gocv VS imaginary

- Updated Docker images with OpenCV

https://github.com/hybridgroup/gocv/releases/tag/v0.36.0

- Installing from source gives me E: Unable to locate package libdc1394-22-dev

Can anyone guess if its possible to e.g. use - https://github.com/hybridgroup/gocv - permanently monitor the network stream via address e.g. http://192.169.178.20/action/stream?subject=mjpeg&user=user&pwd=secret - Generate/Extract a snapshot as image if configured items are detected e.g.: humans, cats, cars, dogs

But if you want to have something to show: I've played around with https://gocv.io/ and was quite impressed what this library can do with the video input from your camera input.

I have just found the gocv package. I have a video analyzer program written in python, however im thinking about rewriting on golang for optimizing the execution time. Its a good idea or its better to just use the phyton one.

https://github.com/hybridgroup/gocv has openCV bindings.

I am working on a custom model, I have been through this example to apply it on my use case but the output I get has random detection from perform detection, how do I work with gocv.Mat structure and is there any example with yolo darknet model? Any help is appreciated if you can direct me to right resources where I can better understand how the output mat is to be parsed to get the box! Thanks in advance!

I think https://github.com/hybridgroup/gocv accepts tensorflow model format, why not use that?

The repo leverages gocv and can be run using CUDA(performance results here). If there's any interest I can create one for YOLO V4 as well.

WebP also frequently produces lower quality or blurry images: - https://wordpress.org/support/topic/images-going-blurry/ - https://github.com/h2non/imaginary/issues/240

One thing I didn't mention that AIO includes is a container called imaginary which is written in Go and processes images. I think this is mainly used here for generating image previews in NC.

Thanks. This is new to me. How is it different from https://github.com/h2non/imaginary?

There is also battle-tested imaginary tool [1], offering similar functionality and much more, also using libvips

[1] https://github.com/h2non/imaginary

Imaginary is a fast HTTP microservice written in Go allowing high-level image processing. Behind the scene, imaginary uses bimg and libvips libraries to perform the image manipulations.