Core engine for Armanid object detection — by Epic Rabbit
Project description
Epic Rabbit
Core detection engine for Armanid — by Epic Rabbit
Epic Rabbit is the high-performance engine that powers the Armanid object detection library. It provides a complete, standalone computer vision backend with no external detection framework dependencies.
Installation
pip install epic-rabbit
pip install armanid
Quick Start
from armanid import Armanid
model = Armanid("armanid-nano")
results = model.detect("image.jpg")
results[0].show()
Webcam Detection
from armanid import Armanid
from armanid.utils import run_webcam
model = Armanid("armanid-nano")
run_webcam(model, cam_index=0, conf=0.25)
Available Models
| Model | Size | Speed |
|---|---|---|
| armanid-nano | ~6MB | Fastest |
| armanid-small | ~22MB | Fast |
| armanid-medium | ~50MB | Balanced |
| armanid-large | ~84MB | Accurate |
| armanid-xlarge | ~131MB | Most Accurate |
Features
- Object Detection
- Instance Segmentation
- Pose Estimation
- Object Tracking
- Train on custom datasets
- Export to ONNX, TFLite, CoreML
License
MIT License — Epic Rabbit
Project details
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