object_detector 0.5.0

Object detection using ORT and the yoloe-26-seg model. This model can detect multiple objects per image, each having a tag, pixel-level mask, and a boundingbox. It's pretrained, it has a vocabulary of 4000+ objects.
Documentation

object_detector

There is very little structured metadata to build this page from currently. You should check the main library docs, readme, or Cargo.toml in case the author documented the features in them.

This version has 25 feature flags, 5 of them enabled by default.

default

copy-dylibs (default)

download-binaries (default)

hf-hub (default)

promptable (default)

serde (default)

acl

armnn

azure

cann

coreml

cuda

directml

load-dynamic

migraphx

nnapi

nvrtx

onednn

openvino

qnn

rknpu

tensorrt

tvm

vitis

webgpu

xnnpack