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  1. 编程语言:Python
  2. 代码类别:OpenCV
  3. 发布时间:不限
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1. S1IM159.【已完成】基于SVM的烟雾识别系统

说明:  基于SVM的烟雾识别系统 运动区域提取使用的是 自适应混合高斯背景建模 特征算法使用的是 HOG+LBP 机器学习方法使用的是 scikit的SVM(Smoke recognition system based on SVM The moving region extraction uses adaptive Gaussian mixture background modeling feature algorithm, hog + LBP machine learning method and scikit SVM)

2
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54
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2020-09-28发布

2. MSRCR

  使用Python-OpenCV实现的MSRCR算法,可以用于水下图像的复原(An algorithm base on Python-OpenCV. Using MSRCR measure which can be used for underwater image restoration.)

4
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101
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2020-08-27发布

3. MSRCR

说明:  使用Python-OpenCV实现的MSRCR算法,可以用于水下图像的复原(An algorithm base on Python-OpenCV. Using MSRCR measure which can be used for underwater image restoration.)

14
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53
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2020-08-27发布

4. Vehicle-Detection-YOLO-keras-master

说明:  通过代码实现对图片和视频中车辆的检测与识别(Through the code to achieve the detection and recognition of vehicles in pictures and videos)

2
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58
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2020-08-06发布

5. 有效检测烟雾,识别率高,机器学习cnn_evaluation_smoke-master

说明:  此代码简单易学,能有效检测烟雾,识别率高,机器学习。(This code is easy to learn, can effectively detect smoke, high recognition rate, machine learning.)

5
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90
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2020-07-07发布

6. person

说明:  行人的检测使用库函数OpenCV里已经内置的行人检测方法,调用OpenCV预先训练好了的HOG+线性SVM模型,能够对图像和视频中的行人进行检测,系统会分别使用两种算法通过矩形条框将图片中的行人框出来。(Pedestrian detection uses the built-in pedestrian detection method in OpenCV library function, calling the pre-trained HOG + linear SVM model of OpenCV, which can detect the pedestrians in images and videos. The system uses two algorithms to frame the pedestrians in pictures through rectangular bars.)

0
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51
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2020-07-01发布

7. findpoint

  可以利用python opencv实现获取图像上鼠标点击的点的像素的坐标(Python opencv can be used to obtain the coordinates of the pixels clicked by the mouse on the image)

2
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71
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2020-06-25发布

8. findpoint

说明:  可以利用python opencv实现获取图像上鼠标点击的点的像素的坐标(Python opencv can be used to obtain the coordinates of the pixels clicked by the mouse on the image)

3
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66
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2020-06-25发布

9. Python and OpenCV for starter

  基于python的opencv学习资料,非常适合入门者学习。(Opencv learning materials based on Python are very suitable for beginners.)

0
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54
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2020-06-24发布

10. Python and OpenCV for starter

说明:  基于python的opencv学习资料,非常适合入门者学习。(Opencv learning materials based on Python are very suitable for beginners.)

2
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33
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2020-06-24发布

11. labelpoint_affine.py

  手动选择三对特征点,标注特征点,实现二维图像的仿射配准;每完成一对需要按Q键进行下一对;平台是Spyter(Radiation registration by labeling feature points)

0
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89
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2020-06-23发布

12. labelpoint_affine.py

说明:  手动选择三对特征点,标注特征点,实现二维图像的仿射配准;每完成一对需要按Q键进行下一对;平台是Spyter(Radiation registration by labeling feature points)

1
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81
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2020-06-23发布

13. imageshot

  This is about image programming.

0
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58
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2020-06-23发布

14. imageshot

说明:  This is about image programming.

1
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38
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2020-06-23发布

15. sift stitch基于opencv库的拼接算法 huidu

说明:  sift stitch基于opencv库的拼接算法小测试(sift stitch Small test of Mosaic algorithm based on opencv library)

4
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50
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2020-06-19发布

16. huidu

  sift stitch基于opencv库的拼接算法小测试(sift stitch Small test of Mosaic algorithm based on opencv library)

0
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71
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2020-06-19发布

17. knn

说明:  通过knn分类算法识别魔方的色块颜色,加入是否识别成功判断,成功识别率比阈值法识别更高。有完整的备注(Through the KNN classification algorithm to identify the color block of the cube, the success rate is higher than the threshold method. Code has complete comments)

0
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44
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2020-06-09发布

18. 11

说明:  实现目标检测的代码,前期还需自己搭建框架(To achieve the target detection code, you need to build the framework yourself)

0
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54
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2020-05-21发布

19. 23.人脸识别

说明:  opencv人脸识别例程,平时自学时编写,可当作笔记使用,忘记时拿出来翻翻(Opencv face recognition routine, usually written in self-study, can be used as notes, and can be taken out and turned over when forgetting)

4
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51
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2020-04-24发布

20. ImageStich

说明:  基于OpenCV计算机视觉库,对进行全景图像拼接(Panoramic image mosaic based on OpenCV Computer Vision Library)

3
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95
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2020-04-13发布