What is Firesize?
What is OpenCV?
Want advice about which of these to choose?Ask the StackShare community!
Why do developers choose Firesize?
Sign up to add, upvote and see more prosMake informed product decisions
What are the cons of using Firesize?
What are the cons of using OpenCV?
What companies use Firesize?
Sign up to get full access to all the companiesMake informed product decisions
I used both scikit-image and OpenCV for image processing and cell identification on the backend. Trained to identify malaria cells based on image datasets online. When it comes to quick training for image processing, OpenCV and scikit-image are the two best choices in my opinion. The approach I took to cell detection was template-matching and edge detection based. Both are highly tested and very powerful features of the Scikit Image and OpenCV libraries, and also have great Python interfaces.
I use openCV to serve as "motion capture" logic for my home security cameras. Which means that instead of capturing in a dumb way based on motion, it captures video when it recognizes human faces or bodies. This saves a lot of disk, but at the expense of CPU.
CV glue. Modified libraries for pattern-detection. Some pattern training tasks. HoG matching. Transform