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Explore Kits
One of the oldest and most popular computer programming languages C++ has a large community in the stack. There are countless open-source libraries that you can make use of for your development projects. Some of the key aspects that make C++ an extremely useful and widespread programming language are its broad support, code editors, test frameworks, compilers, code quality, and various other tools.

Using these libraries, you can perform operations on file systems and related modules such as paths, directories, and regular files. While other libraries like Standard Template Library (STL) that deal with containers, iterators, and algorithms provide functionalities to manage and collect data with the help of modern and efficient algorithms.

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This is the Student Course Recommendation project from TeamAlpha

Development Environment

We used Jupyter Notebook for development and debugging

Data Mining

Machine Learning

Good health is critical to lead a happy life. Pandemic has caused drastic changes in the existing health care system. These times, there are many difficulties in taking care of patients in person because of safety. It is hard to treat a lot of patients in person. A doctor can consult patients remotely without the risk of transmitting the infection. Thus we need to appraise the situation with remote monitoring systems and video consultation of patients. These are not only for the pandemic situation. Patients from another country can consult a doctor present in another country swiftly with this system. Build Smart Healthcare Patient Monitoring using below steps: 1. Development Environment 2. Data Analysis 3. Mobile Application

Data Analysis

Following are the libraries which help in data analysis. We need an ESP8266 wifi module, MAX30100(Heart rate and Blood Pressure), Dallas temperature Sensor, DTH11 Sensor.

Development Environment

Arduino is used for writing and uploading the program and storing the data in the cloud. So Arduino is used for getting the typical experience of IDE for the developer.

Mobile Application

Users can use the following libraries to check the patient's temperature, blood pressure, heart rate, humidity level.

Doorbells are the signaling device that helps alert the person outside the home and get permission to come inside. Traditionally, the doorbells were simple buttons, and when pressed, the bell rings. Let’s think of making it automatic detection and alarm with pictures or videos. Here are best libraries that will help you make the alarms or doorbell automatic, which will detect someone in front of the door and automatically ring. It is beneficial because it’s not always the case that a person can reach the doorbell, and it also comes with the additional feature of a picture or video to see and confirm to avoid intruders. This kit helps in the rapid development of automatic door alarms by the following steps: 1. Development Environment 2. Data Analysis

Development Environment

Arduino is used for writing and uploading the program and storing the data in the cloud.

Data Analysis

Following are the libraries which help in data analysis. These libraries use Ultrasonic sensors and IoT technology.

Searching for parking spaces in the cities, especially during the rush hours, is an arduous job for daily commuters. The demanding situation arises from not knowing if the parking space is available or not. A lot of time and energy is drained in searching for a car parking space. Fuels consumption on searching parking space is also high. Even if we knew the parking place, many vehicles might pursue minimal parking space to cause severe traffic congestion. With open-source libraries, we can build our own intelligent parking system. Build your own intelligent parking system by following below steps: 1. Development Environment 2. Data Analysis 3. Mobile Application

Development Environment

Arduino is used for writing and uploading the program and storing the data in the cloud.

Mobile Application

Users can use the following libraries to check the status of parking spaces using mobile instantly.

Data Analysis

Following are the libraries which help in data analysis. These libraries use IoT(Internet Of Things) and some hardware tools like Radar sensors, Arduino, Raspberry Pi.

Worldwide, traffic on the roadways is a concern due to increasing automobile users. It also causes wastage of fuels and increases pollution. Traffic lights have become redundant in controlling vehicles. There are hundreds of accidents due to malfunctions of traffic lights in India alone for a day. Mentally, traffic increases the stress and frustration among people. Let us think of making it innovative and efficient in controlling the motorway. Are you thinking of providing a solution to this issue? Following libraries will help you on this, 1. Development Environment 2. Data Analysis

Data Analysis

Following are the libraries which help in data analysis. These libraries use ultrasonic sensors and IoT technology.

Development Environment

Arduino is used for writing and uploading the program and storing the data in the cloud. So Arduino is used for getting the typical experience of IDE for the developer.

Playing games has always been fun, just like coding! There is something about games, which grabs everyone towards it with its fascinating visuals, engaging obstacles to reach victory. You could have played plenty of games like these which were terrific, but how about creating your very own game? How about designing a racing game? Here is one of the most exciting games called Unity 2D Racing. Unity 2D Racing is a single-player game in which a player controls the car on a road path. Some hazards like clouds will pass by the road to make the game bit tough for the player. Besides, a player must also be cautious about not getting into the potholes that appear on the road. Listed below are the best libraries that can be reused. This kit aids the development of the Unity 2D racing game by following the below steps : 1. Pick a Development Environment! 2. Begin with Unity 2D project 3. Set up background sprite 4. Create a script to do the background scroll 5. Add cloud materials 6. Create a 2D controller 7. Sort the layers 8. Create a script for the controller 9. Add Canvas in the UI 10. Create a script for managing the UI 11. Design a Graphic Raycaster in Unity.

Controller for our unity 2d racing game

Scripting is one of the critical parts of Unity 2D racing, in which we do scripting for controlling an object. A controller is a crucial element that handles the input from a player and then holds an object in a game accordingly.

Development Environment

Unity Hub is used for development. Unity is generally a game engine framework that allows you to create two-dimensional(2D) and three-dimensional (3D) games. C# programming language has been used for scripting in Unity.

Graphic Raycaster

The graphic Raycaster will decide on the end of the game. Generally, Raycaster inspects the graphics to determine if any objects got hit by the canvas. If an object hits the hazard, the Graphic Raycaster will block that object and finish the game.

