Opencv, Python samples, page 1

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Python Opencv Pages - 1 2 3


1	Py-cv-image Python program, to explain cv2..imshow() method

2	Py-Webcam-Views Python program, Capture Video Frames from a Webcam in OpenCV

3	Py-Mesh_Module Python program, Creating a face mesh using OpenCV and mediapipe

OpenCV

Py-cv-image Python program, to explain cv2.imshow() method

Py-cv-image Python program, Python program to explain cv2.imshow() method
step 1: Reading an image and Displaying the image - cv2.imshow() method
step 2: Concatenated 3 Images - cv2.imshow() method

Create a new Python project In Visual Studio 2022

the Microsoft Visual Studio (... or 2019 or 2022) is a powerful IDE for Python language
Open/Run Microsoft Visual Studio 2022

To view Python templates, search for python.

Select the Python Application template, and select Next.

Create a new Python project In Visual Studio 2022
        On the Configure your new project screen -   (specify a name and file location for the project, and then select Create)
        Project name: Py-cv-image
        Location: C:\Users\...\source\repos    (default location for Visual Studio 2022)

The new project opens in Visual Studio 2022 - (Visual Studio 2022 Compiler - IDE, to compile Python project / file )

The Visual Studio Solution Explorer window shows the project structure

Python Project Properieties - Py-cv-image

Projct Folder: C:\Users\...\source\repos\Py-cv-image
Startup File: Py_cv_image.py
Project file: Py-cv-image.sln

Download Python Project : Py-cv-image.zip - (168 KB zip file) Download
Project consist of:
One Python Form - (Py_cv_image.py )

Download Python Project : Py-cv-image.zip - (168 KB zip file) Download

Install numpy and opencv in Python on Windows Operating System, Using Command Prompt

1- Install numpy in Python on Windows Operating System, Using Command Prompt

pip install numpy

2- Install opencv CV in Python on Windows Operating System, Using Command Prompt

Step 1 - Run the Command Prompt on Windows Operating System:

               Command Prompt is an application on most Windows computers that directly communicates with the operating system
               How to open the Command Prompt: Press the Windows key + r. In the Run box, type cmd, and then click Ok.

Step 2 - install opencv-python:
In the Command prompt, use the following pip command to install the opencv library
pip install opencv-python

Note: Is cv2 the same as OpenCV, cv2 (old interface in old OpenCV versions was named as cv ) is the name that OpenCV

Source Code of Python Project - Py-cv-image:

Download this Source Code at python file: Py_cv_image.py - (1.07 KB Python file) download

Continue

Py_cv_image.py Python Code, to explain cv2.imshow() method

# Python program to explain cv2.imshow() method

import cv2

import numpy as np

# step 1 display image -

# path

path = r'C:\Users\...\source\repos\Py-cv-image\Py-cv-image\geeks14.png'

# Reading an image in default mode

image = cv2.imread(path)

# Window name in which image is displayed

window_name = 'image'

# Using cv2.imshow() method

# Displaying the image

cv2.imshow(window_name, image)

# step 2: Concatenated Images -

image1 = cv2.imread('geeksL1.png')

image2 = cv2.imread('geeksL2.png')

image3 = cv2.imread('geeksL3.png')

max_width = max(image1.shape[1], image2.shape[1], image3.shape[1])

image1 = cv2.resize(image1, (max_width, image1.shape[0]))

image2 = cv2.resize(image2, (max_width, image2.shape[0]))

image3 = cv2.resize(image3, (max_width, image3.shape[0]))

concatenated_image = np.concatenate((image1, image2, image3), axis=0)

cv2.imshow('Concatenated Images', concatenated_image)

# waits for user to press any key

# (this is necessary to avoid Python kernel form crashing)

cv2.waitKey(0)

# closing all open windows

cv2.destroyAllWindows()

Debug Py-cv-image project, 0 Errors

Output of Python Project - Py-cv-image:

step 1: display image
step 2: display Concatenated Images

Py-Webcam-Views Python program, Capture Video Frames from a Webcam in OpenCV

Install library: OpenCV .
Import the library, OpenCV
Define the main function:
The Webcam of PC is connected, then the index is 0 - (Wwebcam = cv2.VideoCapture(0))
Test if the Webcam is opened - (Wwebcam.isOpened())
Test if the Webcam is read the frames
To display them on the computer screen
Run the code, the webcam will open up, and Display Video on a Computer Screen

Create a new Python project In Visual Studio 2022

the Microsoft Visual Studio (... or 2019 or 2022) is a powerful IDE for Python language
Open/Run Microsoft Visual Studio 2022

To view Python templates, search for python.

