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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

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