• python opencv KeyPoint


    cv::KeyPoint::KeyPoint    (    
        Point2f     _pt,
        float     _size,
        float     _angle = -1,
        float     _response = 0,
        int     _octave = 0,
        int     _class_id = -1 
    )

    Parameters

    _pt x & y coordinates of the keypoint
    _size keypoint diameter
    _angle keypoint orientation
    _response keypoint detector response on the keypoint (that is, strength of the keypoint)
    _octave pyramid octave in which the keypoint has been detected
    _class_id object id

    (397.0, 384.0)
    (398.0, 384.0)
    (399.0, 384.0)
    (461.0, 384.0)
    (369.0, 385.0)
    (370.0, 385.0)
    (375.0, 385.0)
    (396.0, 385.0)
    (397.0, 385.0)
    (398.0, 385.0)
    (459.0, 385.0)
    (460.0, 385.0)
    (461.0, 385.0)
    (12.0, 386.0)
    (362.0, 386.0)
    (375.0, 386.0)
    (397.0, 386.0)
    (446.0, 386.0)
    (461.0, 386.0)
    (513.0, 386.0)
    (539.0, 386.0)
    (354.0, 387.0)
    (362.0, 387.0)
    (401.0, 387.0)
    (446.0, 387.0)
    (447.0, 387.0)
    (43.0, 388.0)
    (354.0, 388.0)
    (360.0, 388.0)
    (361.0, 388.0)
    (363.0, 388.0)
    (516.0, 388.0)
    (360.0, 389.0)
    (361.0, 389.0)
    (407.0, 389.0)
    (408.0, 389.0)
    (512.0, 389.0)
    (380.0, 390.0)
    (407.0, 390.0)
    (408.0, 390.0)
    (409.0, 390.0)
    (395.0, 391.0)
    (407.0, 391.0)
    (408.0, 391.0)
    (409.0, 391.0)
    (511.0, 391.0)
    (412.0, 392.0)
    (413.0, 393.0)
    (415.0, 393.0)
    (379.0, 394.0)
    (412.0, 394.0)
    (413.0, 394.0)
    (414.0, 394.0)
    (415.0, 394.0)
    (416.0, 394.0)
    (379.0, 395.0)
    (389.0, 395.0)
    (412.0, 395.0)
    (413.0, 395.0)
    (415.0, 395.0)
    (417.0, 395.0)
    (418.0, 395.0)
    (423.0, 395.0)
    (435.0, 395.0)
    (417.0, 396.0)
    (418.0, 396.0)
    (435.0, 396.0)
    (417.0, 397.0)
    (418.0, 397.0)
    (351.0, 398.0)
    (352.0, 398.0)
    (505.0, 398.0)
    (559.0, 398.0)
    (489.0, 399.0)
    (441.0, 400.0)
    (489.0, 400.0)
    (441.0, 401.0)
    (442.0, 401.0)
    (405.0, 407.0)
    (460.0, 407.0)
    (368.0, 408.0)
    (449.0, 412.0)
    (450.0, 413.0)
    (451.0, 413.0)
    (459.0, 415.0)
    (457.0, 416.0)
    (458.0, 416.0)
    (459.0, 416.0)
    (460.0, 416.0)
    (461.0, 416.0)
    (399.0, 417.0)
    (459.0, 417.0)
    (460.0, 417.0)
    (462.0, 417.0)
    (399.0, 418.0)
    (459.0, 418.0)
    (461.0, 418.0)
    (460.0, 419.0)
    (463.0, 419.0)
    (482.0, 419.0)
    (123.0, 420.0)
    (458.0, 420.0)
    (459.0, 420.0)
    (460.0, 420.0)
    (482.0, 420.0)
    (483.0, 420.0)
    (459.0, 421.0)
    (482.0, 421.0)
    (483.0, 421.0)
    (474.0, 426.0)
    (484.0, 426.0)
    (120.0, 427.0)
    (122.0, 427.0)
    (474.0, 427.0)
    (483.0, 427.0)
    (484.0, 427.0)
    (95.0, 428.0)
    (120.0, 428.0)
    (121.0, 428.0)
    (483.0, 428.0)
    (484.0, 428.0)
    (87.0, 429.0)
    (88.0, 429.0)
    (95.0, 429.0)
    (96.0, 429.0)
    (483.0, 429.0)
    (346.0, 433.0)
    (91.0, 435.0)
    (335.0, 441.0)
    (519.0, 442.0)
    (497.0, 444.0)
    (524.0, 444.0)
    (493.0, 445.0)
    (494.0, 445.0)
    (497.0, 445.0)
    (492.0, 446.0)
    (493.0, 446.0)
    (494.0, 446.0)
    (492.0, 447.0)
    (493.0, 447.0)
    (513.0, 448.0)
    (514.0, 448.0)
    (494.0, 449.0)
    (511.0, 449.0)
    (513.0, 449.0)
    (514.0, 449.0)
    (515.0, 449.0)
    (398.0, 450.0)
    (510.0, 450.0)
    (511.0, 450.0)
    (512.0, 450.0)
    (514.0, 450.0)
    (444.0, 451.0)
    (475.0, 451.0)
    (494.0, 451.0)
    (510.0, 451.0)
    (511.0, 451.0)
    (516.0, 451.0)
    (517.0, 451.0)
    (444.0, 452.0)
    (445.0, 452.0)
    (446.0, 452.0)
    (447.0, 452.0)
    (516.0, 452.0)
    (517.0, 452.0)
    (442.0, 453.0)
    (444.0, 453.0)
    (445.0, 453.0)
    (446.0, 453.0)
    (517.0, 453.0)
    (477.0, 458.0)
    (187.0, 459.0)
    (476.0, 459.0)
    (476.0, 460.0)
    (477.0, 460.0)
    (360.0, 461.0)
    (173.0, 468.0)
    (399.0, 472.0)
    (399.0, 473.0)
    (111.0, 475.0)
    (112.0, 475.0)
    (177.0, 475.0)
    (185.0, 475.0)
    (398.0, 475.0)
    (111.0, 476.0)
    (112.0, 476.0)
    (113.0, 476.0)
    (181.0, 476.0)
    (185.0, 476.0)
    (332.0, 476.0)
    (333.0, 476.0)
    (398.0, 476.0)

  • 相关阅读:
    比较重量(网易笔试题)
    抽象工厂模式
    简单工厂模式
    R语言dai xie
    Hadoop综合大作业
    hive基本操作与应用
    用mapreduce 处理气象数据集
    熟悉常用的HBase操作,编写MapReduce作业
    爬虫大作业
    第三章 熟悉常用的HDFS操作
  • 原文地址:https://www.cnblogs.com/herd/p/12845911.html
Copyright © 2020-2023  润新知