Making Own Image And Image Collage with Python OpenCV library

Govind Bhardwaj

3 min readJun 8, 2021

Task Description 📄

🔅 Task Step 1

📌 Create image by yourself Using Python Code

🔅 Task Step 2

📌 Take 2 image crop some part of both image and swap it.

🔅 Task Step 3

📌 Take 2 image and combine it to form single image. For example collage

Introduction to python OpenCV Library-

OpenCV (Open Source Computer Vision Library: http://opencv.org) is an open-source library that includes several hundreds of computer vision algorithms. The document describes the so-called OpenCV 2.x API, which is essentially a C++ API, as opposed to the C-based OpenCV 1.x API (C API is deprecated and not tested with “C” compiler since OpenCV 2.4 releases)

OpenCV has a modular structure, which means that the package includes several shared or static libraries. The following modules are available:

Core functionality (core) — a compact module defining basic data structures, including the dense multi-dimensional array Mat and basic functions used by all other modules.
Image Processing (imgproc) — an image processing module that includes linear and non-linear image filtering, geometrical image transformations (resize, affine and perspective warping, generic table-based remapping), color space conversion, histograms, and so on.
Video Analysis (video) — a video analysis module that includes motion estimation, background subtraction, and object tracking algorithms.
Camera Calibration and 3D Reconstruction (calib3d) — basic multiple-view geometry algorithms, single and stereo camera calibration, object pose estimation, stereo correspondence algorithms, and elements of 3D reconstruction.
2D Features Framework (features2d) — salient feature detectors, descriptors, and descriptor matchers.
Object Detection (objdetect) — detection of objects and instances of the predefined classes (for example, faces, eyes, mugs, people, cars, and so on).
High-level GUI (highgui) — an easy-to-use interface to simple UI capabilities.
Video I/O (videoio) — an easy-to-use interface to video capturing and video codecs.

To do these tasks We will use “cv2” module

Task Step -1

In task step we find by hit and trial some coordinates which are making our required image . Here waitKey() will hold image at infinity time if “Enter” key is not pressed

Task Step -2

In this task we took two image and after crop some part of images we swap it with python code using numpy operation .

Task Step -3

In this task step we will take two image then we will create a collage with these images . We can these images horizontally with numpy.hstack() and vertically with numpy.vstack()