gocv
Primitive Pictures
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gocv | Primitive Pictures | |
---|---|---|
13 | 15 | |
6,289 | 12,329 | |
3.0% | - | |
8.3 | 0.0 | |
16 days ago | 7 months ago | |
Go | Go | |
GNU General Public License v3.0 or later | MIT License |
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.
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.
Primitive Pictures
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Vtracer: Next-Gen Raster-to-Vector Conversion
TIL about https://github.com/fogleman/primitive from https://en.m.wikipedia.org/wiki/Comparison_of_raster-to-vect...
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Forest
Looks great! I've been thinking of having my own attempt at something like this ever since I saw a similar idea at primitive.lol
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A better compact image placeholder hash
Looks like it's made with https://github.com/fogleman/primitive
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Turn an image into blocky colour shapes
If you're looking for a more artistic arrangement of coloured blocks, and you've got some skills (or a Mac), there is this one application that's fun to play with. But I'm sure there are other ways.
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Do you know any stories of successful devs that struggled in the beginning?
Some examples off the top of my head (not game-dev specific) are https://www.michaelfogleman.com/ (creator of https://primitive.lol/), Marco Arment (https://marco.org/ - Overcast), or Pieter Levels (sadly as I write this I found that his blog seems to have been taken down and just redirects to his twitter https://twitter.com/levelsio?ref=levels.io - but still has a laundry list of projects old and new in his twitter bio)
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How do we cross-compile GitHub repositories nowadays without go get?
Any ideas on how I could simply cross-compile a non-module GitHub repository to three different architectures with predictable filenames? I wouldn't mind setting up a go.mod file, the problem is I would like to compile the executable in the github.com/fogleman/primitive repository, not my own code.
- Other ways to direct my plotter
- Primitive Pictures – Reproducing images with geometric primitives
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Experiment in evolving the smallest image file format
Consider an SVG from [Primitive](https://github.com/fogleman/primitive) and a mostly-transparent overlay containing the diff against the original image. Tuning Primitive is not entirely deterministic (like your algorithm) and I think a human interface for the front-end would allow a few knobs to erase parts of the diff in order to shrink the detail imperceptively. Seems like a good opportunity for a contest :)
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Combine neural painting with deepbrush for 100% realistic computer-made painting?
I think stroke-based painting methods like these are neat: https://github.com/jiupinjia/stylized-neural-painting https://github.com/fogleman/primitive
What are some alternatives?
yolov5 - YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
imaginary - Fast, simple, scalable, Docker-ready HTTP microservice for high-level image processing
resize - Pure golang image resizing
mpo - JPEG-MPO Decoder / Converter Library and CLI Tool
go-opencv - Go bindings for OpenCV / 2.x API in gocv / 1.x API in opencv
svgo - Go Language Library for SVG generation
pigo - Fast face detection, pupil/eyes localization and facial landmark points detection library in pure Go.
gg - Go Graphics - 2D rendering in Go with a simple API.
imaging - Imaging is a simple image processing package for Go
gltf - :eyeglasses: Go library for encoding glTF 2.0 files
smartcrop - smartcrop finds good image crops for arbitrary crop sizes