80类物体识别
==============


Python示例
-----------

.. literalinclude:: /_static/products/aicamera-k230d/_static/python-examples/80类物体识别.py
    :caption: 例程：80类物体识别.py
    :name: 车80类物体识别.py


mPython图形化示例
-----------------
.. figure:: /_static/products/aicamera-k230d/_static/image/example/80类.png
    :align: center
    :width: 1080


函数方法
-----------

.. function:: smart_camera.model_init(cur_state)
    :noindex:

    实例化模型

    :param cur_state: 初始化模型id
    :type cur_state: int

例::

    smart_camera.model_init(2)


.. class:: smart_camera.yolo_detect

    .. method:: recognize()
        :noindex:

        运行识别


.. class:: smart_camera.yolo_detect

    80类实例

   :var int id: 80类类别id 范围：0-79 
   :var list category_list: 80类物体列表， ["人","自行车","汽车","摩托车","飞机","公共汽车","火车","卡车","船","交通灯","消防栓","停车标志","泊车计时器","长椅","鸟","猫","狗","马","绵羊","奶牛","大象","熊","斑马","长颈鹿","背包","雨伞","手提包","领带","手提箱","飞盘","滑雪板","运动球","风筝","棒球","蝙蝠","棒球手套","滑板","冲浪板","网球拍","瓶子","酒杯","杯子","叉子","刀","勺子","碗","香蕉","苹果","三明治","橙子","西兰花","胡萝卜","热狗","披萨","甜甜圈","蛋糕","椅子","沙发","盆栽","床","餐桌","厕所","电视","笔记本电脑","鼠标","遥控器","键盘","手机","微波炉","烤箱","烤面包机", "水槽","冰箱","书籍","时钟","花瓶","剪刀","泰迪熊","吹风机","牙刷"] 
   :var float max_score: 置信度 范围：0-100