Apply make_divisible for ONNX models in Autoshape #10172
Merged
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Outdated suggestions cannot be applied.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.
At line 697 we have this
make_divisible
function applied on input images for pytorch models.--dynamic
), I got an error and it's due to the indivisible problemThe simple solution is to enable the
make_divisible
function for onnx model too.Signed-off-by: janus-zheng 106574221+janus-zheng@users.noreply.github.com
🛠️ PR Summary
Made with ❤️ by Ultralytics Actions
🌟 Summary
Enhanced image pre-processing in YOLOv5's inference pipeline.
📊 Key Changes
🎯 Purpose & Impact