A Bluetooth robotic arm is used to reduce the errors made by humans and also minimize their efforts. Around the globe, with upcoming technologies, robotics provides improvements in various engineering departments for a use case. There is a need to communicate with the robot remotely in order to control its movements and pass critical data—a mechanical arm with a movable base controlled by an application through Smartphone via Bluetooth. A robotic arm can function similarly to the human arm as specified by the controller or can be used for automation purposes. Listed below are the best libraries that can be reused and create a custom robotic arm.

Water is the vital source given to us by our planet. Global warming has reached to alarming state such every living or non-living or non-living organism will become a victim. Although Propagandas are done at scale, every human being on the planet should drive the change. One of the driving factors in reducing water wastage. Wastage of water occurs at various places, and one among them is overflowing water tanks and leakage in water tanks which is not affordable. Water tanks can neither monitor nor control the water level in the tank, leading to a large amount of water wastage. Listed below are the best libraries that can help you create applications to reduce water wastage.

ML

Build an automatic solar tracking system that can effectively harness the sun’s rays throughout the day using the open-source libraries and frameworks.


With a limited number of conventional sources of energy like coal, petroleum, natural gas, which creates a lot of pollution too, we are in great danger of complete depletion of these resources as alternative solar energy has a huge potential to meet the ever-growing demands of the human race.


Solar cells are used to convert the sun’s energy into electrical energy. But the sun’s direction and position are different from sunset and sunrise. And it keeps changing throughout the day. Therefore, a stationary system cannot harness the maximum energy on the sun. Thus, building a customized solar energy tracking system can effectively solve the problem. And you can do so using the open-source code libraries and frameworks.


Scroll down to check out the best and trending open-source libraries to enable functions like automatic solar tracking in your next application development project:

In this solution we are going to add colors to the text with help of termcolor of C++ library for printing colored messages to the terminal .python has many libraries which provide the ability to work with Texts. In this solution kit, I am sharing the code snippet and library that I use to color the text in Python which can be executed directly in the IDE.


Preview of the output that you will get on running this code in your IDE

Code

In this solution we have used Termcolor from python

  1. Copy this code using "Copy "button above and paste it in your python file IDE
  2. Add Termcolor Library to run this code
  3. Run the code to get the texts coloured.


I hope you found this useful i have added the Dependent libraries , versions in the following sections.


I have searched using "How to add colors to printed text " in Kandi. you can try any use case

Dependent Library

If you don't have this termcolor and colorama Library that required to run this code. You can install by clicking the above link and copying the pip install command from the termcolor page in Kandi. You can search any Library Like termcolor and colorama in kandi

Environment Test

I have tested this solution with following versions. Be mindful of changes when working with other versions


  1. This solution is created and executed in Python 3.7.15 version
  2. This solution is tested on termcolor 2.1.1 version
  3. This solution is tested on colorama 0.4.6 version


Using this solution we able to color the text with termcolor Library in python with simple steps. This process also facilities an easy to use, hassle free method to create a hands-on working version of code which would help us color the text in Python.

Support

  1. For any support on kandi solution kits, please use the chat
  2. For further learning resources, visit the Open Weaver Community learning page.

In this solution we are going to Adding color to the text in our code. python has many libraries which provide the ability to work with Texts. Colorama is a famous and prominent Library used in Python with the help of Colorama we are going to color text. Colorama Library also helps to change the style ,color, Brightness ,background of the text . In this solution kit, I am sharing the code snippet and library that I use to color the text in Python which can be executed directly in the IDE


Preview of the output that you will get on running this code in your IDE

Code

In this solution we have used Colorama library from python

  1. Copy this code using "Copy "button above and paste it in your python file IDE
  2. Add Colorama Library to run this code
  3. Run the code to get the texts coloured.


I hope you found this useful i have added the Dependent libraries , versions in the following sections


I have searched using "Add text Color while print" in Kandi. you can try any use case

Dependent Library

If you don't have this colorama and termcolor Library that required to run this code. You can install by clicking the above link and copying the pip install command from the Colorama page in Kandi. You can search any Library Like colorama and termcolor in kandi

Environment Test

I have tested this solution with following versions. Be mindful of changes when working with other versions


  1. This solution is created and executed in Python 3.7.15 version
  2. This solution is tested on Colorama 0.4.6 version
  3. This solution is tested on termcolor 2.1.1 version


Using this solution we able to change the style , color, Brightness of the Text in Terminal using Colorama Library in python with simple steps. This process also facilities an easy to use, hassle free method to create a hands-on working version of code which would help us color the text in Python.

Support

  1. For any support on kandi solution kits, please use the chat
  2. For further learning resources, visit the Open Weaver Community learning page.

Here is the list of best CPP logging libraries to help debug, understand the micro-level working of a program, track errors and status messages created during runtime, see the results of each independent process, and more. 


Managing errors and exceptions in your C++ code is also challenging when running on the server side. The ability to track, analyse, and manage real-time errors can significantly improve your workflow and build high-quality code. Logging libraries let you do that.


  • Multithreading/async writing to log files.
  • Support of multiple log levels and types.
  • Configuration and trace filtering from config file. 
  • Help of log rotation and time stamping.
  • Singleton Class and thread safety in a multithreading environment.
  • Good documentation and library support itself.

 

Check out our recommendation of the 15 best C++ Logging open-source libraries available for developers:


OpenCV is a computer vision library written in C++ and widely used for image and video processing. It offers a range of features for working with photographs and movies, including the ability to load and save images, use filters, find edges, and find and track objects. In collaboration, applications involving image and video processing are frequently created using Python and OpenCV. This combination enables you to develop solid and adaptable programs that can address various computer vision issues.  


