to find out more.

Impacted FilesCoverage Δ
...t/Microsoft.ML.AutoML.Tests/AutoFeaturizerTests.cs90.24% <100.00%> (+5.05%)⬆️
...DnnImageFeaturizer.ResNet101/ResNet101Extension.cs0.00% <0.00%> (ø)
....ML.DnnImageFeaturizer.AlexNet/AlexNetExtension.cs0.00% <0.00%> (ø)
...L.DnnImageFeaturizer.ResNet50/ResNet50Extension.cs0.00% <0.00%> (ø)
src/Microsoft.ML.Sweeper/AsyncSweeper.cs72.78% <0.00%> (+1.36%)⬆️

michaelgsharp
michaelgsharp reviewed Aug 2, 2022
View reviewed changes
Comment threadsrc/Microsoft.ML.AutoML/API/AutoCatalog.cs
return new SweepableEstimator[] { SweepableEstimatorFactory.CreateOneHotEncoding(option), SweepableEstimatorFactory.CreateOneHotHashEncoding(option) };
}

internal MultiModelPipeline ImagePathFeaturizer(string outputColumnName, string inputColumnName)

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Are you planning on adding support for having a folder and not just an image column?

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Not for now, this only support full image path

michaelgsharp
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LGTM.

@michaelgsharp
michaelgsharp merged commit c30a63e into dotnet:mainAug 2, 2022
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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all 
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}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '

Skip to content
add image featurizer to AutoFeaturizer - #6261
Merged
michaelgsharp merged 3 commits into
dotnet:mainfrom 
LittleLittleCloud:u/xiaoyun/addImageFeaturizer
Aug 2, 2022
Merged
add image featurizer to AutoFeaturizer#6261
michaelgsharp merged 3 commits into
dotnet:mainfrom 
LittleLittleCloud:u/xiaoyun/addImageFeaturizer
Conversation
@LittleLittleCloud
@LittleLittleCloudLittleLittleCloud
commented
Jul 26, 2022•

edited

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We are excited to review your PR.
So we can do the best job, please check:
  •  There's a descriptive title that will make sense to other developers some time from now.
  •  There's associated issues. All PR's should have issue(s) associated - unless a trivial self-evident change such as fixing a typo. You can use the format Fixes #nnnn in your description to cause GitHub to automatically close the issue(s) when your PR is merged.
  •  Your change description explains what the change does, why you chose your approach, and anything else that reviewers should know.
  •  You have included any necessary tests in the same PR.
This PR adds featurizer for image path. When there's a column, or multiple columns that are referred as image path, a set of estimators with search space will be added for those columns which featurizes image using one of DNN featurizers (ResNet18, ResNet50, AlexNet...)
The initial idea comes from @justinormont, which is a great cross-platform solution to leverage automl in image classification, and can be a more efficient way compared with deep learning, especially on small datasets.
The estimators that use to featurize images are
LoadImage -> ResizeImage(224, 224) -> ExtractPixels -> DnnFeaturizer(one of resnet18, resnet50, alexnet, resnet 101)

which transfers an image into a numeric feature array for classifiers to learn and transform.
And while training, the search space from those estimators will be added to the global search space and will be optimized by the selected tuner
@LittleLittleCloudLittleLittleCloud
mentioned this pull request
Jul 26, 2022

Open

28 tasks
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Codecov Report
Merging #6261 (db2d198) into main (de9afb5) will decrease coverage by 0.01%.

