Lec2: Hands-on Session1: Implementation of Image Processing using Python
Coverage of Hands-on Session on Implementation of Image Processing using Python. Following topics are covered:
0:00 Purpose of the video is to aware the listeners about "How to start with implementing fundamental of Image processing using Python"
1:36 How to start working on Google Colab?
2:09 Advantage of using Google 1:14:Colab and How to start working on Google Colab?
5:12 Writing a simple code on Colab.
7:47 Connecting Google Drive files with Colab.
17:40 Uploading an image on Google Drive.
18:29 Getting file path of an image uploaded on google drive from colab.
19:37 Python packages required for image processing.
25:50 Reading an image using cv.imread and displaying an image using cv2_imshow
41:41 Displaying an image using plt.imshow
42:45 cv.imread function reads image in BGR format whereas plt.imshow display the image in RGB format.
47:23 Displaying image in BGR format with plt.imshow by converting the image into RGB from BGR.
51:29 Displaying more than one image using plt.figure()
54:00 Use of subplot to display more than one image in a single figure.
58.57 Saving processed image on google drive.
1:02:00 Getting the dimensions of an image.
1:05:25 Changing the size of an image.
1:09:00 Converting color image to grayscale image
1:14:45 Converting grayscale image to binary image
1:24:00 Creating an image using python code.
1:37:30 Reading an image and video from webcam.
You can refer the tutorial from pdf at
https://github.com/nishantjain86/Imag...