4.13 (219 reviews)
☑ Manipulate and open Images with NumPy
☑ Perform image manipulation with OpenCV, including smoothing, blurring, thresholding, and morphological operations.
☑ Use OpenCV to work with image files
☑ Draw shapes on images and videos with OpenCV
Welcome to the ultimate online course on Python for Computer Vision!
This course is your best resource for learning how to use the Python programming language for Computer Vision.
We'll be exploring how to use Python and the OpenCV (Open Computer Vision) library to analyze images and video data.
The most popular platforms in the world are generating never before seen amounts of image and video data. Every 60 seconds users upload more than 300 hours of video to Youtube, Netflix subscribers stream over 80,000 hours of video, and Instagram users like over 2 million photos! Now more than ever it's necessary for developers to gain the necessary skills to work with image and video data using computer vision.
Computer vision allows us to analyze and leverage image and video data, with applications in a variety of industries, including self-driving cars, social network apps, medical diagnostics, and many more.
As the fastest growing language in popularity, Python is well suited to leverage the power of existing computer vision libraries to learn from all this image and video data.
In this course, we'll teach you everything you need to know to become an expert in computer vision! This $20 billion dollar industry will be one of the most important job markets in the years to come.
We'll start the course by learning about numerical processing with the NumPy library and how to open and manipulate images with NumPy. Then will move on to using the OpenCV library to open and work with image basics. Then we'll start to understand how to process images and apply a variety of effects, including color mappings, blending, thresholds, gradients, and more.
Computer Vision Introduction
Read Write & Show Image
Read Write & Show Image using webcam
Image Basics with Computer Vision
Draw Geometric Shapes
Mouse Event Handling
Arithmetic Operation on Images
Bitwise Operation on Images
Translation of Image
Rotation of Image
Scaling of Image
Blurring and Smoothening of Image
Sharpening of Image
Computer Vision Methods
Erosion & Dilation
Sorting of Contours
Matching of Contours
Live Sketch Project
The instructor explains well but no materials were provided during the course. At least the code been explained must be available. Overall the lecture is good but the audio and captions are not good.
The audio is pretty choppy in the initial videos and its difficult to focus. I wish the creator paid little attention to presentation. Udemy needs to do a better job at vetting courses before allowing them on their platform
This course is awsome for a beginner who doesnt know anything about opencv . you can gain a solid basics out of this course.
There could be lot of changes in the content as the instructor is telling that they have given a video in how to install python and opencv through anaconda but there is nothing as such 3 and a half stars because of their efforts in the course but the knowledge the instructor is sharing is really valuable.
Amazing Course.Before this course I am not so interested in OpenCv. But After this course I am very interested for High level OpenCv Projects.