The diff coverage is 100.00%.
@@ Coverage Diff @@## main #6261 +/- ##
==========================================
- Coverage 68.39% 68.38% -0.02% 
==========================================
Files 1141 1144 +3 Lines 244820 244885 +65 Branches 25405 25405 ==========================================
+ Hits 167444 167460 +16 - Misses 70722 70772 +50 + Partials 6654 6653 -1 
FlagCoverage Δ
Debug68.38% <100.00%> (-0.02%)⬇️
production62.83% <ø> (-0.02%)⬇️
test88.99% <100.00%> (+<0.01%)⬆️
Flags with carried forward coverage won't be shown. Click here to find out more.
Impacted FilesCoverage Δ
...t/Microsoft.ML.AutoML.Tests/AutoFeaturizerTests.cs90.24% <100.00%> (+5.05%)⬆️
...DnnImageFeaturizer.ResNet101/ResNet101Extension.cs0.00% <0.00%> (ø)
....ML.DnnImageFeaturizer.AlexNet/AlexNetExtension.cs0.00% <0.00%> (ø)
...L.DnnImageFeaturizer.ResNet50/ResNet50Extension.cs0.00% <0.00%> (ø)
src/Microsoft.ML.Sweeper/AsyncSweeper.cs72.78% <0.00%> (+1.36%)⬆️
michaelgsharp
michaelgsharp
reviewed
Aug 2, 2022
View reviewed changes
Comment threadsrc/Microsoft.ML.AutoML/API/AutoCatalog.cs
 return new SweepableEstimator[] { SweepableEstimatorFactory.CreateOneHotEncoding(option), SweepableEstimatorFactory.CreateOneHotHashEncoding(option) };
 }

 internal MultiModelPipeline ImagePathFeaturizer(string outputColumnName, string inputColumnName)
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Are you planning on adding support for having a folder and not just an image column?
@LittleLittleCloudLittleLittleCloudAug 2, 2022

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Not for now, this only support full image path
michaelgsharp
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LGTM.
@michaelgsharp
michaelgsharp
merged commit c30a63e
into
dotnet:mainAug 2, 2022
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix");
}
} catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
add image featurizer to AutoFeaturizer - #6261
Merged
michaelgsharp merged 3 commits into
dotnet:mainfrom 
LittleLittleCloud:u/xiaoyun/addImageFeaturizer
Aug 2, 2022
Merged
add image featurizer to AutoFeaturizer#6261
michaelgsharp merged 3 commits into
dotnet:mainfrom 
LittleLittleCloud:u/xiaoyun/addImageFeaturizer
Conversation
@LittleLittleCloud
@LittleLittleCloudLittleLittleCloud
commented
Jul 26, 2022•

edited

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Member
We are excited to review your PR.
So we can do the best job, please check:
  •  There's a descriptive title that will make sense to other developers some time from now.
  •  There's associated issues. All PR's should have issue(s) associated - unless a trivial self-evident change such as fixing a typo. You can use the format Fixes #nnnn in your description to cause GitHub to automatically close the issue(s) when your PR is merged.
  •  Your change description explains what the change does, why you chose your approach, and anything else that reviewers should know.
  •  You have included any necessary tests in the same PR.
This PR adds featurizer for image path. When there's a column, or multiple columns that are referred as image path, a set of estimators with search space will be added for those columns which featurizes image using one of DNN featurizers (ResNet18, ResNet50, AlexNet...)
The initial idea comes from @justinormont, which is a great cross-platform solution to leverage automl in image classification, and can be a more efficient way compared with deep learning, especially on small datasets.
The estimators that use to featurize images are
LoadImage -> ResizeImage(224, 224) -> ExtractPixels -> DnnFeaturizer(one of resnet18, resnet50, alexnet, resnet 101)

which transfers an image into a numeric feature array for classifiers to learn and transform.
And while training, the search space from those estimators will be added to the global search space and will be optimized by the selected tuner
@LittleLittleCloudLittleLittleCloud
mentioned this pull request
Jul 26, 2022

Open

28 tasks
@codecov
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Jul 26, 2022

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Codecov Report
Merging #6261 (db2d198) into main (de9afb5) will decrease coverage by 0.01%.

