imaging
Imaging is a simple image processing package for Go (by disintegration)
gocv
Go package for computer vision using OpenCV 4 and beyond. Includes support for DNN, CUDA, and OpenCV Contrib. (by hybridgroup)
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| imaging | gocv | |
|---|---|---|
| 5 | 13 | |
| 5,061 | 6,277 | |
| - | 2.9% | |
| 0.0 | 6.6 | |
| 7 months ago | 10 days ago | |
| Go | Go | |
| MIT License | GNU General Public License v3.0 or later |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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.
imaging
Posts with mentions or reviews of imaging.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-02-10.
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Seeking advice on monetizing an open-source Golang-based video transcoding project developed during university
There are a number of projects using manipulation libraries like https://github.com/disintegration/imaging which is already MIT licensed, and then there are various transcoders which I am unfamiliar with, but you will want to consider if you add enough value to make use of those unimportant to the decision to pay.
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io.Pipe vs bytes.Buffer
Sorry for not putting this code in my post. The input isn't from an *os.File, but rather from HTTP request captured by gin and it's on MultipartForm.File. The reason being why I had to do all these shenanigans is because I have to preprocess the image using this module: https://github.com/disintegration/imaging
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Tran - 🖥 Securely transfer and send anything between computers with TUI.
Imaging
- Image manipulation with Go
- Image filters / image editing
gocv
Posts with mentions or reviews of gocv.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-04-01.
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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?
When comparing imaging and gocv you can also consider the following projects:
imaginary - Fast, simple, scalable, Docker-ready HTTP microservice for high-level image processing
yolov5 - YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
bimg - Go package for fast high-level image processing powered by libvips C library
resize - Pure golang image resizing
fastimage - Finds the type and/or size of a remote image given its uri, by fetching as little as needed.
go-opencv - Go bindings for OpenCV / 2.x API in gocv / 1.x API in opencv
Primitive Pictures - Reproducing images with geometric primitives.
pigo - Fast face detection, pupil/eyes localization and facial landmark points detection library in pure Go.
bild - Image processing algorithms in pure Go
smartcrop - smartcrop finds good image crops for arbitrary crop sizes