Book Image

OpenCV with Python Blueprints

By : Michael Beyeler, Michael Beyeler (USD)
Book Image

OpenCV with Python Blueprints

By: Michael Beyeler, Michael Beyeler (USD)

Overview of this book

Table of Contents (14 chapters)
OpenCV with Python Blueprints
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Index

Setting up the app


Before we can get down to the nitty-gritty of our feature-matching algorithm, we need to make sure that we can access the webcam and display the video stream in a simple GUI. Luckily, we have already figured out how to do this in Chapter 1, Fun with Filters.

Running the app

In order to run our app, we will need to execute a main function routine that accesses the webcam, generates the GUI, and executes the main loop of the app:

import cv2
import wx

from gui import BaseLayout
from feature_matching import FeatureMatching


def main():
    capture = cv2.VideoCapture(0)
    if not(capture.isOpened()):
        capture.open()

    capture.set(cv2.cv.CV_CAP_PROP_FRAME_WIDTH, 640)
    capture.set(cv2.cv.CV_CAP_PROP_FRAME_HEIGHT, 480)

    # start graphical user interface
    app = wx.App()

    layout = FeatureMatchingLayout(None, -1, 'Feature Matching', capture)
    layout.Show(True)
    app.MainLoop()

Note

If you are using OpenCV 3, the constants that you are looking for might be...