In our work as developers, we frequently must read and rotate the photos in our applications to complete various image processing activities, such as recognition, upload, augmentation, training, and many more. There are numerous libraries for Python that enable working with images. Python has features for manipulating, enhancing, and creating more images. In addition to using additional OpenCV functions to apply other transformations to the image, such as scaling, cropping, and applying filters, you can modify the angle of rotation and the image's size to get the desired effect.  


Here is an example of how we can draw a line beyond the second point using opencv


Preview of the output that you will get on running this code from your IDE

CODE

In this solution we use the numpy and open cv library

  1. Copy the code using the "Copy" button above, and paste it in a Python file in your IDE.
  2. Import open Cv library and Numpy library.
  3. Modify the name and Length of the points.
  4. Run the file to draw a line.


I hope you found this useful. I have added the link to dependent libraries, version information in the following sections.


ifound this code snippet by searching for "Draw a line in open cv and python beyond given points" in kandi. You can try any such use case!

Dependent Library

If you do not have OpenCV and numpy that is required to run this code, you can install it by clicking on the above link and copying the pip Install command from the OpenCV page in kandi.

You can search for any dependent library on kandi like OpenCV and numpy

Environment Test

I tested this solution in the following versions. Be mindful of changes when working with other versions


  1. The solution is created and executed in python version 3.7.15 .
  2. The solution is tested on OpenCV 4.6.0 version
  3. The solution is tested on numpy 1.21.6


Using this solution, we are going to draw a line beyond the second given point using the OpenCv library and numpy library in Python with simple steps. This process also facilities an easy to use, hassle free method to create a hands-on working version of code which would help us draw a image in Python

Support

  1. For any support on kandi solution kits, please use the chat
  2. For further learning resources, visit the Open Weaver Community learning page.


Graphics in C++ is to develop a graphic model to draw curves, lines of different colors and styles, phrases with fashionable fonts with different typefaces, colors, and sizes, and geometrical shapes like circles, rectangles, etc. Graphics programming could help us to create projects, games, animation, and more. There are two different modes in C++ by default- text mode and graphics mode. To implement the graphics, which are a two-dimensional notion, we need to use C++ programming and a few functions. The prerequisites of a graphics monitor are a graphics card like a VGA, SVGA, or EGA.

 

Importing the "graphics.h" library into the GCC compiler enables the production of graphics in the C++ console. C++ is used to program graphics via the terminal or command prompt or the other method you need to install the DevC++ compiler. In this mode, the output is shown as points or pixels on the computer screen. The screen is divided into tiny dots called pixels in graphics mode. For instance, the screen on a VGA display is divided into 480 rows and 640 columns of dots. The term "resolution screen" refers to the number of dots per inch. The clarity of the graphics increases with the number of pixels. The circle, line, eclipse, and other geometric forms are also traceable. The primary technique adopted is object-oriented programming. Since C++ relies on low-level programs, there are no built-in drawing methods, and APIs are used to create visuals. C++ is frequently regarded as one of the leading programming languages for computer graphics. 

 

To operate in graphics, the C++ compiler requires.

- the "graphics.h" header file that includes built-in graphic features

- files for the Borland Graphics Interface (BGI) that has the graphics driver programs to set up the computer monitor to display graphics, and

- the "chr" extension files for the character font style. 

 

 The wide adoption of C++ by the developers of IDEs, editors, compilers, test frameworks, and other tools makes it easier to use. The best libraries are magnum, OpenSceneGraph, AtomicGameEngine, Vulkan, glbinding, LibVT, Cell, minigrafx, tinyrenderer, ripes, etc.


Check out the list below to find more popular C++ 2D Graphics libraries for your applications: 

OpenCV is a computer vision library written in C++ and widely used for image and video processing. It offers a range of features for working with photographs and movies, including the ability to load and save images, use filters, find edges, and find and track objects. In collaboration, applications involving image and video processing are frequently created using Python and OpenCV. This combination enables you to develop solid and adaptable programs that can address various computer vision issues.  


In our work as developers, we frequently must read and rotate the photos in our applications to complete various image processing activities, such as recognition, upload, augmentation, training, and many more. There are numerous libraries for Python that enable working with images. Python has features for manipulating, enhancing, and creating more images. In addition to using additional OpenCV functions to apply other transformations to the image, such as scaling, cropping, and applying filters, you can modify the angle of rotation and the image's size to get the desired effect.  


Here is an example of Drawing a line on PNG image using OpenCv in Python.


Preview of the output that you will get on running this code from your IDE


CODE

In this solution we use the Imread function of the OpenCV.


  1. Copy the code using the "Copy" button above, and paste it in a Python file in your IDE.
  2. Import open Cv library and Numpy library.
  3. Modify the name, location of the image in the code.
  4. Run the file to draw a line.


I hope you found this useful. I have added the link to dependent libraries, version information in the following sections.


i found this code snippet by searching for "Drawing a line on PNG image OpenCV2 Python' in kandi. You can try any such use case!


Dependent Library

If you do not have OpenCV that is required to run this code, you can install it by clicking on the above link and copying the pip Install command from the OpenCV page in kandi.

You can search for any dependent library on kandi like OpenCV

Environment Test

I tested this solution in the following versions. Be mindful of changes when working with other versions


  1. The solution is created and executed in python version 3.7.15 .
  2. The solution is tested on OpenCV 4.6.0


Using this solution, we are going to draw a line in PNG image using the OpenCv library in Python with simple steps. This process also facilities an easy to use, hassle free method to create a hands-on working version of code which would help us draw a line in a image in Python

Support

  1. For any support on kandi solution kits, please use the chat
  2. For further learning resources, visit the Open Weaver Community learning page.


