training_extensions
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Add a new metric for computing both f-measure and mean AP for detection training
Summary
How to test
Checklist
- [ ] I have added unit tests to cover my changes.
- [ ] I have added integration tests to cover my changes.
- [ ] I have ran e2e tests and there is no issues.
- [ ] I have added the description of my changes into CHANGELOG in my target branch (e.g., CHANGELOG in develop).
- [ ] I have updated the documentation in my target branch accordingly (e.g., documentation in develop).
- [ ] I have linked related issues.
License
- [ ] I submit my code changes under the same Apache License that covers the project. Feel free to contact the maintainers if that's a concern.
- [ ] I have updated the license header for each file (see an example below).
# Copyright (C) 2024 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
Codecov Report
Attention: Patch coverage is 35.21127% with 46 lines in your changes are missing coverage. Please review.
Project coverage is 82.93%. Comparing base (
59014b8) to head (e46175d).
| Files | Patch % | Lines |
|---|---|---|
| src/otx/core/metrics/fmeasure.py | 31.34% | 46 Missing :warning: |
Additional details and impacted files
@@ Coverage Diff @@
## releases/2.0.0 #3531 +/- ##
==================================================
- Coverage 83.04% 82.93% -0.12%
==================================================
Files 254 254
Lines 25263 25330 +67
==================================================
+ Hits 20980 21007 +27
- Misses 4283 4323 +40
| Flag | Coverage Δ | |
|---|---|---|
| py310 | ? |
|
| py311 | 82.93% <35.21%> (+0.59%) |
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