🐾 Cat Behavior AI: Real-Time Analysis & Forecasting
Unveiling a dual-model system to decode feline behavior with millisecond precision!
Powered by optimized C/C# inference engines and continuous learning via auto-labeling.
✨ Key Features
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Real-Time Action Recognition
currentcatmodel classifies 66 behaviors instantly from single frames (384x384 RGB /4Hz) -
3.25s Behavior Forecasting
catnextpredicts future actions using 13-frame temporal context (C-optimized LSTM) -
TODO: Self-Improving Pipeline
Auto-labels new video data → Continuous model retraining
🚀 Technical Highlights
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Blazing Fast Inference
C-optimized kernels (low latency) -
Robust Vision Pipeline
OpenCV 4.x + Frame failure resilience -
Rich Behavior Taxonomy
"Poops", "Sneaks up", "Jumps upward", "Gets cuddled"... // 66 nuanced classes
🖥️ C# Example Usage
./CatNextInference kittycam.mp4Output:
Predicted action: Stands and looks around
🛠️ Get Started
# Requirements
- C compiler (GCC/Clang)
- .NET 8.0 (C# example)
# Build Library
make CFLAGS=-fno-ltoBecause every cat deserves an extra life ❤️