skyhookml
gocv
| skyhookml | gocv | |
|---|---|---|
| 1 | 13 | |
| 8 | 6,307 | |
| - | 1.6% | |
| 0.0 | 8.3 | |
| almost 3 years ago | 22 days ago | |
| Go | Go | |
| MIT License | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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skyhookml
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SkyhookML: Easy-to-use Web Platform for Computer Vision
But if you have a chance to try it, I'd love to get some feedback on the system! SkyhookML requires a Linux machine with NVIDIA GPU, and the easiest way to deploy it is via an all-in-one Docker container.
gocv
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GoCV 0.36 has just been released, no fooling
- Updated Docker images with OpenCV
https://github.com/hybridgroup/gocv/releases/tag/v0.36.0
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How can I install gocv?
- Installing from source gives me E: Unable to locate package libdc1394-22-dev
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Using GoCV to extract snapshots from IP-camera videostream
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
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Can I build projects in Go without knowing front-end/client development?
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.
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Is the opencv4 binding more efficient than python?
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.
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Image manipulation with Go
https://github.com/hybridgroup/gocv has openCV bindings.
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GoCV on the yolo Darknet model
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!
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Anyone interested in helping me build a object detection with Tensorflow + Golang
I think https://github.com/hybridgroup/gocv accepts tensorflow model format, why not use that?
- Recommendations for building a reverse image search engine
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Go Object Detection Package (YOLO V3)
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.
What are some alternatives?
onepanel - The open source, end-to-end computer vision platform. Label, build, train, tune, deploy and automate in a unified platform that runs on any cloud and on-premises.
yolov5 - YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
caire - Content aware image resize library
resize - Pure golang image resizing
go-opencv - Go bindings for OpenCV / 2.x API in gocv / 1.x API in opencv
pigo - Fast face detection, pupil/eyes localization and facial landmark points detection library in pure Go.
imaging - Imaging is a simple image processing package for Go
smartcrop - smartcrop finds good image crops for arbitrary crop sizes
imaginary - Fast, simple, scalable, Docker-ready HTTP microservice for high-level image processing
bimg - Go package for fast high-level image processing powered by libvips C library
goimagehash - Go Perceptual image hashing package
govips - A lightning fast image processing and resizing library for Go