meta-om 0.1.1

Meta OM Toolkit

metaom

metaom部署通用框架

1、安装最新版 meta-cv

pip install meta-cv

2、安装最新版 meta-om

pip install meta-om

3、目标检测示例（参考detection_demo.py代码）

import cv2, platform
import metaom as m

Detection = m.Detection

y = Detection(
    model_path='models/yolov8m-seg_quantized_model.om',
    input_width=640,
    input_height=480,
    use_preprocess=True,
    pad=True,
    confidence_thresh=0.5,
    nms_thresh=0.3,
    class_names=classnames,
    device_id=0)

batch_size = 1
img = cv2.imread('models/bus.jpg')
img_list = [img[:, :, ::-1]] * batch_size if batch_size > 1 else img[:, :, ::-1]
_dets, _scores, _labels = y.predict(img_list)

# 显示
y.show(img, _dets[-1], _scores[-1], _labels[-1])
cv2.imwrite("models/bus.png", img)

4、实例分割示例（参考segment_demo.py代码）

import cv2, platform
import metaom as m

Segment = m.Segment

y = Segment(
    model_path='models/yolov8m-seg_quantized_model.om',
    input_width=640,
    input_height=480,
    use_preprocess=True,
    pad=True,
    confidence_thresh=0.5,
    nms_thresh=0.3,
    class_names=classnames,
    device_id=0)

batch_size = 1
img = cv2.imread('models/bus.jpg')
img_list = [img[:, :, ::-1]] * batch_size if batch_size > 1 else img[:, :, ::-1]
_dets, _scores, _labels = y.predict(img_list)

# 显示
y.show(img, _dets[-1], _scores[-1], _labels[-1])
cv2.imwrite("models/bus.png", img)