Originally published at: http://valuecourses.com/courses/python-opencv-computer-vision-training-wsq-courses/
OpenCV is an open-source toolkit for advanced computer vision. It is one of the most popular tools for facial recognition, used in a wide variety of security, marketing, and photography applications, and it powers a lot of cutting-edge tech, including augmented reality and robotics.
This course introduces OpenCV 4 for Python 3. It will show how to leverage the image-processing power of OpenCV to identify and recognize features.
Course Highlights
- Set up your Raspberry Pi and master computer vision with OpenCV
- Work with images, videos, webcams, the Pi camera, and create amazing timelapse videos
- Blend images and create artistic effects such as image transitioning
- Transform images, change colorspaces, and track objects based on colors
- Use various high- and low-pass filters to remove noise from the image
- Find contours and segments in images and detect edges, lines, and circles
- Face Recognition
Certificate
All participants will receive a Certificate of Completion from Tertiary Courses after achieved at least 75% attendance.
Funding and Grant Applications
Click the links below to apply. Note that you need to register the course first.
SkillsFuture Credit
For individuals, please submit your SkillsFuture Credit
SSG TG and AP Application
For companies, please fill up the SSG Training Grant Application Form after you have registered for this course
Please do not pay up front. We will advise you on the eligibility and nett fee after registration
For WSQ funding, please checkout the details at NICF – Image and Video Processing with OpenCV
UTAP
Eligible NTUC members can apply for 50% cash rebate of the unfunded fee from UTAP, capped at $250 per year. Click here to submit UTAP
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Courses are provided by tertiarycourses.com.sg