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Yolov5面部标志检测器的打包版本

项目描述

点安装 y5facegg

从 Python 中使用

用法
import cv2
from y5facegg import Y5FACE

# set model params
model_path = "y5facegg/weights/yolov5s-face.pt"
device = "cuda:0" # or "cpu"

# init yolov5 model
model = Y5FACE(model_path, device)

# load an image
image_path = 'https://github.com/ultralytics/yolov5/blob/master/data/images/bus.jpg'

# perform inference
bgr_image = cv2.imread(image_path)
res_img = model.predict(bgr_image)
cv2.imwrite('result.jpg', res_img)

下载文件

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内置分布

y5facegg-1.0.1-py36.py37.py38-none-any.whl (93.9 kB 查看哈希

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