OpenCV is a computer vision library written in C++ and widely used for image and video processing. It offers a range of features for working with photographs and movies, including the ability to load and save images, use filters, find edges, and find and track objects. In collaboration, applications involving image and video processing are frequently created using Python and OpenCV. This combination enables you to develop solid and adaptable programs that can address various computer vision issues.  


In our work as developers, we frequently must read and rotate the photos in our applications to complete various image processing activities, such as recognition, upload, augmentation, training, and many more. There are numerous libraries for Python that enable working with images. Python has features for manipulating, enhancing, and creating more images. In addition to using additional OpenCV functions to apply other transformations to the image, such as scaling, cropping, and applying filters, you can modify the angle of rotation and the image's size to get the desired effect.  


Here is an example of how you can use the imread function of OpenCV for apply border to Image.


Preview of the output that you will get on running this code from your IDE

CODE


In this solution we use the Imread function of the OpenCV.

  1. Copy the code using the "Copy" button above, and paste it in a Python file in your IDE.
  2. Modify the name, location of the image.
  3. Run the code to apply boundary to our image.


I hope you found this useful. I have added the link to dependent libraries, version information in the following sections.


i found this code snippet by searching for "Apply boundary to my image in OpenCv python" in kandi. You can try any such use case!

Dependent Library

If you do not have OpenCV that is required to run this code, you can install it by clicking on the above link and copying the pip Install command from the OpenCV page in kandi.

You can search for any dependent library on kandi like OpenCV

Environment Test

I tested this solution in the following versions. Be mindful of changes when working with other versions


  1. The solution is created and executed in python version 3.7.15 .
  2. The solution is tested on OpenCV 4.6.0


Using this solution, we are able to display an image using the OpenCv library in Python with simple steps. This process also facilities an easy to use, hassle free method to create a hands-on working version of code which would help us display an image in Python

Support

  1. For any support on kandi solution kits, please use the chat
  2. For further learning resources, visit the Open Weaver Community learning page.


OpenCV is a computer vision library written in C++ and widely used for image and video processing. It offers a range of features for working with photographs and movies, including the ability to load and save images, use filters, find edges, and find and track objects. In collaboration, applications involving image and video processing are frequently created using Python and OpenCV. This combination enables you to develop solid and adaptable programs that can address various computer vision issues.  


In our work as developers, we frequently must read and rotate the photos in our applications to complete various image processing activities, such as recognition, upload, augmentation, training, and many more. There are numerous libraries for Python that enable working with images. Python has features for manipulating, enhancing, and creating more images. In addition to using additional OpenCV functions to apply other transformations to the image, such as scaling, cropping, and applying filters, you can modify the angle of rotation and the image's size to get the desired effect.  


In this solution we are going to learn how to change the colors within certain range to another color using OpenCV


Preview of the output that you will get on running this code from your IDE


CODE

In this solution we use the Imread function of the OpenCV.

  1. Copy the code using the "Copy" button above, and paste it in a Python file in your IDE.
  2. Import openCv library
  3. Modify the name, location of the image in the code.
  4. Run the file to get Output


I hope you found this useful. I have added the link to dependent libraries, version information in the following sections.


i found this code snippet by searching for "I want to change the colors in image with python from specific color range to another color" in kandi. You can try any such use case!

Dependent Library

If you do not have OpenCV that is required to run this code, you can install it by clicking on the above link and copying the pip Install command from the OpenCV page in kandi.

You can search for any dependent library on kandi like OpenCV

Environment Test

I tested this solution in the following versions. Be mindful of changes when working with other versions


  1. The solution is created and executed in python version 3.7.15 .
  2. The solution is tested on OpenCV 4.6.0


Using this solution, we are going to Change Brown areas into red using OpenCv using the OpenCv library in Python with simple steps. This process also facilities an easy to use, hassle free method to create a hands-on working version of code which would help us Change Brown areas into red using OpenCv in Python

Support

  1. For any support on kandi solution kits, please use the chat
  2. For further learning resources, visit the Open Weaver Community learning page.


OpenCV is a computer vision library written in C++ and widely used for image and video processing. It offers a range of features for working with photographs and movies, including the ability to load and save images, use filters, find edges, and find and track objects. In collaboration, applications involving image and video processing are frequently created using Python and OpenCV. This combination enables you to develop solid and adaptable programs that can address various computer vision issues.  


In our work as developers, we frequently must read and rotate the photos in our applications to complete various image processing activities, such as recognition, upload, augmentation, training, and many more. There are numerous libraries for Python that enable working with images. Python has features for manipulating, enhancing, and creating more images. In addition to using additional OpenCV functions to apply other transformations to the image, such as scaling, cropping, and applying filters, you can modify the angle of rotation and the image's size to get the desired effect.  


in this solution we are going to learn how to Convert BGR image to YCBCR using Open cv in python


Preview of the output that you will get on running this code from your IDE


CODE

In this solution we use the Imread function of the OpenCV.


  1. Copy the code using the "Copy" button above, and paste it in a Python file in your IDE.
  2. Import open Cv library
  3. Modify the name, location of the image in the code.
  4. Run the file to get Output


I hope you found this useful. I have added the link to dependent libraries, version information in the following sections.


i found this code snippet by searching for "OpenCV Python converting color-space image to YCbCr" in kandi. You can try any such use case!

Dependent Library

If you do not have OpenCV that is required to run this code, you can install it by clicking on the above link and copying the pip Install command from the OpenCV page in kandi.

You can search for any dependent library on kandi like OpenCV

Environment Test

I tested this solution in the following versions. Be mindful of changes when working with other versions


  1. The solution is created and executed in python version 3.7.15 .
  2. The solution is tested on OpenCV 4.6.0


Using this solution, we are going to convert BGR image to YCBCR using the OpenCv library in Python with simple steps. This process also facilities an easy to use, hassle free method to create a hands-on working version of code which would help us convert BGR to YCBCR in Python

Support

  1. For any support on kandi solution kits, please use the chat
  2. For further learning resources, visit the Open Weaver Community learning page.

