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mmdetection-master

于 2020-06-19 发布 文件大小:7666KB
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下载积分: 1 下载次数: 2

代码说明:

  基于mmdetection框架的深度学习目标检测框架(deep learning object detection based on mmdetection)

文件列表:

mmdetection-master, 0 , 2019-07-31
mmdetection-master\.git, 0 , 2019-07-31
mmdetection-master\.git\COMMIT_EDITMSG, 40 , 2019-07-04
mmdetection-master\.git\HEAD, 23 , 2019-07-04
mmdetection-master\.git\config, 130 , 2019-07-04
mmdetection-master\.git\description, 73 , 2019-07-04
mmdetection-master\.git\hooks, 0 , 2019-07-04
mmdetection-master\.git\hooks\applypatch-msg.sample, 478 , 2019-07-04
mmdetection-master\.git\hooks\commit-msg.sample, 896 , 2019-07-04
mmdetection-master\.git\hooks\post-update.sample, 189 , 2019-07-04
mmdetection-master\.git\hooks\pre-applypatch.sample, 424 , 2019-07-04
mmdetection-master\.git\hooks\pre-commit.sample, 1642 , 2019-07-04
mmdetection-master\.git\hooks\pre-push.sample, 1348 , 2019-07-04
mmdetection-master\.git\hooks\pre-rebase.sample, 4951 , 2019-07-04
mmdetection-master\.git\hooks\prepare-commit-msg.sample, 1239 , 2019-07-04
mmdetection-master\.git\hooks\update.sample, 3610 , 2019-07-04
mmdetection-master\.git\index, 42003 , 2019-07-31
mmdetection-master\.git\info, 0 , 2019-07-04
mmdetection-master\.git\info\exclude, 240 , 2019-07-04
mmdetection-master\.git\logs, 0 , 2019-07-04
mmdetection-master\.git\logs\HEAD, 366 , 2019-07-04
mmdetection-master\.git\logs\refs, 0 , 2019-07-04
mmdetection-master\.git\logs\refs\heads, 0 , 2019-07-04
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mmdetection-master\.git\objects, 0 , 2019-07-08
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    tld目标跟踪算法,很适合初学者,实时性很好。(To promote the informationization of the global Internet revolution, for global range of information processing and communication provides the operating platform,)
    2014-05-15 19:42:36下载
    积分:1
  • 111
    ansys中建立的塔线模型,方便后续计算(Tower-line model established in ANSYS is convenient for subsequent calculation)
    2020-06-18 00:20:01下载
    积分:1
  • fractalfenxingwei
    一个分形维的代码,用差分盒维计算图像的分形维值!还不错!(a fractal dimension of the code, with the difference box dimension calculations images of fractal dimension values! Also good!)
    2005-07-29 20:28:33下载
    积分:1
  • bp-classification
    使用bp(反向传播算法)实现分类问题,并观察分类过程中误差的变化。(Use bp (back-propagation algorithm) to achieve the classification and observe the changes in classification process in the error.)
    2009-12-27 09:32:56下载
    积分:1
  • fuse_lap
    用拉普拉斯金字塔的方法,对两幅聚焦位置不同的图象进行融合处理,获得更清晰的图象。(Laplace pyramid, focusing on two different positions of the image fusion, more clearer picture.)
    2007-05-15 09:39:25下载
    积分:1
  • wave2gray
    说明:  用小波的方法对图像进行二值化操作÷ 效果不错(wavelet methods of image binarization good operating results )
    2005-12-01 12:45:45下载
    积分:1
  • 像融合算法
    针对电气设备同一场景的红外与可见光图像间一致特征难以提取和匹配的问题,提出了一种基于斜率一致性的配准方法。首先通过数学形态学方法分别提取红外与可见光图像的边缘,得到粗边缘图像;然后通过SURF算法提取两幅边缘图像的特征点,根据正确的匹配点对之间斜率一致性的先验知识,进行特征点匹配;最后通过最小二乘法求得仿射变换模型参数并实现两幅图像的配准。实验结果表明,该方法有效提高了匹配点对的正确率,能够对电气设备红外和可见光图像实现高精度的配准。(In this paper, a method based on slope consistency is proposed to solve the problem that the uniform features of infrared and visible images are difficult to extract and match. Firstly, the edges of infrared and visible images were extracted by mathematical morphology, and the rough edge images were obtained. Then, the feature points of two edge images were extracted by SURF algorithm, and the priori knowledge of slope consistency was obtained according to the correct matching point, and the feature points were matched. Finally, the model parameters of affine transformation are obtained by least square method and the registration of two images is realized. The experimental results show that this method can effectively improve the accuracy of matching points, and can realize high precision registration of infrared and visible images of electrical equipment.)
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    2009-11-06 12:58:19下载
    积分:1
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    对Lorenz系统混沌吸引子的仿真,直接能用。(The simulation of the chaotic attractor of the Lorenz system can be used directly.)
    2017-12-26 17:03:08下载
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