The diff coverage is 100.00%.
@@ Coverage Diff @@## main #6261 +/- ##
==========================================
- Coverage 68.39% 68.38% -0.02% 
==========================================
Files 1141 1144 +3 Lines 244820 244885 +65 Branches 25405 25405 ==========================================
+ Hits 167444 167460 +16 - Misses 70722 70772 +50 + Partials 6654 6653 -1 
FlagCoverage Δ
Debug68.38% <100.00%> (-0.02%)⬇️
production62.83% <ø> (-0.02%)⬇️
test88.99% <100.00%> (+<0.01%)⬆️
Flags with carried forward coverage won't be shown. Click here to find out more.
Impacted FilesCoverage Δ
...t/Microsoft.ML.AutoML.Tests/AutoFeaturizerTests.cs90.24% <100.00%> (+5.05%)⬆️
...DnnImageFeaturizer.ResNet101/ResNet101Extension.cs0.00% <0.00%> (ø)
....ML.DnnImageFeaturizer.AlexNet/AlexNetExtension.cs0.00% <0.00%> (ø)
...L.DnnImageFeaturizer.ResNet50/ResNet50Extension.cs0.00% <0.00%> (ø)
src/Microsoft.ML.Sweeper/AsyncSweeper.cs72.78% <0.00%> (+1.36%)⬆️
michaelgsharp
michaelgsharp
reviewed
Aug 2, 2022
View reviewed changes
Comment threadsrc/Microsoft.ML.AutoML/API/AutoCatalog.cs
 return new SweepableEstimator[] { SweepableEstimatorFactory.CreateOneHotEncoding(option), SweepableEstimatorFactory.CreateOneHotHashEncoding(option) };
 }

 internal MultiModelPipeline ImagePathFeaturizer(string outputColumnName, string inputColumnName)
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Are you planning on adding support for having a folder and not just an image column?
@LittleLittleCloudLittleLittleCloudAug 2, 2022

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Not for now, this only support full image path
michaelgsharp
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LGTM.
@michaelgsharp
michaelgsharp
merged commit c30a63e
into
dotnet:mainAug 2, 2022
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms");
}
} catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
add image featurizer to AutoFeaturizer - #6261
Merged
michaelgsharp merged 3 commits into
dotnet:mainfrom 
LittleLittleCloud:u/xiaoyun/addImageFeaturizer
Aug 2, 2022
Merged
add image featurizer to AutoFeaturizer#6261
michaelgsharp merged 3 commits into
dotnet:mainfrom 
LittleLittleCloud:u/xiaoyun/addImageFeaturizer
Conversation
@LittleLittleCloud
@LittleLittleCloudLittleLittleCloud
commented
Jul 26, 2022•

edited

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We are excited to review your PR.
So we can do the best job, please check:
  •  There's a descriptive title that will make sense to other developers some time from now.
  •  There's associated issues. All PR's should have issue(s) associated - unless a trivial self-evident change such as fixing a typo. You can use the format Fixes #nnnn in your description to cause GitHub to automatically close the issue(s) when your PR is merged.
  •  Your change description explains what the change does, why you chose your approach, and anything else that reviewers should know.
  •  You have included any necessary tests in the same PR.
This PR adds featurizer for image path. When there's a column, or multiple columns that are referred as image path, a set of estimators with search space will be added for those columns which featurizes image using one of DNN featurizers (ResNet18, ResNet50, AlexNet...)
The initial idea comes from @justinormont, which is a great cross-platform solution to leverage automl in image classification, and can be a more efficient way compared with deep learning, especially on small datasets.
The estimators that use to featurize images are
LoadImage -> ResizeImage(224, 224) -> ExtractPixels -> DnnFeaturizer(one of resnet18, resnet50, alexnet, resnet 101)

which transfers an image into a numeric feature array for classifiers to learn and transform.
And while training, the search space from those estimators will be added to the global search space and will be optimized by the selected tuner
@LittleLittleCloudLittleLittleCloud
mentioned this pull request
Jul 26, 2022

Open

28 tasks
@codecov
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Jul 26, 2022

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Codecov Report
Merging #6261 (db2d198) into main (de9afb5) will decrease coverage by 0.01%.