OpenCV is a computer vision library written in C++ and widely used for image and video processing. It offers a range of features for working with photographs and movies, including the ability to load and save images, use filters, find edges, and find and track objects. In collaboration, applications involving image and video processing are frequently created using Python and OpenCV. This combination enables you to develop solid and adaptable programs that can address various computer vision issues.  


In our work as developers, we frequently must read and rotate the photos in our applications to complete various image processing activities, such as recognition, upload, augmentation, training, and many more. There are numerous libraries for Python that enable working with images. Python has features for manipulating, enhancing, and creating more images. In addition to using additional OpenCV functions to apply other transformations to the image, such as scaling, cropping, and applying filters, you can modify the angle of rotation and the image's size to get the desired effect.  


in this solution we are going to learn how to convert white pixels to Black using Opencv Python.


Preview of the output that you will get on running this code from your IDE

CODE

In this solution we use the Imread function of the OpenCV.


  1. Copy the code using the "Copy" button above, and paste it in a Python file in your IDE.
  2. Import open Cv library and Numpy library.
  3. Modify the name, location of the image in the code.
  4. Run the file to get Output


I hope you found this useful. I have added the link to dependent libraries, version information in the following sections.


i found this code snippet by searching for "Convert White Pixels to Black in OpenCV python" in kandi. You can try any such use case!

Dependent Library

If you do not have OpenCV that is required to run this code, you can install it by clicking on the above link and copying the pip Install command from the OpenCV page in kandi.

You can search for any dependent library on kandi like OpenCV

Environment Test

I tested this solution in the following versions. Be mindful of changes when working with other versions


  1. The solution is created and executed in python version 3.7.15 .
  2. The solution is tested on OpenCV 4.6.0


Using this solution, we are going to convert whilte Pixels to Black using the OpenCv library in Python with simple steps. This process also facilities an easy to use, hassle free method to create a hands-on working version of code which would help us change the pixels in Python

Support

  1. For any support on kandi solution kits, please use the chat
  2. For further learning resources, visit the Open Weaver Community learning page.


This is the Student Course Recommendation project from TeamAlpha

Development Environment

We used Jupyter Notebook for development and debugging

Data Mining

Machine Learning

Good health is critical to lead a happy life. Pandemic has caused drastic changes in the existing health care system. These times, there are many difficulties in taking care of patients in person because of safety. It is hard to treat a lot of patients in person. A doctor can consult patients remotely without the risk of transmitting the infection. Thus we need to appraise the situation with remote monitoring systems and video consultation of patients. These are not only for the pandemic situation. Patients from another country can consult a doctor present in another country swiftly with this system. Build Smart Healthcare Patient Monitoring using below steps: 1. Development Environment 2. Data Analysis 3. Mobile Application

Data Analysis

Following are the libraries which help in data analysis. We need an ESP8266 wifi module, MAX30100(Heart rate and Blood Pressure), Dallas temperature Sensor, DTH11 Sensor.

Development Environment

Arduino is used for writing and uploading the program and storing the data in the cloud. So Arduino is used for getting the typical experience of IDE for the developer.

Mobile Application

Users can use the following libraries to check the patient's temperature, blood pressure, heart rate, humidity level.

Doorbells are the signaling device that helps alert the person outside the home and get permission to come inside. Traditionally, the doorbells were simple buttons, and when pressed, the bell rings. Let’s think of making it automatic detection and alarm with pictures or videos. Here are best libraries that will help you make the alarms or doorbell automatic, which will detect someone in front of the door and automatically ring. It is beneficial because it’s not always the case that a person can reach the doorbell, and it also comes with the additional feature of a picture or video to see and confirm to avoid intruders. This kit helps in the rapid development of automatic door alarms by the following steps: 1. Development Environment 2. Data Analysis

Development Environment

Arduino is used for writing and uploading the program and storing the data in the cloud.

Data Analysis

Following are the libraries which help in data analysis. These libraries use Ultrasonic sensors and IoT technology.

Searching for parking spaces in the cities, especially during the rush hours, is an arduous job for daily commuters. The demanding situation arises from not knowing if the parking space is available or not. A lot of time and energy is drained in searching for a car parking space. Fuels consumption on searching parking space is also high. Even if we knew the parking place, many vehicles might pursue minimal parking space to cause severe traffic congestion. With open-source libraries, we can build our own intelligent parking system. Build your own intelligent parking system by following below steps: 1. Development Environment 2. Data Analysis 3. Mobile Application

Development Environment

Arduino is used for writing and uploading the program and storing the data in the cloud.

Mobile Application

Users can use the following libraries to check the status of parking spaces using mobile instantly.

Data Analysis

Following are the libraries which help in data analysis. These libraries use IoT(Internet Of Things) and some hardware tools like Radar sensors, Arduino, Raspberry Pi.

Worldwide, traffic on the roadways is a concern due to increasing automobile users. It also causes wastage of fuels and increases pollution. Traffic lights have become redundant in controlling vehicles. There are hundreds of accidents due to malfunctions of traffic lights in India alone for a day. Mentally, traffic increases the stress and frustration among people. Let us think of making it innovative and efficient in controlling the motorway. Are you thinking of providing a solution to this issue? Following libraries will help you on this, 1. Development Environment 2. Data Analysis

Data Analysis

Following are the libraries which help in data analysis. These libraries use ultrasonic sensors and IoT technology.

Development Environment

Arduino is used for writing and uploading the program and storing the data in the cloud. So Arduino is used for getting the typical experience of IDE for the developer.

