- Simplified language for better readability - Added specific performance expectations (4-5 FPS) - Clear test scenarios for QA validation - Direct problem-to-solution mapping - Removed technical jargon for broader audience 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
32 lines
1.2 KiB
Markdown
32 lines
1.2 KiB
Markdown
# Release Notes - Cluster4NPU
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## v0.0.2
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**Release Date:** July 31, 2025
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### Issues Resolved
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- **App no longer crashes** when running inference multiple times
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- **FPS numbers now show correctly** - no more jumping from high to low values
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- **System stays fast** during long sessions - memory usage is now controlled
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- **Processing won't get stuck** when too many images pile up
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### Improvements
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- **FPS Display**: Shows real processing speed (around 4-5 FPS typically)
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- **Memory Usage**: App automatically cleans up old data to stay efficient
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- **Real-time Processing**: Always processes the newest camera images first
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- Removed unnecessary text and confusing messages that cluttered the display
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## For QA
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### Test These Scenarios:
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1. **Multiple Sessions**: Start and stop inference 3-5 times → Should not crash
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2. **Long Running**: Let it run for 1 hour → Performance should stay consistent
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3. **FPS Check**: Watch FPS numbers → Should be steady around 4-5 FPS, not jumping wildly
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4. **Memory Check**: Monitor system memory → Should not keep growing over time
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### Expected Results:
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- No application crashes
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- Stable FPS readings
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- Memory usage stays controlled
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- System responds quickly to new camera frames |