Image Processing and Computer Vision with Python & OpenCV
Image Processing and Computer Vision with Python & OpenCV
Duration: 9h 20m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 6.98 GB
Genre: eLearning | Language: English
Duration: 9h 20m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 6.98 GB
Genre: eLearning | Language: English
Learn Image Processing and Computer Vision from AI (ML & DL) professional
What you'll learn
Image Processing with Python (skimage) (90% hands on and 10% theory)
Image Processing and Computer Vision with OpenCV (90% hands on and 10% theory)
Morphological operations with OpenCV (90% hands on and 10% theory)
Face detection with OpenCV (90% hands on and 10% theory)
Feature detection with OpenCV (90% hands on and 10% theory)
Image matching with skimage (90% hands on and 10% theory)
Object detection with OpenCV (90% hands on and 10% theory)
Digit recognition with OpenCV (90% hands on and 10% theory)
Requirements
1. Passion for Learning 2. Curiosity for image analysis 3. NumPy knowledge
Description
The Image Processing and Computer Vision world is too big to comprehend. It has been backbone of many industry including Deep Learning. It is used across multiple places. As practitioner, I am trying to bring many relevant topics under one umbrella in following topics.
1. Image Processing with Python (skimage) (90% hands on and 10% theory)
2. Image Processing and Computer Vision with OpenCV (90% hands on and 10% theory)
3. Morphological operations with OpenCV (90% hands on and 10% theory)
4. Face detection with OpenCV (90% hands on and 10% theory)
5. Feature detection with OpenCV (90% hands on and 10% theory)
6. Image matching with skimage (90% hands on and 10% theory)
7. Object detection with OpenCV (90% hands on and 10% theory)
8. Digit recognition with OpenCV (90% hands on and 10% theory)
Who this course is for:
Any one eager to know about Image Processing and Computer Vision
More Info
Image Processing and Computer Vision with Python & OpenCV
