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所在平台: Udemy |
课程主页: https://www.udemy.com/course/image-processing-and-computer-vision-with-python-opencv/
课程评论：没有评论
课程名称：使用Python和OpenCV进行图像处理与计算机视觉 课程概述：图像处理与计算机视觉的领域广泛且复杂，它在深度学习等多个行业中扮演着重要角色。本课程旨在将多项相关主题整合在一起，内容包括： 1. 使用Python进行图像处理（skimage），90%动手实践与10%理论知识。 2. 使用OpenCV进行图像处理和计算机视觉，90%动手实践与10%理论知识。 3. OpenCV中的形态学操作，90%动手实践与10%理论知识。 4. OpenCV中的人脸检测，90%动手实践与10%理论知识。 5. OpenCV中的特征检测，90%动手实践与10%理论知识。 6. 使用skimage进行图像匹配，90%动手实践与10%理论知识。 7. OpenCV中的目标检测，90%动手实践与10%理论知识。 8. OpenCV中的数字识别，90%动手实践与10%理论知识。 9. 自主车辆检测与运动，90%动手实践与10%理论知识。 10. 对于图像处理与计算机视觉有帮助的深度学习概念，90%动手实践与10%理论知识。 11. 数据科学视角下的Python实践，90%动手实践与10%理论知识。 12. 课程作业将使您在图像处理与计算机视觉中获得动手实践经验。 13. 在图像处理与计算机视觉中有用的机器学习实践，90%动手实践与10%理论知识。 14. 其他许多有用的图像处理与计算机视觉主题，90%动手实践与10%理论知识。 通过该课程，学习者将获得扎实的实践经验，掌握图像处理和计算机视觉的核心技能。
The Image Processing and Computer Vision world is too big to comprehend. It has been backbone of many industry including Deep Learning. It is used across multiple places. As practitioner, I am trying to bring many relevant topics under one umbrella in following topics. 1. Image Processing with Python (skimage) (90% hands on and 10% theory)2. Image Processing and Computer Vision with OpenCV (90% hands on and 10% theory)3. Morphological operations with OpenCV (90% hands on and 10% theory)4. Face detection with OpenCV (90% hands on and 10% theory)5. Feature detection with OpenCV (90% hands on and 10% theory)6. Image matching with skimage (90% hands on and 10% theory)7. Object detection with OpenCV (90% hands on and 10% theory)8. Digit recognition with OpenCV (90% hands on and 10% theory)9. Autonomous vechile detection and movement. (90% hands on and 10% theory)10. Deep learning concepts useful for Image Processing and Computer Vision. (90% hands on and 10% theory)11. Python practice from Data Science point of view. (90% hands on and 10% theory)12. The assignment will make you hands-on in Image Processing and Computer Vision.13. ML practice useful for Image Processing and Computer Vision. (90% hands on and 10% theory)14. Many other useful topics in Image Processing and Computer Vision. (90% hands on and 10% theory)
