[Frontend][TFLite] Add support for NonMaxSuppressionV5 op #12003
Conversation
This file contains 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
blackkker
changed the title
blackkker
changed the title
masahi
approved these changes
Jul 5, 2022
blackkker
added a commit
to blackkker/tvm
that referenced
this pull request
Jul 7, 2022
* add nms_v5 op for TFLite * add a test for the TFLite nms_v5 op
masahi
pushed a commit
to masahi/tvm
that referenced
this pull request
Jul 15, 2022
* add nms_v5 op for TFLite * add a test for the TFLite nms_v5 op
mikeseven
pushed a commit
to mikeseven/tvm
that referenced
this pull request
Sep 27, 2023
* add nms_v5 op for TFLite * add a test for the TFLite nms_v5 op
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Outdated suggestions cannot be applied.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.
When I import EfficientDet_lite model, the NonMaxSuppressionV5 op is not supported yet. I implemented it with reference to nms of tensorflow and TFLite_Detection_PostProcess of TFLite.
Also, I constructed the test case with reference to the model.