Python实战：OpenCV教程与实例

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Preface

Computer vision is found everywhere in modern technology. OpenCV for

Python enables us to run computer vision algorithms in real time. With the advent

of powerful machines, we are getting more processing power to work with. Using

this technology, we can seamlessly integrate our computer vision applications into

the cloud. Web developers can develop complex applications without having to

reinvent the wheel. This book is a practical tutorial that covers various examples

at different levels, teaching you about the different functions of OpenCV and their

actual implementations.

What this book covers

Chapter 1, Applying Geometric Transformations to Images, explains how to apply

geometric transformations to images. In this chapter, we will discuss afne and

projective transformations, and see how we can use them to apply cool geometric

effects to photos. The chapter will begin with the procedure to install OpenCV-

Python on multiple platforms such as Mac OS X, Linux, and Windows. We will

also learn how to manipulate an image in various ways, such as resizing, changing

color spaces, and so on.

Chapter 2, Detecting Edges and Applying Image Filters, shows how to use fundamental

image-processing operators and how we can use them to build bigger projects.

We will discuss why we need edge detection and how it can be used in various

different ways in computer vision applications. We will discuss image ltering

and how we can use it to apply various visual effects to photos.

Preface

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Chapter 3, Cartoonizing an Image, shows how to cartoonize a given image using image

lters and other transformations. We will see how to use the webcam to capture a

live video stream. We will discuss how to build a real-time application, where we

extract information from each frame in the stream and display the result.

Chapter 4, Detecting and Tracking Different Body Parts, shows how to detect and track

faces in a live video stream. We will discuss the face detection pipeline and see how

we can use it to detect and track different body parts, such as eyes, ears, mouth, nose,

and so on.

Chapter 5, Extracting Features from an Image, is about detecting the salient points (called

keypoints) in an image. We will discuss why these salient points are important and

how we can use them to understand the image content. We will talk about the different

techniques that can be used to detect salient points and extract features from an image.

Chapter 6, Creating a Panoramic Image, shows how to create a panoramic image by

stitching multiple images of the same scene together.

Chapter 7, Seam Carving, shows how to do content-aware image resizing. We will

discuss how to detect "interesting" parts in an image and see how we can resize a

given image without deteriorating those interesting parts.

Chapter 8, Detecting Shapes and Segmenting an Image, shows how to perform image

segmentation. We will discuss how to partition a given image into its constituent

parts in the best possible way. You will also learn how to separate the foreground

from the background in an image.

Chapter 9, Object Tracking, shows you how to track different objects in a live video

stream. At the end of this chapter, you will be able to track any object in a live video

stream that is captured through the webcam.

Chapter 10, Object Recognition, shows how to build an object recognition system.

We will discuss how to use this knowledge to build a visual search engine.

Chapter 11, Stereo Vision and 3D Reconstruction, shows how to reconstruct the depth

map using stereo images. You will learn how to achieve a 3D reconstruction of a

scene from a set of images.

Chapter 12, Augmented Reality, shows how to build an augmented reality application.

By the end of this chapter, you will be able to build a fun augmented reality project

using the webcam.

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Python实战：OpenCV教程与实例

OpenCV with Python By Example 独家书签修正版 无水印pdf 0分

OpenCV_with_Python_By_Example

OpenCV with Python By Example

opencv_python-4.9.0.80安装

执行pip install opencv_python-3.4.1.15-cp36-cp36m-win_amd64.whl时报错ERROR: opencv_python-3.4.1.15-cp36-cp36m-win_amd64.whl is not a supported wheel on this platform.怎么解决

opencv-python-4.5.3.56.tar.gz

opencv_python-4.5.3.56-cp38-cp38-win_amd64.whl下载地址

opencv_python-4.5.1.48-cp35-cp35m-linux_aarch64.whl

ERROR: Wheel 'opencv-python' located at C:\Users\ranao\AppData\Local\Temp\pip-unpack-h4511ero\opencv_python-4.7.0.72-cp37-abi3-win_amd64 .whl is invalid.

Building wheel for opencv-python (pyproject.toml)

opencv-python的3.3.0.10和3.4.0.14兼容吗

opencv-python教程中文版.pdf

ERROR: opencv_python-3.2.0.8-cp34-cp34m-win_amd64.whl is not a supported wheel on this platform

opencv-python-3.4.10.37有contrib、xfeatures2d模块吗

pythone 安装 opencv_python-4.8.0.74-cp37

虚拟环境Building wheel for opencv-python (pyproject.toml) ... error

opencv_python-4.1.1.26-cp34-cp34m-win32

(pytorch) D:\Python\PythonCharm\STUDY_CNN>conda install opencv-python Collecting package metadata (current_repodata.json): done Solving environment: failed with initial frozen solve. Retrying with flexible solve. Collecting package metadata (repodata.json

Running setup.py bdist_wheel for opencv-contrib-python ...

安装whl显示ERROR: opencv_python-3.4.2.16-cp37-cp37m-win_amd64.whl is not a supported wheel on this platform.

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OpenCV with Python By Example 独家书签修正版无水印pdf 0分