Playing games has always been fun, just like coding! There is something about games, which grabs everyone towards it with its fascinating visuals, engaging obstacles to reach victory. You could have played plenty of games like these which were terrific, but how about creating your very own game? How about designing a racing game? Here is one of the most exciting games called Unity 2D Racing. Unity 2D Racing is a single-player game in which a player controls the car on a road path. Some hazards like clouds will pass by the road to make the game bit tough for the player. Besides, a player must also be cautious about not getting into the potholes that appear on the road. Listed below are the best libraries that can be reused. This kit aids the development of the Unity 2D racing game by following the below steps : 1. Pick a Development Environment! 2. Begin with Unity 2D project 3. Set up background sprite 4. Create a script to do the background scroll 5. Add cloud materials 6. Create a 2D controller 7. Sort the layers 8. Create a script for the controller 9. Add Canvas in the UI 10. Create a script for managing the UI 11. Design a Graphic Raycaster in Unity.

Controller for our unity 2d racing game

Scripting is one of the critical parts of Unity 2D racing, in which we do scripting for controlling an object. A controller is a crucial element that handles the input from a player and then holds an object in a game accordingly.

Development Environment

Unity Hub is used for development. Unity is generally a game engine framework that allows you to create two-dimensional(2D) and three-dimensional (3D) games. C# programming language has been used for scripting in Unity.

Graphic Raycaster

The graphic Raycaster will decide on the end of the game. Generally, Raycaster inspects the graphics to determine if any objects got hit by the canvas. If an object hits the hazard, the Graphic Raycaster will block that object and finish the game.

A Bluetooth robotic arm is used to reduce the errors made by humans and also minimize their efforts. Around the globe, with upcoming technologies, robotics provides improvements in various engineering departments for a use case. There is a need to communicate with the robot remotely in order to control its movements and pass critical data—a mechanical arm with a movable base controlled by an application through Smartphone via Bluetooth. A robotic arm can function similarly to the human arm as specified by the controller or can be used for automation purposes. Listed below are the best libraries that can be reused and create a custom robotic arm.

Water is the vital source given to us by our planet. Global warming has reached to alarming state such every living or non-living or non-living organism will become a victim. Although Propagandas are done at scale, every human being on the planet should drive the change. One of the driving factors in reducing water wastage. Wastage of water occurs at various places, and one among them is overflowing water tanks and leakage in water tanks which is not affordable. Water tanks can neither monitor nor control the water level in the tank, leading to a large amount of water wastage. Listed below are the best libraries that can help you create applications to reduce water wastage.

ML

Build an automatic solar tracking system that can effectively harness the sun’s rays throughout the day using the open-source libraries and frameworks.


With a limited number of conventional sources of energy like coal, petroleum, natural gas, which creates a lot of pollution too, we are in great danger of complete depletion of these resources as alternative solar energy has a huge potential to meet the ever-growing demands of the human race.


Solar cells are used to convert the sun’s energy into electrical energy. But the sun’s direction and position are different from sunset and sunrise. And it keeps changing throughout the day. Therefore, a stationary system cannot harness the maximum energy on the sun. Thus, building a customized solar energy tracking system can effectively solve the problem. And you can do so using the open-source code libraries and frameworks.


Scroll down to check out the best and trending open-source libraries to enable functions like automatic solar tracking in your next application development project:

In this solution we are going to add colors to the text with help of termcolor of C++ library for printing colored messages to the terminal .python has many libraries which provide the ability to work with Texts. In this solution kit, I am sharing the code snippet and library that I use to color the text in Python which can be executed directly in the IDE.


Preview of the output that you will get on running this code in your IDE

Code

In this solution we have used Termcolor from python

  1. Copy this code using "Copy "button above and paste it in your python file IDE
  2. Add Termcolor Library to run this code
  3. Run the code to get the texts coloured.


I hope you found this useful i have added the Dependent libraries , versions in the following sections.


I have searched using "How to add colors to printed text " in Kandi. you can try any use case

Dependent Library

If you don't have this termcolor and colorama Library that required to run this code. You can install by clicking the above link and copying the pip install command from the termcolor page in Kandi. You can search any Library Like termcolor and colorama in kandi

Environment Test

I have tested this solution with following versions. Be mindful of changes when working with other versions


  1. This solution is created and executed in Python 3.7.15 version
  2. This solution is tested on termcolor 2.1.1 version
  3. This solution is tested on colorama 0.4.6 version


Using this solution we able to color the text with termcolor Library in python with simple steps. This process also facilities an easy to use, hassle free method to create a hands-on working version of code which would help us color the text in Python.

Support

  1. For any support on kandi solution kits, please use the chat
  2. For further learning resources, visit the Open Weaver Community learning page.

In this solution we are going to Adding color to the text in our code. python has many libraries which provide the ability to work with Texts. Colorama is a famous and prominent Library used in Python with the help of Colorama we are going to color text. Colorama Library also helps to change the style ,color, Brightness ,background of the text . In this solution kit, I am sharing the code snippet and library that I use to color the text in Python which can be executed directly in the IDE


Preview of the output that you will get on running this code in your IDE

Code

In this solution we have used Colorama library from python

  1. Copy this code using "Copy "button above and paste it in your python file IDE
  2. Add Colorama Library to run this code
  3. Run the code to get the texts coloured.


