doods
DOODS - Dedicated Open Object Detection Service (by snowzach)
gocv
Go package for computer vision using OpenCV 4 and beyond. Includes support for DNN, CUDA, and OpenCV Contrib. (by hybridgroup)
| doods | gocv | |
|---|---|---|
| 5 | 13 | |
| 303 | 6,307 | |
| - | 1.6% | |
| 0.0 | 8.3 | |
| about 1 year ago | 21 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.
doods
Posts with mentions or reviews of doods.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-10-17.
- Anyone interested in helping me build a object detection with Tensorflow + Golang
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OS-NVR v0.4.1 Released!
Did you install the DOODS docker? It's not included in the compose samples, but I'm planning to add a it.
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[Project] Cheap privacy focused security camera system with alerts, motion detection and without a monthly subscription, with extra feature like text to speech and audio broadcast
Integration with an object detection service like Frigate or DOODS (https://github.com/snowzach/doods). So motion->object detection condition before sending the alert. Also not sure from the description, but can you play back audio to a single camera?
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Should You Buy the Nvidia Jetson Nano - Who is the Jetson Nano for?
I bought it for the builtin AI acceleration. Currently trying out a DeepStack, DOODS and Home Assistant setup.
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Detect humans, vehicles, animals etc using machine vision from a RTSP video feed
GitHub
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.
-
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 doods and gocv you can also consider the following projects:
Shinobi
yolov5 - YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
fastocloud - Self-hosted IPTV/NVR/CCTV/Video service (Community version)
resize - Pure golang image resizing
Shinobi - :peace_symbol: :palestinian_territories: Shinobi CE - The Free Open Source CCTV platform written in Node.JS (Camera Recorder - Security Surveillance Software - Restreamer
go-opencv - Go bindings for OpenCV / 2.x API in gocv / 1.x API in opencv
OS-NVR - OS-NVR is a lightweight extensible CCTV system. Mirror of Codeberg.
pigo - Fast face detection, pupil/eyes localization and facial landmark points detection library in pure Go.
os-nvr
imaging - Imaging is a simple image processing package for Go
bi-aidetection - Alarm system for Blue Iris based on Artificial Intellience.
smartcrop - smartcrop finds good image crops for arbitrary crop sizes