OpenCV实现摄像头图像分类（Python版）

先安装MMEdu库！

MMEdu安装：https://blog.youkuaiyun.com/zyl_coder/article/details/132483865

下面的代码请在Jupyter上运行，并自己准备数据集。若模型还未训练，请先在本地训练完模型后再进行模型推理。

import cv2
capture = cv2.VideoCapture(0)
from MMEdu import MMClassification as cls
model = cls(backbone='MobileNet')
checkpoint = '   '   #填写最佳权重文件
model.load_checkpoint( checkpoint = checkpoint)
while True:
    ret, frame = capture.read()
    frame = cv2.flip(frame,1)
    result = model.fast_inference(image=frame, show=False)
    x = model.print_result(result)
    text = ""
    if x[0]['标签'] == 0:
        text = '   '   #图像类别1
    else:
        text = '   '   #图像类别2
    cv2.putText(frame , text, (200, 100),