COMBINE 2 IMAGES TO FORM A SINGLE IMAGE
3 min readJun 4, 2021
PRE-REQUITIES ::
* Install cv2 module
command: pip install OpenCV-python|| OpenCV is a cross-platform library using which we can develop real-time computer vision applications.
**It mainly focuses on image processing, video capture and analysis including features like face detection and object detection.
|| OpenCV-Python makes use of Numpy , which is a highly optimized library for numerical operations with a MATLAB-style syntax.
1.Import cv2 and numpy.
2. Load Images.
* cv2.imread() :: loads an image from the specified file.
SYNTAX: cv2.imread (path)
3. Crop the images
By this slicing, images get halved
4. See the desired output.
# Add an image in the window : display
SYNTAX :: cv2.imshow (window_name, image)# wait for a specific time in milliseconds
SYNTAX :: cv2.waitKey() # Destroys the window showing image
SYNTAX :: cv2.destroyAllWindows()
OUTPUT :
5. we are going to take 4 images.
6. Make all images of same size.
SYNTAX: resizeImg = cv2.resize(img, (new_w, new_h))
7. To attach images.
* numpy.hstack() function is used to stack the sequence of input arrays horizontally (i.e. column wise) to make a single array. SYNTAX : numpy.hstack (tup)
Where,
tup - sequence of ndarrays
8. To combine images.
* numpy.vstack() function is used to stack the sequence of input arrays vertically (i.e. row wise) to make a single array.SYNTAX : numpy.vstack (tup)
Where,
tup - sequence of ndarrays
9. See the desired output.
# Add an image in the window : display
SYNTAX :: cv2.imshow (window_name, image)# wait for a specific time in milliseconds
SYNTAX :: cv2.waitKey() # Destroys the window showing image
SYNTAX :: cv2.destroyAllWindows()
FINAL CODE :
OUTPUT ::
