TFClassify-Unity and TFClassify-Unity-Barracuda
These are ecosystem siblings representing different inference backend approaches—the first uses TensorFlow directly while the second uses the same models converted to ONNX format and executed through Unity's native Barracuda inference engine for improved performance and compatibility.
Maintenance
0/25
Adoption
10/25
Maturity
9/25
Community
21/25
Maintenance
0/25
Adoption
10/25
Maturity
9/25
Community
20/25
Stars: 166
Forks: 45
Downloads: —
Commits (30d): 0
Language: C#
License: MIT
Stars: 128
Forks: 32
Downloads: —
Commits (30d): 0
Language: C#
License: MIT
Stale 6m
No Package
No Dependents
Stale 6m
No Package
No Dependents
About TFClassify-Unity
Syn-McJ/TFClassify-Unity
An example of using Tensorflow with Unity for image classification and object detection.
About TFClassify-Unity-Barracuda
Syn-McJ/TFClassify-Unity-Barracuda
An example of using Tensorflow and ONNX models with Unity Barracuda inference engine for image classification and object detection.
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