The diff coverage is 100.00%.
@@ Coverage Diff @@## main #6261 +/- ##
==========================================
- Coverage 68.39% 68.38% -0.02% 
==========================================
Files 1141 1144 +3 Lines 244820 244885 +65 Branches 25405 25405 ==========================================
+ Hits 167444 167460 +16 - Misses 70722 70772 +50 + Partials 6654 6653 -1 
FlagCoverage Δ
Debug68.38% <100.00%> (-0.02%)⬇️
production62.83% <ø> (-0.02%)⬇️
test88.99% <100.00%> (+<0.01%)⬆️
Flags with carried forward coverage won't be shown. Click here to find out more.
Impacted FilesCoverage Δ
...t/Microsoft.ML.AutoML.Tests/AutoFeaturizerTests.cs90.24% <100.00%> (+5.05%)⬆️
...DnnImageFeaturizer.ResNet101/ResNet101Extension.cs0.00% <0.00%> (ø)
....ML.DnnImageFeaturizer.AlexNet/AlexNetExtension.cs0.00% <0.00%> (ø)
...L.DnnImageFeaturizer.ResNet50/ResNet50Extension.cs0.00% <0.00%> (ø)
src/Microsoft.ML.Sweeper/AsyncSweeper.cs72.78% <0.00%> (+1.36%)⬆️
michaelgsharp
michaelgsharp
reviewed
Aug 2, 2022
View reviewed changes
Comment threadsrc/Microsoft.ML.AutoML/API/AutoCatalog.cs
 return new SweepableEstimator[] { SweepableEstimatorFactory.CreateOneHotEncoding(option), SweepableEstimatorFactory.CreateOneHotHashEncoding(option) };
 }

 internal MultiModelPipeline ImagePathFeaturizer(string outputColumnName, string inputColumnName)
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Are you planning on adding support for having a folder and not just an image column?
@LittleLittleCloudLittleLittleCloudAug 2, 2022

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Not for now, this only support full image path
michaelgsharp
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approved these changes
Aug 2, 2022
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LGTM.
@michaelgsharp
michaelgsharp
merged commit c30a63e
into
dotnet:mainAug 2, 2022
@ghostghost
locked as resolved and limited conversation to collaborators
Sep 1, 2022
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links");
}
} catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); }
})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '

Skip to content
add image featurizer to AutoFeaturizer - #6261
Merged
michaelgsharp merged 3 commits into
dotnet:mainfrom 
LittleLittleCloud:u/xiaoyun/addImageFeaturizer
Aug 2, 2022
Merged
add image featurizer to AutoFeaturizer#6261
michaelgsharp merged 3 commits into
dotnet:mainfrom 
LittleLittleCloud:u/xiaoyun/addImageFeaturizer
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@LittleLittleCloud
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Jul 26, 2022•

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We are excited to review your PR.
So we can do the best job, please check:
  •  There's a descriptive title that will make sense to other developers some time from now.
  •  There's associated issues. All PR's should have issue(s) associated - unless a trivial self-evident change such as fixing a typo. You can use the format Fixes #nnnn in your description to cause GitHub to automatically close the issue(s) when your PR is merged.
  •  Your change description explains what the change does, why you chose your approach, and anything else that reviewers should know.
  •  You have included any necessary tests in the same PR.
This PR adds featurizer for image path. When there's a column, or multiple columns that are referred as image path, a set of estimators with search space will be added for those columns which featurizes image using one of DNN featurizers (ResNet18, ResNet50, AlexNet...)
The initial idea comes from @justinormont, which is a great cross-platform solution to leverage automl in image classification, and can be a more efficient way compared with deep learning, especially on small datasets.
The estimators that use to featurize images are
LoadImage -> ResizeImage(224, 224) -> ExtractPixels -> DnnFeaturizer(one of resnet18, resnet50, alexnet, resnet 101)

which transfers an image into a numeric feature array for classifiers to learn and transform.
And while training, the search space from those estimators will be added to the global search space and will be optimized by the selected tuner
@LittleLittleCloudLittleLittleCloud
mentioned this pull request
Jul 26, 2022

Open

28 tasks
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Codecov Report
Merging #6261 (db2d198) into main (de9afb5) will decrease coverage by 0.01%.

