Crate eye[][src]

Expand description

Eye is a cross platform camera capture and control library.

Things like zero-copy buffer capture and transparent pixel format conversion are hallmark features of Eye which distinguish it from other camera capture crates.

Additional documentation can currently also be found in the README.md file which is most easily viewed on github.

Jump forward to crate content

Overview

Devices are created from platform specific indices. On Linux for example, the index 0 maps to the node present at /dev/video0 which is usually the first device seen by the kernel.

Device instances can be used to perform various management and control tasks such as modifying the capture format, altering hardware parameters and more. For example, you would use the device API to set the exposure level or enable the autofocus mode of a connected camera.

When it comes to actually capturing frames from the camera, you use the stream API instead. All devices offer a stream() call which returns the ‘native’ buffer stream, i.e. no copying is involved in userspace unless transparent format conversion is explicitly requested through the device API. Streams should abstract the native platform capture concepts and automatically choose the best way to grab frames from the camera as exposed by the OS drivers. For example, Linux platforms will almost always use mapped buffers or user mode buffers instead of just reading bytes into a userspace buffer which involves expensive copying in the driver.

The common user of this crate will mainly be interested in frame capturing. Here is a very brief example of streaming I/O:

use std::io;
use eye::prelude::*;

// Create a context
let ctx = Context::new();

// Query for available devices.
let devices = ctx.query_devices().expect("Failed to query devices");
if devices.is_empty() {
    panic!("No devices available");
}

// First, we need a capture device to read images from. For this example, let's just choose
// whatever device is first in the list.
let dev = Device::with_uri(&devices[0]).expect("Failed to open video device");

// Query for available streams and just choose the first one.
let streams = dev.query_streams().expect("Failed to query streams");
let stream_desc = streams[0].clone();
println!("Stream: {:?}", stream_desc);

// Since we want to capture images, we need to access the native image stream of the device.
// The backend will internally select a suitable implementation for the platform stream. On
// Linux for example, most devices support memory-mapped buffers.
let mut stream = dev.start_stream(&stream_desc).expect("Failed to setup capture stream");

// Now we are all set to start capturing some frames!
let _frame = stream
    .next()
    .expect("Stream is dead")
    .expect("Failed to capture frame");

Have a look at the examples to learn more about device and stream management.

Modules

colorconvert
context
control
device
format
frame
hal

Hardware Abstraction Layer (HAL)

prelude
stream
traits