Another useful tool for video processing is gstreamer - video can be streamed using gstreamer with the v4l2src element, and processed further using its powerful plugin system. Here is an example of redirecting the video to the xvimagesink element, which simply displays the stream in a window:

Full width at half maximumformula

that value gives $0.88$ to the left and about $0.12$ the the right, two lots of the $0.12$ are $0.24$, so 24% outside and 76% within the $\pm 1.1775\sigma$

Based on popular demand, early Jetson Nano support is also available - opening up a way towards inexpensive, smart camera-enabled solutions that we’d been helping our customers build for many years now.

Full width at half maximumexample

As the camera is available as a v4l2 interface, it can be easily used with any application that supports this standard. Here is an example of displaying the video stream using the qv4l2 GUI:

The driver created by Antmicro for Allied Vision for the Jetson TX2 platform supports all of the cameras released so far in the Alvium series. The code, together with setup instructions, can be found on Allied Vision’s Github repository.

Antmicro had successfully helped its customers build a plethora of products using the TX2 - but varying degrees of support for different camera sensors, and their differing capabilities and interfaces have always been pain points. Working with Allied Vision to create a unified, open source solution has therefore been a very welcome project where we can fill an important gap.

Full width at half maximumcalculator

We’re currently working with Allied Vision to produce Linux drivers supporting Alvium for a broad range of edge AI platforms - next up is the NXP i.MX 8. If you’re interested to get your cameras working in an elegant, scalable fashion for a new embedded device, Antmicro offers expertise in the NVIDIA Jetson Xavier, Xavier NX, Nano, the NXP i.MX series and many other platforms. Find out more at contact@antmicro.com.

Full width at half maximumgraph

Diving in deeper into the drivers, they provide the user with a standard video4linux2 device. Available video formats are obtained dynamically from the camera, and the driver supports all of the possible formats (including Bayer, RGB and YUV). The CSI lane count can be configured to the desired value - from 1x up to 4x CSI lanes. The configurable camera parameters are available to the user as custom video4linux2 controls.

If there is a need to access camera controls remotely, or in a headless system, we have created a useful CLI utility for exactly this use case, called pyvidctrl.

where $\sigma$ is the standard deviation and x0 is the expected value, then the relationship between FWHM and the standard deviation is $${\displaystyle \mathrm {FWHM} =2{\sqrt {2\ln 2}}\;\sigma \approx 2.355\;\sigma .}$$

Throughout the last year, Antmicro has been heavily involved with Allied Vision in developing support for their innovative Alvium camera series. As a first step on a path towards a broader, cross-platform software support for the plug-and-play, ISP cameras, the community recently saw the open source release of the Linux drivers for Alvium cameras on the NVIDIA Jetson TX2 platform.

Full width half maximumresolution

Frames from the camera can also be obtained using the v4l2-ctl CLI tool - below is an example command that will capture 10 frames from the camera and save them into a file called frames.raw:

Full width at half maximumfwhm

Full width at half maximumpdf

Alvium is a brand-new series of cameras by Allied Vision targeting embedded platforms. They are equipped with a custom-made Alvium System-on-Chip that controls the image sensor. The Alvium SoC provides a unified interface for controlling the camera, independent of what sensor it is equipped with. This creates an abstraction layer which takes away the differences in handling various image sensors from the software that controls it.

The key is that it's full width at half maximum, whereas you're thinking of $\pm 2.355\sigma$, which would have a total width of $4.710\sigma$.

A great match for creating edge computing vision systems is the powerful NVIDIA Jetson TX2 platform - the widely used and less power-hungry/expensive predecessor of the current Jetson Xavier (now in both the original and Jetson Nano-compatible form factor). The Jetson TX2 is able to drive up to 6 CSI-2 cameras, and is equipped with a powerful GPU that can be used for image processing.

Stack Exchange network consists of 183 Q&A communities including Stack Overflow, the largest, most trusted online community for developers to learn, share their knowledge, and build their careers.

As released, the driver is configured to support Allied Vision’s adapter board for the TX2 devkit, but other adapters can be used, with adjustments to the configuration in the device tree files. Naturally, we have also been using AV’s cameras in our own projects and with our own hardware kits which feature our 2x4 lane MIPI CSI-2 connectors (as seen in the picture) for which we also have adapters.

Thanks to this modularity aspect, it was possible to create a single, robust driver that supports all current (and future!) Alvium-based cameras and which is able to dynamically obtain a camera’s properties and capabilities, and present them to the user in a unified manner.