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- Hacker News
- Missed opportunity to one-up the He-Man joke from earlier :p
- On this tip I always found opencv to work way way faster just dropping the color depth of whatever image as suchby jamal-kumar
- I’d like to take this moment to say that the recent She Ra revival series on Netflix by ND Stevenson (the creator of Nimona) is pretty good, go watch it.by valorzard
- by rob74
- Did you see the "By The Power of Grayscale" submission and go digging?by kazinator
- I basically did the same thing a few weeks ago! =) => https://flatcv.ad-si.com
It will be interesting to see what you did differently!
by adius - Since this is intended for embedded systems, supporting ARM DSP extensions would be beneficial. Correct me if I'm wrong, but I have not seen any compiler generate those instructions, other than through the use of intrinsics.
I would add the support if I needed the library, but I don't, at least not yet.
by vardump - Hey, this is great :) I attempted to do something similar a while back https://github.com/aadv1k/deimos basically trying to build many of OpenCV's functions from scratch in C from first principles, though I was using stb for handling the images. I ended up putting the project on hold, primarily because I lost interest in computer vision at the time.
For a while I went deep into OCR, and built a rather rudimentary stroke width transform (https://github.com/aadv1k/swt.h) but again, the results were very hit or miss, likely because I never took the time to understand the logic behind why these functions would work.
1) Optimise many of the functions (a lot of room to use GPU, multi-threading and what not!). 2) Add new functions and improve the existing edge detection ones
I would love to know of a good resource for computer vision, the various algorithms, optimisation techniques etc. Thanks for sharing this project! Cheers
by aadv1k