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已选条件
  1. 编程语言:Python
  2. 代码类别:图形图象
  3. 发布时间:近三天
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1. 3Dircadb_unet

说明:  对脑肿瘤进行分割 基于3dunet(Brain tumors were segmented based on 3dunet)

7
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103
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2019-10-29发布

2. DensePose-master

  DensePose用深度学习把2D图像坐标映射到3D人体表面上,再加上以每秒多帧的速度处理密集坐标,最后实现动态人物的精确定位和姿态估计。该技术集目标检测、姿态估计、目标部分/实例分割等多种计算机视觉任务于一身的一个综合问题。(DensePost maps 2D image coordinates to 3D human body surface by in-depth learning, and processes dense coordinates at the speed of multiple frames per second. Finally, it realizes precise positioning and attitude estimation of dynamic characters. This technology integrates many kinds of computer vision tasks, such as target detection, attitude estimation, target part/instance segmentation, etc.)

2
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120
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2019-06-17发布

3. DensePose-master

说明:  DensePose用深度学习把2D图像坐标映射到3D人体表面上,再加上以每秒多帧的速度处理密集坐标,最后实现动态人物的精确定位和姿态估计。该技术集目标检测、姿态估计、目标部分/实例分割等多种计算机视觉任务于一身的一个综合问题。(DensePost maps 2D image coordinates to 3D human body surface by in-depth learning, and processes dense coordinates at the speed of multiple frames per second. Finally, it realizes precise positioning and attitude estimation of dynamic characters. This technology integrates many kinds of computer vision tasks, such as target detection, attitude estimation, target part/instance segmentation, etc.)

4
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106
浏览
2019-06-17发布

4. S_NET

  2019最新的神经网络隐写分析网络,对空域频域均可(The newest neural network steganographic analysis network 2019 is applicable to both spatial and frequency domain)

0
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97
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2019-06-06发布

5. S_NET

说明:  2019最新的神经网络隐写分析网络,对空域频域均可(The newest neural network steganographic analysis network 2019 is applicable to both spatial and frequency domain)

3
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75
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2019-06-06发布

6. threshold

  python语言,三种阈值分割方式,简单阈值分割,自适应阈值分割,OTsu分割方式(Python language, three methods of image segmentation , simple threshold segmentation, adaptive threshold segmentation, OTsu segmentation)

2
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91
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2019-04-06发布

7. threshold

说明:  python语言,三种阈值分割方式,简单阈值分割,自适应阈值分割,OTsu分割方式(Python language, three methods of image segmentation , simple threshold segmentation, adaptive threshold segmentation, OTsu segmentation)

8
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121
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2019-04-06发布

8. code

  提取视频中的图片,每一帧的信息,把视频分为图片信息(get picture of video)

1
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101
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2019-03-21发布

9. code

说明:  提取视频中的图片,每一帧的信息,把视频分为图片信息(get picture of video)

1
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119
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2019-03-21发布

10. python pca svm

  python实现人脸识别,通过pca进行降维然后使用SVM算法进行分类(Python realizes face recognition, dimensionality reduction through pca and classification by SVM algorithm)

14
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125
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2019-03-05发布

11. python pca svm

说明:  python实现人脸识别,通过pca进行降维然后使用SVM算法进行分类(Python realizes face recognition, dimensionality reduction through pca and classification by SVM algorithm)

18
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95
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2019-03-05发布

12. Point Cloud Mosaic Using PCL

  PCL是一个类似于OpenCV的开源库,提供了很多三维点云的处理功能,其中就包括点云拼接。在三维扫描项目中,需要利用点云拼接方法将多次扫描得到的点云数据拼合成一个整体。在本例中,用一幅包含人脸的深度图像去匹配之前获得的人脸模板,这将使我们能够确定人脸在场景中的位置和方向。(PCL is an open source library similar to OpenCV, which provides a lot of processing functions for three-dimensional point clouds, including point cloud mosaic. In the three-dimensional scanning project, it is necessary to use point cloud mosaic method to combine the point cloud data obtained from multiple scans into a whole. In this example, a depth image containing face is used to match the face template obtained before, which will enable us to determine the position and direction of the face in the scene.)

11
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108
浏览
2019-02-19发布

13. Point Cloud Mosaic Using PCL

说明:  PCL是一个类似于OpenCV的开源库,提供了很多三维点云的处理功能,其中就包括点云拼接。在三维扫描项目中,需要利用点云拼接方法将多次扫描得到的点云数据拼合成一个整体。在本例中,用一幅包含人脸的深度图像去匹配之前获得的人脸模板,这将使我们能够确定人脸在场景中的位置和方向。(PCL is an open source library similar to OpenCV, which provides a lot of processing functions for three-dimensional point clouds, including point cloud mosaic. In the three-dimensional scanning project, it is necessary to use point cloud mosaic method to combine the point cloud data obtained from multiple scans into a whole. In this example, a depth image containing face is used to match the face template obtained before, which will enable us to determine the position and direction of the face in the scene.)

14
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129
浏览
2019-02-19发布

14. 深度

  调用标定好的双目摄像机,利用其内外参数进行立体匹配,计算所拍图像的视差,产生深度图(Call the calibrated binocular camera, use its internal and external parameters for stereo matching, calculate the parallax of the captured image, and generate depth map)

3
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90
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2019-01-18发布

15. 深度

说明:  调用标定好的双目摄像机,利用其内外参数进行立体匹配,计算所拍图像的视差,产生深度图(Call the calibrated binocular camera, use its internal and external parameters for stereo matching, calculate the parallax of the captured image, and generate depth map)

8
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103
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2019-01-18发布

16. 前景提取

  视频中静态目标背景下运动的物体的前景提取算法的实现。(The foreground extraction algorithm for moving objects in static background is implemented in video.)

3
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98
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2018-09-22发布

17. ImageSimilarity

  计算img文件夹内所有图像之间的相似度,并根据相似度排序,呈现每个图片的最相似图片结果(calculate the image similarity of each pic in img filedir)

18
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120
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2018-05-20发布

18. TensorFlow-Examples-master

  基于Tensorflow的Unet实现,里面有详细的教程。(TensorFlow for Unet, in which there are detailed teaching lecture.)

12
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88
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2018-04-01发布

19. 作业一

  实现简单的灰度图像均衡化。使用python编写,程序简单易懂。(This file contains program about image equalization.)

2
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123
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2017-11-05发布

20. exp_2_1

  Iris数据集,计算协方差矩阵和相关系数矩阵和kl变换(The goal of this programming experiment is to: Calculate the covariance matrix and the correlation coefficient matrix of the Iris data set. Perform the Karhunen-Loeve transform on this data set.)

3
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105
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2017-10-06发布