Cross-Platform Application Development with OpenCV 4 and Qt5

The aim of this video is to introduce the student into the QML programming language to create a QtQuick GUI.

   •  Know QML

   •  Work with .qrc files

   •  Theme my app

Here, the student will learn how to create a base GUI for the application we will be developing throughout this course.

   •  Set up and create necessary files

   •  Create a PageStack

   •  Put elements in the GUI

This video will show how to convert an OpenCV Mat object to a QImage Object.

   •  Create a class Frame containing a Mat and a QImage object

   •  Define a function that copies the data from the Mat object to the QImage object

   •  Draw the QImage object into the view

This video shows how to paint a QImage Object into the QtQuick GUI.

   •  Expose the Frame class to QML

   •  Use the Frame class as a QML object in your view

   •  Receive a signal to update the Frame object and show an image in your view

This video teaches the student how to create and manage Threads using Qt.

   •  Create a class that opens a video capture

   •  Create a class that manages threads and moves the video capture to one

   •  Expose the thread manager class to QML

Lastly in here, the student will learn how to use the Threads to show videos in a QtQuick GUI.

   •  Connect the threadmanager class to your view

   •  Run your video capture from QML

   •  Update your view using signals and slots and show a video in QML

Sometimes images have noise. In this video, we will learn how to reduce that noise using the Gaussian filter.

   •  Load an image using OpenCV

   •  Apply the Gaussian blur filter to reduce the noise

   •  Update the view with the new image

In this video, the student will learn how to apply the morphological operations the Erode and the Dilate.

   •  Load an image using OpenCV

   •  Apply the Erode or the Dilate operation

   •  Update the view with the new image

Here, the student will learn how to find contours of objects in an image using the findContours function.

   •  Load an image using OpenCV

   •  Apply the canny filter and colour the objects edges

   •  Update the view with the new image

This video shows how to use the Erode and Dilate functions to search for horizontal and vertical lines in an image.

   •  Load an image using OpenCV

   •  Erode and Dilate image to show the vertical or horizontal lines in the image

   •  Update the view with the new image

In here, the student will learn how to apply a Laplacian filter to search for objects contours in an image.

   •  Load an image using OpenCV

   •  Apply the Laplacian filter

   •  Update the view with the new image

This video shows how to detect objects edges with the canny function.

   •  Load an image using OpenCV

   •  Apply the canny filter

   •  Update the view with the new image

In this video we are going to subtract the background of a video stream an track the objects moving in the foreground.

   •  Grab frames from the video

   •  Apply the subtraction algorithm to mask the background

   •  Show the foreground objects

Here the student is going to learn how to track color in a video.

   •  Grab frames from a video

   •  Track a specific color in the video

   •  Track object of the specific color

This video shows how to capture videos from our webcam.

   •  Grab frames from a camera

   •  Show the input in the QML view

In here we are going to use a Haar Cascade Classifier to detect frontal faces in a video.

   •  Open the Haar Classifier trained model

   •  Use the classifier to detect faces in the frames

   •  Draw boxes surrounding the faces in the frame

In here we are going to implement the YOLO Algorithm to detect objects in a video.

   •  Load the pre-trained models

   •  Configure the neural network

   •  Detect Object in the frame

We are going to use the YOLO output to draw boxes surrounding the detected object.

   •  Search for object coordinates in the frame

   •  Draw boxes surrounding those objects

   •  Update the view

This video shows how to use the classes we already create to implement two thread and to capture two camera inputs at the same time.

   •  Read the input from a camera using its index

   •  Create a thread to run a capture per camera

   •  Call the threads in the view and update it

In this video, we are going to extract some data from the inputs to calibrate the cameras.

   •  Search for a chessboard pattern in the inputs

   •  Draw the inner corners of the chessboard in the screen

   •  Calibrate cameras and calculate the necessary data to rectify images

Here, the student will learn how to save the data extracted in the previous video.

   •  Open a file storage

   •  Write the data

   •  Save and release the file

Here, the student will learn how to read the saved data from a file.

   •  Open the file with a file storage

   •  Read data from file

   •  Release file

In this video, we are going to generate a Depth Map with the information obtained in the previous lesson.

   •  Rectify the input images capture from the cameras

   •  Generate the Depth Maps

   •  Adjust the resulting image to show it in the view

Install and configure OpenCV and QtCreator for Android.

   •  Install Android SDK and NDK

   •  Configure Qt Creator

   •  Compile and Install OpenCV for Android

Create a new Android Virtual Device to run our application.

   •  Download the system image file

   •  Create the Android Virtual Device

   •  Run the Android Virtual Device

Create a class QAndroidActivityResultReceiver that use QAndroidJNIObject to make an intent to the Android Gallery.

   •  Create a method to call create an intent to the Gallery app

   •  Prepare the intent calling Java Android Objects from C++

   •  Make the intent sending a code

Continue extending the class and add a method to receive the URL of an image from the Gallery app.

   •  Create a new method

   •  Prepare a ContentResolver and a Cursor to hold the image url

   •  Use the ContentResolver and the Cursor to parce the url into a string

Checking the default Debugger configuration in Qt Creator and creating a new Debugger.

   •  Check the debugger information in the option menu

   •  Create a Debugger in the option menu

Use the debugging console to print the message and use breakpoints to debug our application.

   •  Include the QDebug library

   •  Use the QDebug macro to print message

   •  Set breakpoints to debug our app

Use the console to log debug information.

   •  Use the console.log statement

   •  Use the console.assert statement

Turn our application into a subproject so that we can add unit test to it.

   •  Create a project and add our app as a subproject

   •  Create a shared library to hold our model classes

   •  Create a Unit Test