raspicam-rs

Rust bindings to the amazing C++ raspicam library (with optional OpenCV utilities)!

This is a followup to a Rust-based robotics project I worked where high FPS low latency and full color support was a requirement: ez-aquarii

Example usage showing how to capture a single image and save it with OpenCV Rust bindings:

```rs use opencv::core::Vector; use raspicamrs::{ bindings::{RASPICAMEXPOSURE, RASPICAM_FORMAT}, RaspiCam, };

fn main() { RaspiCam::new(); let mut raspicam = raspicamrs::RaspiCam::new(); raspicam .setbrightness(50) .setcontrast(0) .setformat(RASPICAMFORMAT::RASPICAMFORMATRGB) .open(true); let frame = raspicam.grabimage_mat().unwrap(); opencv::imgcodecs::imwrite("./frame.png", &frame, &Vector::default()).unwrap(); } ```

How to configure

These bindings use something similar to a builder pattern to configure the camera. You can chain configuration commands together:

rs let mut raspicam = raspicam_rs::RaspiCam::new(); raspicam .set_brightness(50) .set_contrast(0) .set_exposure(RASPICAM_EXPOSURE::RASPICAM_EXPOSURE_OFF) .set_format(RASPICAM_FORMAT::RASPICAM_FORMAT_RGB) .set_sensor_mode(7) .open(true);

If there is a method that isn't available directly, you can call methods on the internal C++ object like so:

rs let mut camera = raspicam_rs::RaspiCam::new(); raspicam.obj.pin_mut().startCapture();

Achieving high FPS low latency fullcolor

In my experience, high FPS fullcolor realtime processing can be achieved using low resolutions (480x480 as an example), sensor mode 7, shutter speed 15000, and setting the framerate 90.

A real-world demo of low latency camera capturing (predates this library but same result can be achieved): Check Here