The diff coverage is 100.00%.
@@ Coverage Diff @@## main #6261 +/- ##
==========================================
- Coverage 68.39% 68.38% -0.02% 
==========================================
Files 1141 1144 +3 Lines 244820 244885 +65 Branches 25405 25405 ==========================================
+ Hits 167444 167460 +16 - Misses 70722 70772 +50 + Partials 6654 6653 -1 
FlagCoverage Δ
Debug68.38% <100.00%> (-0.02%)⬇️
production62.83% <ø> (-0.02%)⬇️
test88.99% <100.00%> (+<0.01%)⬆️
Flags with carried forward coverage won't be shown. Click here to find out more.
Impacted FilesCoverage Δ
...t/Microsoft.ML.AutoML.Tests/AutoFeaturizerTests.cs90.24% <100.00%> (+5.05%)⬆️
...DnnImageFeaturizer.ResNet101/ResNet101Extension.cs0.00% <0.00%> (ø)
....ML.DnnImageFeaturizer.AlexNet/AlexNetExtension.cs0.00% <0.00%> (ø)
...L.DnnImageFeaturizer.ResNet50/ResNet50Extension.cs0.00% <0.00%> (ø)
src/Microsoft.ML.Sweeper/AsyncSweeper.cs72.78% <0.00%> (+1.36%)⬆️
michaelgsharp
michaelgsharp
reviewed
Aug 2, 2022
View reviewed changes
Comment threadsrc/Microsoft.ML.AutoML/API/AutoCatalog.cs
 return new SweepableEstimator[] { SweepableEstimatorFactory.CreateOneHotEncoding(option), SweepableEstimatorFactory.CreateOneHotHashEncoding(option) };
 }

 internal MultiModelPipeline ImagePathFeaturizer(string outputColumnName, string inputColumnName)
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Are you planning on adding support for having a folder and not just an image column?
@LittleLittleCloudLittleLittleCloudAug 2, 2022

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Not for now, this only support full image path
michaelgsharp
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LGTM.
@michaelgsharp
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merged commit c30a63e
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dotnet:mainAug 2, 2022
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default");
}
} catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
add image featurizer to AutoFeaturizer - #6261
Merged
michaelgsharp merged 3 commits into
dotnet:mainfrom 
LittleLittleCloud:u/xiaoyun/addImageFeaturizer
Aug 2, 2022
Merged
add image featurizer to AutoFeaturizer#6261
michaelgsharp merged 3 commits into
dotnet:mainfrom 
LittleLittleCloud:u/xiaoyun/addImageFeaturizer
Conversation
@LittleLittleCloud
@LittleLittleCloudLittleLittleCloud
commented
Jul 26, 2022•

edited

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We are excited to review your PR.
So we can do the best job, please check:
  •  There's a descriptive title that will make sense to other developers some time from now.
  •  There's associated issues. All PR's should have issue(s) associated - unless a trivial self-evident change such as fixing a typo. You can use the format Fixes #nnnn in your description to cause GitHub to automatically close the issue(s) when your PR is merged.
  •  Your change description explains what the change does, why you chose your approach, and anything else that reviewers should know.
  •  You have included any necessary tests in the same PR.
This PR adds featurizer for image path. When there's a column, or multiple columns that are referred as image path, a set of estimators with search space will be added for those columns which featurizes image using one of DNN featurizers (ResNet18, ResNet50, AlexNet...)
The initial idea comes from @justinormont, which is a great cross-platform solution to leverage automl in image classification, and can be a more efficient way compared with deep learning, especially on small datasets.
The estimators that use to featurize images are
LoadImage -> ResizeImage(224, 224) -> ExtractPixels -> DnnFeaturizer(one of resnet18, resnet50, alexnet, resnet 101)

