Open
Conversation
Collaborator
|
@adujardin Hi, |
Author
|
Hi @AlexeyAB, no I never tried CoreML. I guess it should be compatible as it's fairly close to the format of ultralytics/yolov3 but I'm not familiar with it. Using ONNX opset_version 11 might be better but I had an issue with TensorRT if opset_version was different from 10. Also not sure if it's the export process or the models themself but the accuracies are lower than vanilla darknet yolov4 model (it's better than yolov3 though, exported in onnx with the same process and inference implementation) |
|
yolov4-tiny convert not works |
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
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Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be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.
This PR adds ONNX exporting instructions and also includes a fix to export the yolov4 models (by default it's the same issue as ultralytics/yolov3#1169, the solution posted by @zjd1988 is fixing it).
All yolov4 variants ONNX models tested are working using TensorRT 7.0+ (not tested other frameworks).