Select the Python Application template, and select Next.

Create a new Python project In Visual Studio 2022
        On the Configure your new project screen -   (specify a name and file location for the project, and then select Create)
        Project name: Py-Webcam-Views
        Location: C:\Users\...\source\repos    (default location for Visual Studio 2022)

The new project opens in Visual Studio 2022 - (Visual Studio 2022 Compiler - IDE, to compile Python project / file )

The Visual Studio Solution Explorer window shows the project structure

Python Project Properieties - Py-Webcam-Views

Projct Folder: C:\Users\...\source\repos\Py-Webcam-Views
Startup File: Py_Webcam_Views.py
Project file: Py-Webcam-Views.sln

Download Python Project : Py-Webcam-Views.zip - (8.87 KB zip file) Download
Project consist of:
One Python Form - (Py_Webcam_Views.py )

Download Python Project : Py-Webcam-Views.zip - (8.87 KB zip file) Download

Install opencv in Python on Windows Operating System, Using Command Prompt

Step 2 - install opencv-python:
                In the Command prompt, use the following pip command to install the numpy library
                pip install opencv-python

Note: Is cv2 the same as OpenCV, cv2 (old interface in old OpenCV versions was named as cv ) is the name that OpenCV

Source Code of Python Project -Py-Webcam-Views :

Download this Source Code at python file: Py_Webcam_Views.py - (1014 Byte Python file) download

Continue

Py_Webcam_Views.py Python Code, to Capture Video Frames from a Webcam in OpenCV

import cv2

# here, we create a video capture object

# the argument can either be the device index if we are taking images from

# the Webcam of PC

# Webcam of PC is connected, then the index is 0

Wwebcam = cv2.VideoCapture(0)

# double check if we are able to open the Webcam

if (Wwebcam.isOpened()):

print("The Webcam is successfully opened")

else:

print("Could not open the Webcam")

# read the frames from the Wwebcam and display

# them on the computer screen

while True:

# capture the frame

success,frame=Wwebcam.read()

if not success:

print("Not able to read the frame. End.")

break

# display the Wwebcam image

cv2.imshow('Wwebcam video',frame)

# stop using the Wwebcam and displaying the video by pressing 'c'

# change this part as you wish

if cv2.waitKey(1) == ord('c'):

break

# release the capture

# and close all the windows

Wwebcam.release()

cv2.destroyAllWindows()

Debug Py-Webcam-Views project, 0 Errors

Output of Python Project -Py-Webcam-Views, is Using the Webcam of PC :

1-

2-

Py-Mesh_Module Python program, Creating a face mesh using OpenCV and mediapipe

Install two libraries: OpenCV and MediaPipe.
Import the libraries, which include OpenCV and MediaPipe
Set up a class called “draw_mesh”, which is responsible for defining the parameters of the face mesh, such as the maximum number of faces to detect, confidence thresholds for detection and tracking, and whether to redefine the landmarks or not.
Within the class, we create a method called “face_mesh”, which takes in an input frame and detects and tracks the facial landmarks on the face(s) present in the image. If the parameter “draw” is set to True, the method will also draw the mesh and the contours of the face(s) onto the input frame.
Define the main function that sets up the video capture object from the webcam
Run the code, the webcam will open up, and you should see the face mesh overlay on your face.

Create a new Python project In Visual Studio 2022

the Microsoft Visual Studio (... or 2019 or 2022) is a powerful IDE for Python language
Open/Run Microsoft Visual Studio 2022

To view Python templates, search for python.