which transfers an image into a numeric feature array for classifiers to learn and transform.
And while training, the search space from those estimators will be added to the global search space and will be optimized by the selected tuner
@LittleLittleCloudLittleLittleCloud
mentioned this pull request
Jul 26, 2022

Open

28 tasks
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Codecov Report
Merging #6261 (db2d198) into main (de9afb5) will decrease coverage by 0.01%.

The diff coverage is 100.00%.
@@ Coverage Diff @@## main #6261 +/- ##
==========================================
- Coverage 68.39% 68.38% -0.02% 
==========================================
Files 1141 1144 +3 Lines 244820 244885 +65 Branches 25405 25405 ==========================================
+ Hits 167444 167460 +16 - Misses 70722 70772 +50 + Partials 6654 6653 -1 
FlagCoverage Δ
Debug68.38% <100.00%> (-0.02%)⬇️
production62.83% <ø> (-0.02%)⬇️
test88.99% <100.00%> (+<0.01%)⬆️
Flags with carried forward coverage won't be shown. Click here to find out more.
Impacted FilesCoverage Δ
...t/Microsoft.ML.AutoML.Tests/AutoFeaturizerTests.cs90.24% <100.00%> (+5.05%)⬆️
...DnnImageFeaturizer.ResNet101/ResNet101Extension.cs0.00% <0.00%> (ø)
....ML.DnnImageFeaturizer.AlexNet/AlexNetExtension.cs0.00% <0.00%> (ø)
...L.DnnImageFeaturizer.ResNet50/ResNet50Extension.cs0.00% <0.00%> (ø)
src/Microsoft.ML.Sweeper/AsyncSweeper.cs72.78% <0.00%> (+1.36%)⬆️
michaelgsharp
michaelgsharp
reviewed
Aug 2, 2022
View reviewed changes
Comment threadsrc/Microsoft.ML.AutoML/API/AutoCatalog.cs
 return new SweepableEstimator[] { SweepableEstimatorFactory.CreateOneHotEncoding(option), SweepableEstimatorFactory.CreateOneHotHashEncoding(option) };
 }

 internal MultiModelPipeline ImagePathFeaturizer(string outputColumnName, string inputColumnName)
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Are you planning on adding support for having a folder and not just an image column?
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Not for now, this only support full image path
michaelgsharp
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LGTM.
@michaelgsharp
michaelgsharp
merged commit c30a63e
into
dotnet:mainAug 2, 2022
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Sep 1, 2022
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers");
}
} catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
add image featurizer to AutoFeaturizer - #6261
Merged
michaelgsharp merged 3 commits into
dotnet:mainfrom 
LittleLittleCloud:u/xiaoyun/addImageFeaturizer
Aug 2, 2022
Merged
add image featurizer to AutoFeaturizer#6261
michaelgsharp merged 3 commits into
dotnet:mainfrom 
LittleLittleCloud:u/xiaoyun/addImageFeaturizer
Conversation
@LittleLittleCloud
@LittleLittleCloudLittleLittleCloud
commented
Jul 26, 2022•

