Scientify

Advanced · course 4 of 5

Computer Vision Essentials

Learn computer vision fundamentals: Numpy & image basics, image processing, video basics, and object detection with OpenCV.

videos
20
sections
5
portfolio project
1
free videos
4

The Scientify programme is led by Jihar Gifari.

5 sections · 20 videos

What's inside, section by section.

Videos marked Free play right now, no account needed.

Free video · 1/4

Numpy and Image Basics with OpenCV Part 1

Section 1 · CV Part 1 – Numpy and Image Basics with OpenCV

Free videos in this course

01CV Part 1 – Numpy and Image Basics with OpenCV5 videos · 1 free

Computer vision basics: image representation as arrays, reading and displaying images, and basic operations with OpenCV.

  1. 1Numpy and Image Basics with OpenCV Part 1
  2. 2Numpy and Image Basics with OpenCV Part 2
  3. 3Numpy and Image Basics with OpenCV Part 3
  4. 4Numpy and Image Basics with OpenCV Part 4
  5. 5Numpy and Image Basics with OpenCV Part 5
02CV Part 2 – Image Processing6 videos · 1 free

Image processing techniques: color spaces, blurring, thresholding, morphological operations, and edge detection.

  1. 1Image Processing Part 1
  2. 2Image Processing Part 2
  3. 3Image Processing Part 3
  4. 4Image Processing Part 4
  5. 5Image Processing Part 5
  6. 6Image Processing Part 6
03CV Part 3 – Video Basics with OpenCV4 videos · 1 free

Video processing with OpenCV: reading video streams, frame processing, and writing video output.

  1. 1Video Basics with OpenCV Part 1
  2. 2Video Basics with OpenCV Part 2
  3. 3Video Basics with OpenCV Part 3
  4. 4Video Basics with OpenCV Part 4
04CV Part 4 – Object Detection with OpenCV4 videos · 1 free

Object detection using OpenCV: template matching, contour detection, and Haar Cascade classifiers.

  1. 1Object Detection with OpenCV Part 1
  2. 2Object Detection with OpenCV Part 2
  3. 3Object Detection with OpenCV Part 3
  4. 4Object Detection with OpenCV Part 4
05CV Part 5 – Exercise and Project Portfolio 13 – Face Detection1 video

Exercises and face detection portfolio project: build a real-time face detection system using OpenCV.

  1. 1Exercise and Project Portfolio 13 – Face Detection

What you'll learn

  1. 01Numpy & Image Basics with OpenCV
  2. 02Image Processing
  3. 03Video Basics dengan OpenCV
  4. 04Object Detection with OpenCV
  5. 05Face Detection

Who it's for

  • Those who understand Python & Deep Learning
  • Those interested in image/video AI

Tools you'll use

  • NumPy
  • OpenCV
  • Python

Portfolio project

The project you'll build.

Computer Vision – Face Detection Portfolio

Object detection project using OpenCV

Difficulty
Medium
Estimated time
8-10 hours

Skills

  • OpenCV
  • Image Processing
  • Video Processing
  • Object Detection
  • Face Detection

How to buy

Two ways to open this course.

Take a level package if you want several courses at once, or buy just this course.

With a level package

This course is in each of these packages. A package opens its level and every level below it.

  • Advanced package12 coursesRp 129.000 for 1 month · Rp 549.000 for 12 months
See every package price

Buy just this course

How to pay

Want more than one Advanced course? The Advanced package for 1 month (Rp 129.000) opens 12 courses.

Not sure this is the right level?

Answer four questions about what you already know, then see which level to start at.

Advanced package, 1 monthRp 129.000