Select the Python Application template, and select Next.

Create a new Python project In Visual Studio 2022
        On the Configure your new project screen -   (specify a name and file location for the project, and then select Create)
        Project name: Py-Mesh_Module
        Location: C:\Users\...\source\repos    (default location for Visual Studio 2022)

The new project opens in Visual Studio 2022 - (Visual Studio 2022 Compiler - IDE, to compile Python project / file )

The Visual Studio Solution Explorer window shows the project structure

Python Project Properieties - Py-Mesh_Module

Projct Folder: C:\Users\...\source\repos\Py-Mesh_Module
Startup File: Py_Mesh_Module.py
Project file: Py-Mesh_Module.sln

Download Python Project : Py-Mesh_Module.zip - (100 KB zip file) Download
Project consist of:
One Python Form - (Py_Mesh_Module.py )

Download Python Project : Py-Mesh_Module.zip - (100 KB zip file) Download

Install opencv and mediapipe in Python on Windows Operating System, Using Command Prompt

1- Install opencv in Python on Windows Operating System, Using Command Prompt

2- Install mediapipe in Python on Windows Operating System, Using Command Prompt

        Step 2 - install mediapipe:
                In the Command prompt, use the following pip command to install the mediapipe library
                pip install mediapipe

Source Code of Python Project -Py-Mesh_Module :

Download this Source Code at python file: Py_Mesh_Module.py - (2.50 KB Python file) download

Continue

Py_Mesh_Module.py Python Code, to Creating a face mesh using OpenCV and mediapipe

import cv2

import mediapipe as mp

import time

#face_mesh

#Creating a face mesh using OpenCV and mediapipe. THe code is created in objects and classes so they can be reused. For a full description

class draw_mesh():

def __init__(self, static_image = False, max_n_face = 3, redefine_landmarks = True, confidence_detection = 0.75, confidence_tracking = 0.75):

self.static_image = static_image

self.max_n_face = max_n_face

self.redifine_landmarks = redefine_landmarks

self.confidence_detection = confidence_detection

self.confidence_tracking = confidence_tracking

self.mpDraw = mp.solutions.drawing_utils

self.mpFaceMesh = mp.solutions.face_mesh

self.faceMesh = self.mpFaceMesh.FaceMesh(self.static_image, self.max_n_face, self.redifine_landmarks, self.confidence_detection, self.confidence_tracking)

self.drawSpec = self.mpDraw.DrawingSpec(thickness=1, circle_radius=2)

self.mp_drawing_styles = mp.solutions.drawing_styles

def face_mesh(self, frame, draw = True):

frameRGB = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)

results = self.faceMesh.process(frameRGB)

if results.multi_face_landmarks:

for face_landmarks in results.multi_face_landmarks:

self.mpDraw.draw_landmarks(image=frame,landmark_list=face_landmarks,

connections=self.mpFaceMesh.FACEMESH_TESSELATION,landmark_drawing_spec=None,

connection_drawing_spec=self.mp_drawing_styles.get_default_face_mesh_tesselation_style())

self.mpDraw.draw_landmarks(image=frame,landmark_list=face_landmarks,

connections=self.mpFaceMesh.FACEMESH_CONTOURS,landmark_drawing_spec=None,

connection_drawing_spec=self.mp_drawing_styles.get_default_face_mesh_contours_style())

return frame

def main():

cap = cv2.VideoCapture(0)

time_previous = 0

mesh = draw_mesh()

while True:

ret, frame = cap.read()

frame = mesh.face_mesh(frame)

# _main_.py using the webcam of PC

cv2.imshow('Webcam1', frame) # Name of Webcam of PC

if cv2.waitKey(1) & 0xFF == ord('q'):

break

cap.release()

cv2.destroyAllWindows()

# Show of Output Data

if __name__ == '__main__':

main()

Debug Py-Mesh_Module project, 0 Errors

Output of Python Project -Py-Mesh_Module, is Using the Webcam of PC :

1-

2-

3- Show of Output Data, is Using the Webcam of PC - image

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