I hope you found this useful i have added the Dependent libraries , versions in the following sections


I have searched using "Add text Color while print" in Kandi. you can try any use case

Dependent Library

If you don't have this colorama and termcolor Library that required to run this code. You can install by clicking the above link and copying the pip install command from the Colorama page in Kandi. You can search any Library Like colorama and termcolor in kandi

Environment Test

I have tested this solution with following versions. Be mindful of changes when working with other versions


  1. This solution is created and executed in Python 3.7.15 version
  2. This solution is tested on Colorama 0.4.6 version
  3. This solution is tested on termcolor 2.1.1 version


Using this solution we able to change the style , color, Brightness of the Text in Terminal using Colorama Library in python with simple steps. This process also facilities an easy to use, hassle free method to create a hands-on working version of code which would help us color the text in Python.

Support

  1. For any support on kandi solution kits, please use the chat
  2. For further learning resources, visit the Open Weaver Community learning page.

Here is the list of best CPP logging libraries to help debug, understand the micro-level working of a program, track errors and status messages created during runtime, see the results of each independent process, and more. 


Managing errors and exceptions in your C++ code is also challenging when running on the server side. The ability to track, analyse, and manage real-time errors can significantly improve your workflow and build high-quality code. Logging libraries let you do that.


  • Multithreading/async writing to log files.
  • Support of multiple log levels and types.
  • Configuration and trace filtering from config file. 
  • Help of log rotation and time stamping.
  • Singleton Class and thread safety in a multithreading environment.
  • Good documentation and library support itself.

 

Check out our recommendation of the 15 best C++ Logging open-source libraries available for developers:


OpenCV is a computer vision library written in C++ and widely used for image and video processing. It offers a range of features for working with photographs and movies, including the ability to load and save images, use filters, find edges, and find and track objects. In collaboration, applications involving image and video processing are frequently created using Python and OpenCV. This combination enables you to develop solid and adaptable programs that can address various computer vision issues.  


In our work as developers, we frequently must read and rotate the photos in our applications to complete various image processing activities, such as recognition, upload, augmentation, training, and many more. There are numerous libraries for Python that enable working with images. Python has features for manipulating, enhancing, and creating more images. In addition to using additional OpenCV functions to apply other transformations to the image, such as scaling, cropping, and applying filters, you can modify the angle of rotation and the image's size to get the desired effect.  


Here is an example of how we can draw a line beyond the second point using opencv


Preview of the output that you will get on running this code from your IDE

CODE

In this solution we use the numpy and open cv library

  1. Copy the code using the "Copy" button above, and paste it in a Python file in your IDE.
  2. Import open Cv library and Numpy library.
  3. Modify the name and Length of the points.
  4. Run the file to draw a line.


I hope you found this useful. I have added the link to dependent libraries, version information in the following sections.


ifound this code snippet by searching for "Draw a line in open cv and python beyond given points" in kandi. You can try any such use case!

Dependent Library

If you do not have OpenCV and numpy that is required to run this code, you can install it by clicking on the above link and copying the pip Install command from the OpenCV page in kandi.

You can search for any dependent library on kandi like OpenCV and numpy

Environment Test

I tested this solution in the following versions. Be mindful of changes when working with other versions


  1. The solution is created and executed in python version 3.7.15 .
  2. The solution is tested on OpenCV 4.6.0 version
  3. The solution is tested on numpy 1.21.6


Using this solution, we are going to draw a line beyond the second given point using the OpenCv library and numpy library in Python with simple steps. This process also facilities an easy to use, hassle free method to create a hands-on working version of code which would help us draw a image in Python

Support

  1. For any support on kandi solution kits, please use the chat
  2. For further learning resources, visit the Open Weaver Community learning page.


Graphics in C++ is to develop a graphic model to draw curves, lines of different colors and styles, phrases with fashionable fonts with different typefaces, colors, and sizes, and geometrical shapes like circles, rectangles, etc. Graphics programming could help us to create projects, games, animation, and more. There are two different modes in C++ by default- text mode and graphics mode. To implement the graphics, which are a two-dimensional notion, we need to use C++ programming and a few functions. The prerequisites of a graphics monitor are a graphics card like a VGA, SVGA, or EGA.

 

Importing the "graphics.h" library into the GCC compiler enables the production of graphics in the C++ console. C++ is used to program graphics via the terminal or command prompt or the other method you need to install the DevC++ compiler. In this mode, the output is shown as points or pixels on the computer screen. The screen is divided into tiny dots called pixels in graphics mode. For instance, the screen on a VGA display is divided into 480 rows and 640 columns of dots. The term "resolution screen" refers to the number of dots per inch. The clarity of the graphics increases with the number of pixels. The circle, line, eclipse, and other geometric forms are also traceable. The primary technique adopted is object-oriented programming. Since C++ relies on low-level programs, there are no built-in drawing methods, and APIs are used to create visuals. C++ is frequently regarded as one of the leading programming languages for computer graphics. 

 

To operate in graphics, the C++ compiler requires.

- the "graphics.h" header file that includes built-in graphic features

- files for the Borland Graphics Interface (BGI) that has the graphics driver programs to set up the computer monitor to display graphics, and

- the "chr" extension files for the character font style. 

 

 The wide adoption of C++ by the developers of IDEs, editors, compilers, test frameworks, and other tools makes it easier to use. The best libraries are magnum, OpenSceneGraph, AtomicGameEngine, Vulkan, glbinding, LibVT, Cell, minigrafx, tinyrenderer, ripes, etc.


Check out the list below to find more popular C++ 2D Graphics libraries for your applications: 

OpenCV is a computer vision library written in C++ and widely used for image and video processing. It offers a range of features for working with photographs and movies, including the ability to load and save images, use filters, find edges, and find and track objects. In collaboration, applications involving image and video processing are frequently created using Python and OpenCV. This combination enables you to develop solid and adaptable programs that can address various computer vision issues.  