edited

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We are excited to review your PR.
So we can do the best job, please check:
  •  There's a descriptive title that will make sense to other developers some time from now.
  •  There's associated issues. All PR's should have issue(s) associated - unless a trivial self-evident change such as fixing a typo. You can use the format Fixes #nnnn in your description to cause GitHub to automatically close the issue(s) when your PR is merged.
  •  Your change description explains what the change does, why you chose your approach, and anything else that reviewers should know.
  •  You have included any necessary tests in the same PR.
This PR adds featurizer for image path. When there's a column, or multiple columns that are referred as image path, a set of estimators with search space will be added for those columns which featurizes image using one of DNN featurizers (ResNet18, ResNet50, AlexNet...)
The initial idea comes from @justinormont, which is a great cross-platform solution to leverage automl in image classification, and can be a more efficient way compared with deep learning, especially on small datasets.
The estimators that use to featurize images are
LoadImage -> ResizeImage(224, 224) -> ExtractPixels -> DnnFeaturizer(one of resnet18, resnet50, alexnet, resnet 101)

which transfers an image into a numeric feature array for classifiers to learn and transform.
And while training, the search space from those estimators will be added to the global search space and will be optimized by the selected tuner
@LittleLittleCloudLittleLittleCloud
mentioned this pull request
Jul 26, 2022

Open

28 tasks
@codecov
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Jul 26, 2022

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Codecov Report
Merging #6261 (db2d198) into main (de9afb5) will decrease coverage by 0.01%.

The diff coverage is 100.00%.
@@ Coverage Diff @@## main #6261 +/- ##
==========================================
- Coverage 68.39% 68.38% -0.02% 
==========================================
Files 1141 1144 +3 Lines 244820 244885 +65 Branches 25405 25405 ==========================================
+ Hits 167444 167460 +16 - Misses 70722 70772 +50 + Partials 6654 6653 -1 
FlagCoverage Δ
Debug68.38% <100.00%> (-0.02%)⬇️
production62.83% <ø> (-0.02%)⬇️
test88.99% <100.00%> (+<0.01%)⬆️
Flags with carried forward coverage won't be shown. Click here to find out more.
Impacted FilesCoverage Δ
...t/Microsoft.ML.AutoML.Tests/AutoFeaturizerTests.cs90.24% <100.00%> (+5.05%)⬆️
...DnnImageFeaturizer.ResNet101/ResNet101Extension.cs0.00% <0.00%> (ø)
....ML.DnnImageFeaturizer.AlexNet/AlexNetExtension.cs0.00% <0.00%> (ø)
...L.DnnImageFeaturizer.ResNet50/ResNet50Extension.cs0.00% <0.00%> (ø)
src/Microsoft.ML.Sweeper/AsyncSweeper.cs72.78% <0.00%> (+1.36%)⬆️
michaelgsharp
michaelgsharp
reviewed
Aug 2, 2022
View reviewed changes
Comment threadsrc/Microsoft.ML.AutoML/API/AutoCatalog.cs
 return new SweepableEstimator[] { SweepableEstimatorFactory.CreateOneHotEncoding(option), SweepableEstimatorFactory.CreateOneHotHashEncoding(option) };
 }

 internal MultiModelPipeline ImagePathFeaturizer(string outputColumnName, string inputColumnName)
@michaelgsharpmichaelgsharpAug 2, 2022

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Are you planning on adding support for having a folder and not just an image column?
@LittleLittleCloudLittleLittleCloudAug 2, 2022

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Not for now, this only support full image path
michaelgsharp
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LGTM.
@michaelgsharp
michaelgsharp
merged commit c30a63e
into
dotnet:mainAug 2, 2022
@ghostghost
locked as resolved and limited conversation to collaborators
Sep 1, 2022
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@michaelgsharpmichaelgsharpmichaelgsharp approved these changes
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode");
}
} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
})();
})();

