Yelov8 Translator optimization #2908
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- Improved post-processing performance up to 40x by reducing expensive native calls - Additional argument 'maxBox' added to improve post-processing performance by reducing number of considered bounding boxes - Sunset file fixed,, previous version ignored first 4 rows, so recognized classes were 4 off. Adding 4 rows header fixes the problem. New headers pointing to ultralytics doc pages and original coco dataset page.
frankfliu
reviewed
Dec 31, 2023
| @@ -27,13 +29,17 @@ | |||
| */ | |||
| public class YoloV8Translator extends YoloV5Translator { | |||
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| final int maxBoxes; | |||
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The usage of final for members and parameters is generally discouraged in favor of readability.
See: https://docs.djl.ai/docs/development/development_guideline.html#coding-conventions
| int sizeClasses = classes.size(); | ||
| long sizeBoxes = features4OneImg.size(1); | ||
| ArrayList<IntermediateResult> intermediateResults = new ArrayList<>(); | ||
| final NDArray rawResult = list.get(0); |
| @@ -65,6 +65,8 @@ public static DetectedObjects predict() throws IOException, ModelException, Tran | |||
| arguments.put("toTensor", true); | |||
| arguments.put("applyRatio", true); | |||
| arguments.put("threshold", 0.6f); | |||
| // for performance optimization maxBox parameter can reduce number of considered boxes from 8400 | |||
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We follow AOPS coding convention. Please reformat your code with the following command:
./gradlew fJ
- reformatted code - removed final
Codecov ReportAttention:
❗ Your organization needs to install the Codecov GitHub app to enable full functionality. Additional details and impacted files@@ Coverage Diff @@
## master #2908 +/- ##
============================================
+ Coverage 72.08% 72.56% +0.47%
- Complexity 5126 7203 +2077
============================================
Files 473 708 +235
Lines 21970 32022 +10052
Branches 2351 3337 +986
============================================
+ Hits 15838 23238 +7400
- Misses 4925 7189 +2264
- Partials 1207 1595 +388 ☔ View full report in Codecov by Sentry. |
1. Fixes windows line return 2. Furthe reduce NDArray operations 3. Refactor example code 4. Add unittest for Yolov8Detection
frankfliu
approved these changes
Dec 31, 2023
frankfliu
added a commit
that referenced
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Apr 26, 2024
* Yelov8 Translator optimization - Improved post-processing performance up to 40x by reducing expensive native calls - Additional argument 'maxBox' added to improve post-processing performance by reducing number of considered bounding boxes - Sunset file fixed,, previous version ignored first 4 rows, so recognized classes were 4 off. Adding 4 rows header fixes the problem. New headers pointing to ultralytics doc pages and original coco dataset page. * addressed PR comments - reformatted code - removed final * Refactor Yolov8 example 1. Fixes windows line return 2. Furthe reduce NDArray operations 3. Refactor example code 4. Add unittest for Yolov8Detection --------- Co-authored-by: Frank Liu <frankfliu2000@gmail.com>
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Description
Brief description of what this PR is about
Improved post-processing performance up to 40x by reducing expensive native calls
Additional argument 'maxBox' added to improve post-processing performance by reducing number of considered bounding boxes
Sunset file fixed,, previous version ignored first 4 rows, so recognized classes were 4 off. Adding 4 rows header fixes the problem. New headers pointing to ultralytics doc pages and original coco dataset page.
Change on yolov8_synset.txt is a backward incompatible, example sunset file was incorrectly formatted and predicted class categories were off by 4.