goimagehash
gocv
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| goimagehash | gocv | |
|---|---|---|
| 2 | 13 | |
| 694 | 6,277 | |
| - | 2.9% | |
| 3.3 | 6.6 | |
| 3 months ago | 12 days ago | |
| Go | Go | |
| BSD 2-clause "Simplified" 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.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
goimagehash
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?
bimg - Go package for fast high-level image processing powered by libvips C library
yolov5 - YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
Angular 2 Image Gallery - Image Gallery built with Angular 17+, node.js and GraphicsMagick
resize - Pure golang image resizing
Primitive Pictures - Reproducing images with geometric primitives.
go-opencv - Go bindings for OpenCV / 2.x API in gocv / 1.x API in opencv
pt - A path tracer written in Go.
pigo - Fast face detection, pupil/eyes localization and facial landmark points detection library in pure Go.
imagick - Go binding to ImageMagick's MagickWand C API
imaging - Imaging is a simple image processing package for Go
gg - Go Graphics - 2D rendering in Go with a simple API.
smartcrop - smartcrop finds good image crops for arbitrary crop sizes