CLI Reference¶

`opendetect`¶

Top-level command currently exposes version output.

opendetect --version

`opendetect-infer`¶

Run object detection on an image or video.

Required input:

--image PATH or --video PATH (unless --list-classes)

Model selection:

--model-id (preferred)
--model-name (rfdetr, yolox, rtmdet, or bytetrack)
--model PATH (local ONNX model)
--input-size HxW

Runtime:

--no-hardware-acceleration
--tensor-rt
--mixed-precision

Filtering:

--classes ID [ID ...]
--class-names NAME [NAME ...]
--list-classes

Output:

--output PATH
--max-frames N (video mode)

Model download controls:

--no-download
--cache-dir PATH

`opendetect-benchmark`¶

Benchmark model pipeline speed.

Modes:

--mode dummy with --iterations, --dummy-height, --dummy-width, --seed
--mode video with --video and optional --max-frames

Shared controls:

model and runtime flags from opendetect-infer
--warmup
--threshold
--num-select
class filters (--classes, --class-names, --list-classes)

Reported metrics include stage latency stats, pipeline FPS, and inference-only FPS.

`opendetect-models`¶

Inspect model metadata and download artifacts.

Subcommands:

list
info MODEL_ID
download MODEL_ID [--cache-dir PATH] [--force]

`opendetect-simplify`¶

Simplify ONNX graphs using ONNX GraphSurgeon.

Usage:

opendetect-simplify INPUT.onnx [--output OUTPUT.onnx] [--no-fold-constants] [--no-infer-shapes] [--no-check]