[Doc] Document image preprocessing steps for ONNX model input#255
Open
yeelam-gordon wants to merge 1 commit intoMicrosoftDocs:docsfrom
Open
[Doc] Document image preprocessing steps for ONNX model input#255yeelam-gordon wants to merge 1 commit intoMicrosoftDocs:docsfrom
yeelam-gordon wants to merge 1 commit intoMicrosoftDocs:docsfrom
Conversation
Explains the NCHW format, normalization, and tensor creation that PreprocessImageAsync performs under the hood. Fixes ADO #61791046 Co-authored-by: Copilot <[email protected]>
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
1 participant
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
Problem
The tutorial page shows how to run inference but doesn't explain image preprocessing (resize, normalize, NCHW layout), which is critical for image classification models like SqueezeNet.
Fix
Added a new 'Image preprocessing' subsection in
tutorial.mddocumenting the 5-step pipeline: load image, resize to 224x224, convert BGRA8 to RGB, normalize with ImageNet mean/std, create DenseTensor. Includes link to sampleImageProcessor.cs.Files changed
docs/new-windows-ml/tutorial.md