Zephyr/RTOS port
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- Dominant language
- C++
- Stars
- 90.9k
- Forks
- 57k
- Avg merge
- 2d 15h
- Merged PRs (30d)
- 112
Description
Describe the feature and motivation
OpenCV could work well on MCUs.
Vector acceleration, 400MHz~1000MHz CPUs, MIPI/CSI, USB webcam (host/device) support, H.264 compression harware... This closes the gap with imaging DSPs and MPU.
With all the robotics/edge/IoT development, this would bring the imaging tools embedded device need.
Challenge: sometimes very few RAM. The solution picked by libmpix is to process the data line-by-line.
-> Is the OpenCV team interested in receiving patches to make it work on MCUs upstream?
Portability changes, alternative APIs (streaming lines), support memory-constrained systems...
Thanks!
Additional context
- https://github.com/sparkfun/micropython-opencv/issues/44
- https://github.com/zephyrproject-rtos/zephyr/issues/95170
- https://github.com/libmpix/libmpix/issues/23#issuecomment-3253914983
- https://forum.opencv.org/t/using-opencv-on-risc-v-processors-with-zephyr-rtos/8160
- https://hackaday.com/2022/05/19/opencv-running-on-tiny-microcontroller/
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
No files, tests, or entry points are identified. Start by reviewing the linked Zephyr, libmpix, and forum discussions to determine whether the project has an agreed MCU-porting scope; done would require a defined set of portability or memory-constrained API changes and validation on a supported MCU target.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- cpp
- Domain
- computer-vision, embedded-iot
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100