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Syn-McJ/TFClassify-Unity-Barracuda
An example of using Tensorflow and ONNX models with Unity Barracuda inference engine for image classification and object detection.
128 32 +0/wk
GitHub
barracuda deep-learning image-classification object-detection object-recognition onnx tensorflow unity
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0
Star & Fork Trend (19 data points)
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Forks
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Syn-McJ/TFClassify-Unity-Barracuda has +0 stars this period . Velocity data will be available after more historical data is collected.
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| Metric | TFClassify-Unity-Barracuda | careamics | azula | fAIr |
|---|---|---|---|---|
| Stars | 128 | 128 | 129 | 127 |
| Forks | 32 | 21 | 10 | 79 |
| Weekly Growth | +0 | +1 | +0 | +0 |
| Language | C# | Python | Python | TypeScript |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | BSD-3-Clause | MIT | AGPL-3.0 |
Capability Radar vs careamics
TFClassify-Unity-Barracuda
careamics
Maintenance Activity 0
Last code push 2257 days ago.
Community Engagement 100
Fork-to-star ratio: 25.0%. Active community forking and contributing.
Issue Burden 70
Issue data not yet available.
Growth Momentum 30
No measurable growth in the current period (first-day cold start expected).
License Clarity 95
Licensed under MIT. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.