Updated April 5, 2023
Introduction to OpenCV Python
The Python application programming interface of OpenCV is called OpenCV Python, which is a combination of all the best qualities of OpenCv C++ application programming interface and Python programming language, which Guido Van Rossum started, and Python programming language can be easily extended with C or C++ programming languages. It enables the creation of Python wrappers which can be used as Python modules, and this Python wrapper created around the implementation of C or C++ demonstrates the working of OpenCV, and with the support of NumPy, the creation of Python wrappers around the original implementation of C or C++ becomes easier.
Working of OpenCV Python
- Python programming language is slower when compared to programming languages like C and C++.
- But Python programming language can be easily extended with C or C++ programming languages.
- Extension of Python programming language with C or C++ programming languages enables the creation of Python wrappers which can be used as Python modules.
- The creation of Python wrappers that can be used as Python modules makes it as fast as the original C or C++ implementation, and coding in Python is very easier.
- The support of NumPy makes the working of OpenCV easier.
Need for OpenCV Python
- A wide variety of programming languages like Java, Python, C++, etc., is supported by OpenCV.
- OpenCV is available on a wide variety of platforms like Linux, Windows, OS X, iOS, Android, etc.
- A lot of algorithms related to machine learning, computer vision, etc., is supported by OpenCV.
- The support of OpenCV for trending technologies is expanding day by day.
- OpenCV is an open-source available for free of cost, and all of us can contribute to the development of OpenCV.
- The usage of RAM by OpenCV is really less.
- It is portable as it can be run on all devices that can run C or C++ programs.
- Python programming language can be easily extended with C or C++ programming languages.
- Extension of Python programming language with C or C++ programming languages enables the creation of Python wrappers which can be used as Python modules.
- The creation of Python wrappers that can be used as Python modules makes it as fast as the original C or C++ implementation, and coding in Python is very easier.
- The support of NumPy makes the working of OpenCV easier.
- All the operations that can be performed using NumPy can be combined with OpenCV.
Advantages of OpenCV Python
- A wide variety of programming languages like Java, Python, C++, etc., is supported by OpenCV.
- OpenCV is available on a wide variety of platforms like Linux, Windows, OS X, iOS, Android, etc.
- A lot of algorithms related to machine learning, computer vision, etc., is supported by OpenCV.
- The support of OpenCV for trending technologies is expanding day by day.
- OpenCV is an open-source available for free of cost, and all of us can contribute to the development of OpenCV.
- The usage of RAM by OpenCV is really less.
- It is portable as it can be run on all devices that can run C or C++ programs.
- Python programming language can be easily extended with C or C++ programming languages.
- Extension of Python programming language with C or C++ programming languages enables the creation of Python wrappers which can be used as Python modules.
- The creation of Python wrappers that can be used as Python modules makes it as fast as the original C or C++ implementation, and coding in Python is very easier.
- The support of NumPy makes the working of OpenCV easier.
- All the operations that can be performed using NumPy can be combined with OpenCV.
Disadvantages of OpenCV Python
- If we are to compare OpenCV with MATLAB, MATLAB is very much easier to use.
- OpenCV Python has its own library called Flann library, which rises conflict issues when we try to use the OpenCV library with Point Cloud Library.
Applications
- There are several areas where OpenCV with Python can be applied to process images and videos to extract useful information.
- Some of the common application areas are Image Processing, Face Recognition, Face Detection, Object Detection, etc.
- The images can be read, written, showed, or processed using OpenCV Python in the area of image processing.
- New images can be created from a given image by changing its color, shape or extracting some useful information from the given image in the area of image processing.
- Faces can be detected from a live streaming video using a web camera using OpenCV Python in the area of Face Detection.
- Faces can be detected from the images or videos stored locally using OpenCV in the area of Face Detection.
- Face detection followed by drawing the bounding boxes around the faces and then training the model using machine learning algorithms, the faces can be recognized in the area of face recognition.
- When OpenCV is combined with YOLO, the objects can be detected from the images and videos, which can be static or in motion using object detection algorithms in object detection.
Career path
- The future scope of OpenCV Python is huge in both commercial and government organizations.
- The demand for OpenCV Python developers in the area of transportation for developing autonomous driving in the automated driver-assist system, in the detection of traffic signs, in the detection of pedestrians, in the detection of driver fatigue, etc., is huge.
- The demand for OpenCV Python developers in the area of medical imaging for the analysis of microscopic images, cardiovascular images, mammography, etc., is huge.
- The demand for OpenCV Python developers in the area of manufacturing to develop rotation invariant detectors is huge.
- The demand for OpenCV Python developers in the area of the public sector and security for the detection of pedestrians, future events prediction, etc., is huge.
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This is a guide to OpenCV Python. Here we have discussed the concept of OpenCV Python through definition, working, necessity, advantages, disadvantages, applications, future scope, etc. You may also look at the following articles to learn more –
