首页下载资源大数据基于opencv的图像识别基础库

ZIP基于opencv的图像识别基础库

2301_8048821428.46MB需要积分:1

资源文件列表:

image_registration-master.zip 大约有57个文件
  1. image_registration-master/
  2. image_registration-master/LICENSE 11.09KB
  3. image_registration-master/README.md 736B
  4. image_registration-master/benchmark/
  5. image_registration-master/benchmark/benchmark.py 5.71KB
  6. image_registration-master/benchmark/images/
  7. image_registration-master/benchmark/images/1.PNG 10.13MB
  8. image_registration-master/benchmark/images/2.png 719.75KB
  9. image_registration-master/benchmark/plot.py 7.79KB
  10. image_registration-master/benchmark/result/
  11. image_registration-master/benchmark/result/Figure_1.png 312.2KB
  12. image_registration-master/benchmark/result/high_dpi.json 959.54KB
  13. image_registration-master/benchmark/result/result.png 168.38KB
  14. image_registration-master/docs/
  15. image_registration-master/docs/images/
  16. image_registration-master/docs/images/bl_1280x720.png 261.1KB
  17. image_registration-master/docs/images/bl_2532x1170.png 2.49MB
  18. image_registration-master/docs/introduction.md 16.47KB
  19. image_registration-master/image_registration/
  20. image_registration-master/image_registration/__init__.py 41B
  21. image_registration-master/image_registration/exceptions.py 1.25KB
  22. image_registration-master/image_registration/matching/
  23. image_registration-master/image_registration/matching/__init__.py 151B
  24. image_registration-master/image_registration/matching/keypoint/
  25. image_registration-master/image_registration/matching/keypoint/__init__.py 143B
  26. image_registration-master/image_registration/matching/keypoint/akaze/
  27. image_registration-master/image_registration/matching/keypoint/akaze/__init__.py 25B
  28. image_registration-master/image_registration/matching/keypoint/akaze/akaze.py 1.32KB
  29. image_registration-master/image_registration/matching/keypoint/akaze/akaze.pyi 797B
  30. image_registration-master/image_registration/matching/keypoint/base.py 23.74KB
  31. image_registration-master/image_registration/matching/keypoint/base.pyi 4.09KB
  32. image_registration-master/image_registration/matching/keypoint/orb/
  33. image_registration-master/image_registration/matching/keypoint/orb/__init__.py 31B
  34. image_registration-master/image_registration/matching/keypoint/orb/orb.py 4.73KB
  35. image_registration-master/image_registration/matching/keypoint/orb/orb.pyi 1.49KB
  36. image_registration-master/image_registration/matching/keypoint/sift/
  37. image_registration-master/image_registration/matching/keypoint/sift/__init__.py 23B
  38. image_registration-master/image_registration/matching/keypoint/sift/sift.py 1.3KB
  39. image_registration-master/image_registration/matching/keypoint/sift/sift.pyi 718B
  40. image_registration-master/image_registration/matching/keypoint/surf/
  41. image_registration-master/image_registration/matching/keypoint/surf/__init__.py 23B
  42. image_registration-master/image_registration/matching/keypoint/surf/surf.py 1.3KB
  43. image_registration-master/image_registration/matching/keypoint/surf/surf.pyi 784B
  44. image_registration-master/image_registration/matching/template/
  45. image_registration-master/image_registration/matching/template/__init__.py 101B
  46. image_registration-master/image_registration/matching/template/matchTemplate.py 8.76KB
  47. image_registration-master/image_registration/matching/template/matchTemplate.pyi 2.04KB
  48. image_registration-master/image_registration/utils/
  49. image_registration-master/image_registration/utils/__init__.py 4.49KB
  50. image_registration-master/image_registration/utils/__init__.pyi 1.11KB
  51. image_registration-master/main.py 544B
  52. image_registration-master/requirements.txt 16B
  53. image_registration-master/tests/
  54. image_registration-master/tests/image/
  55. image_registration-master/tests/image/1.png 1.45MB
  56. image_registration-master/tests/image/4.png 2.8MB
  57. image_registration-master/tests/image/6.PNG 10.13MB

资源介绍:

简单的理解: 用于描述图像特征的关键点 常见的特征点提取算法: SIFT: 尺度不变特征变换. opencv只有cpu实现 SURF: surf的加速算法. opencv有cpu和cuda实现 ORB: 使用FAST特征检测和BRIEF特征描述子. opencv有cpu和cuda实现 他们的好处是什么: 尺度和旋转不变性,说白了就是兼容不同分辨率、旋转、尺度的变换 速度排序: ORB(cuda)>SURF(cuda)>ORB>SURF>SIFT 效果排序(效果不止是特征点的数量,更重要的是特征点的质量): SIFT>ORB>SURF
100+评论
captcha