OpenCV with Python (Computer Vision)

 OpenCV with Python (Computer Vision) - Using Python Learn Computer Vision Course on OpenCV in Python from Basic to Advance

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Welcome to the OpenCV course. If you are interested in the field of Computer Vision or Deep Learning? Then this course is for you.

Nowadays, Computer Vision is used in Automation in every domain such as self-driving cars, warehouses, security, object tracking, feature matching, and many more.

Moreover, in this course, we are covering the basic to advance level core concepts for image and video processing. We have taken a practical approach to explain the core concept of image and video processing. This course is best for students who want to start their career as Computer Vision Engineer.

What you'll learn

• Images and Video read in Python using OpenCV.
• Resizing, Cropping of images and videos in Python using OpenCV.
• Draw shapes on images such as circle, rectangle, ellipse, line.
• Adding text message on images.
• Hide a portion of images using XOR, NOT and AND operation.
• Image manipulation such as smoothing, blurring.
• Read different type of images with (single channel, 3 channel, 4 channel images).
• Image splitting
• Saving Images and Videos files using OpenCV on our PC.
• Color conversation of images (BGR to gray), (BGR to RGB).
• Reading images from different package using PILLOW.
• Most important: contour and its properties for analyzing the shape of the object in an image.
• Detect line on the image with canny algorithm.
• Feature detection on images and matching between the images.
• Common problem student face while working on OpenCV.