Skip to content
add image featurizer to AutoFeaturizer - #6261
Merged
michaelgsharp merged 3 commits into
dotnet:mainfrom 
LittleLittleCloud:u/xiaoyun/addImageFeaturizer
Aug 2, 2022
Merged
add image featurizer to AutoFeaturizer#6261
michaelgsharp merged 3 commits into
dotnet:mainfrom 
LittleLittleCloud:u/xiaoyun/addImageFeaturizer
Conversation
@LittleLittleCloud
@LittleLittleCloudLittleLittleCloud
commented
Jul 26, 2022•

edited

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We are excited to review your PR.
So we can do the best job, please check:
  •  There's a descriptive title that will make sense to other developers some time from now.
  •  There's associated issues. All PR's should have issue(s) associated - unless a trivial self-evident change such as fixing a typo. You can use the format Fixes #nnnn in your description to cause GitHub to automatically close the issue(s) when your PR is merged.
  •  Your change description explains what the change does, why you chose your approach, and anything else that reviewers should know.
  •  You have included any necessary tests in the same PR.
This PR adds featurizer for image path. When there's a column, or multiple columns that are referred as image path, a set of estimators with search space will be added for those columns which featurizes image using one of DNN featurizers (ResNet18, ResNet50, AlexNet...)
The initial idea comes from @justinormont, which is a great cross-platform solution to leverage automl in image classification, and can be a more efficient way compared with deep learning, especially on small datasets.
The estimators that use to featurize images are
LoadImage -> ResizeImage(224, 224) -> ExtractPixels -> DnnFeaturizer(one of resnet18, resnet50, alexnet, resnet 101)

which transfers an image into a numeric feature array for classifiers to learn and transform.
And while training, the search space from those estimators will be added to the global search space and will be optimized by the selected tuner
@LittleLittleCloudLittleLittleCloud
mentioned this pull request
Jul 26, 2022

Open

28 tasks
@codecov
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commented
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Codecov Report
Merging #6261 (db2d198) into main (de9afb5) will decrease coverage by 0.01%.

The diff coverage is 100.00%.
@@ Coverage Diff @@## main #6261 +/- ##
==========================================
- Coverage 68.39% 68.38% -0.02% 
==========================================
Files 1141 1144 +3 Lines 244820 244885 +65 Branches 25405 25405 ==========================================
+ Hits 167444 167460 +16 - Misses 70722 70772 +50 + Partials 6654 6653 -1 
FlagCoverage Δ
Debug68.38% <100.00%> (-0.02%)⬇️
production62.83% <ø> (-0.02%)⬇️
test88.99% <100.00%> (+<0.01%)⬆️
Flags with carried forward coverage won't be shown. Click here to find out more.
Impacted FilesCoverage Δ
...t/Microsoft.ML.AutoML.Tests/AutoFeaturizerTests.cs90.24% <100.00%> (+5.05%)⬆️
...DnnImageFeaturizer.ResNet101/ResNet101Extension.cs0.00% <0.00%> (ø)
....ML.DnnImageFeaturizer.AlexNet/AlexNetExtension.cs0.00% <0.00%> (ø)
...L.DnnImageFeaturizer.ResNet50/ResNet50Extension.cs0.00% <0.00%> (ø)
src/Microsoft.ML.Sweeper/AsyncSweeper.cs72.78% <0.00%> (+1.36%)⬆️
michaelgsharp
michaelgsharp
reviewed
Aug 2, 2022
View reviewed changes
Comment threadsrc/Microsoft.ML.AutoML/API/AutoCatalog.cs
 return new SweepableEstimator[] { SweepableEstimatorFactory.CreateOneHotEncoding(option), SweepableEstimatorFactory.CreateOneHotHashEncoding(option) };
 }

 internal MultiModelPipeline ImagePathFeaturizer(string outputColumnName, string inputColumnName)
@michaelgsharpmichaelgsharpAug 2, 2022

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Are you planning on adding support for having a folder and not just an image column?
@LittleLittleCloudLittleLittleCloudAug 2, 2022

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Not for now, this only support full image path
michaelgsharp
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approved these changes
Aug 2, 2022
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LGTM.
@michaelgsharp
michaelgsharp
merged commit c30a63e
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dotnet:mainAug 2, 2022
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Sep 1, 2022
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