In our work as developers, we frequently must read and rotate the photos in our applications to complete various image processing activities, such as recognition, upload, augmentation, training, and many more. There are numerous libraries for Python that enable working with images. Python has features for manipulating, enhancing, and creating more images. In addition to using additional OpenCV functions to apply other transformations to the image, such as scaling, cropping, and applying filters, you can modify the angle of rotation and the image's size to get the desired effect.  


Here is an example of Drawing a line on PNG image using OpenCv in Python.


Preview of the output that you will get on running this code from your IDE


CODE

In this solution we use the Imread function of the OpenCV.


  1. Copy the code using the "Copy" button above, and paste it in a Python file in your IDE.
  2. Import open Cv library and Numpy library.
  3. Modify the name, location of the image in the code.
  4. Run the file to draw a line.


I hope you found this useful. I have added the link to dependent libraries, version information in the following sections.


i found this code snippet by searching for "Drawing a line on PNG image OpenCV2 Python' in kandi. You can try any such use case!


Dependent Library

If you do not have OpenCV that is required to run this code, you can install it by clicking on the above link and copying the pip Install command from the OpenCV page in kandi.

You can search for any dependent library on kandi like OpenCV

Environment Test

I tested this solution in the following versions. Be mindful of changes when working with other versions


  1. The solution is created and executed in python version 3.7.15 .
  2. The solution is tested on OpenCV 4.6.0


Using this solution, we are going to draw a line in PNG image using the OpenCv library in Python with simple steps. This process also facilities an easy to use, hassle free method to create a hands-on working version of code which would help us draw a line in a image in Python

Support

  1. For any support on kandi solution kits, please use the chat
  2. For further learning resources, visit the Open Weaver Community learning page.


OpenCV is a computer vision library written in C++ and widely used for image and video processing. It offers a range of features for working with photographs and movies, including the ability to load and save images, use filters, find edges, and find and track objects. In collaboration, applications involving image and video processing are frequently created using Python and OpenCV. This combination enables you to develop solid and adaptable programs that can address various computer vision issues.  


In our work as developers, we frequently must read and rotate the photos in our applications to complete various image processing activities, such as recognition, upload, augmentation, training, and many more. There are numerous libraries for Python that enable working with images. Python has features for manipulating, enhancing, and creating more images. In addition to using additional OpenCV functions to apply other transformations to the image, such as scaling, cropping, and applying filters, you can modify the angle of rotation and the image's size to get the desired effect.  


Here is an example of how you can use the imread function of OpenCV for apply border to Image.


Preview of the output that you will get on running this code from your IDE

CODE


In this solution we use the Imread function of the OpenCV.

  1. Copy the code using the "Copy" button above, and paste it in a Python file in your IDE.
  2. Modify the name, location of the image.
  3. Run the code to apply boundary to our image.


I hope you found this useful. I have added the link to dependent libraries, version information in the following sections.


i found this code snippet by searching for "Apply boundary to my image in OpenCv python" in kandi. You can try any such use case!

Dependent Library

If you do not have OpenCV that is required to run this code, you can install it by clicking on the above link and copying the pip Install command from the OpenCV page in kandi.

You can search for any dependent library on kandi like OpenCV

Environment Test

I tested this solution in the following versions. Be mindful of changes when working with other versions


  1. The solution is created and executed in python version 3.7.15 .
  2. The solution is tested on OpenCV 4.6.0


Using this solution, we are able to display an image using the OpenCv library in Python with simple steps. This process also facilities an easy to use, hassle free method to create a hands-on working version of code which would help us display an image in Python

Support

  1. For any support on kandi solution kits, please use the chat
  2. For further learning resources, visit the Open Weaver Community learning page.


OpenCV is a computer vision library written in C++ and widely used for image and video processing. It offers a range of features for working with photographs and movies, including the ability to load and save images, use filters, find edges, and find and track objects. In collaboration, applications involving image and video processing are frequently created using Python and OpenCV. This combination enables you to develop solid and adaptable programs that can address various computer vision issues.  


In our work as developers, we frequently must read and rotate the photos in our applications to complete various image processing activities, such as recognition, upload, augmentation, training, and many more. There are numerous libraries for Python that enable working with images. Python has features for manipulating, enhancing, and creating more images. In addition to using additional OpenCV functions to apply other transformations to the image, such as scaling, cropping, and applying filters, you can modify the angle of rotation and the image's size to get the desired effect.  


In this solution we are going to learn how to change the colors within certain range to another color using OpenCV


Preview of the output that you will get on running this code from your IDE


CODE

In this solution we use the Imread function of the OpenCV.

  1. Copy the code using the "Copy" button above, and paste it in a Python file in your IDE.
  2. Import openCv library
  3. Modify the name, location of the image in the code.
  4. Run the file to get Output


I hope you found this useful. I have added the link to dependent libraries, version information in the following sections.


i found this code snippet by searching for "I want to change the colors in image with python from specific color range to another color" in kandi. You can try any such use case!

Dependent Library

If you do not have OpenCV that is required to run this code, you can install it by clicking on the above link and copying the pip Install command from the OpenCV page in kandi.

You can search for any dependent library on kandi like OpenCV

Environment Test

I tested this solution in the following versions. Be mindful of changes when working with other versions


  1. The solution is created and executed in python version 3.7.15 .
  2. The solution is tested on OpenCV 4.6.0


Using this solution, we are going to Change Brown areas into red using OpenCv using the OpenCv library in Python with simple steps. This process also facilities an easy to use, hassle free method to create a hands-on working version of code which would help us Change Brown areas into red using OpenCv in Python

Support

  1. For any support on kandi solution kits, please use the chat
  2. For further learning resources, visit the Open Weaver Community learning page.


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Community Discussions contain sources that include Stack Exchange Network

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