imagezmq VS imagenode

Compare imagezmq vs imagenode and see what are their differences.

imagezmq

A set of Python classes that transport OpenCV images from one computer to another using PyZMQ messaging. (by jeffbass)

imagenode

Capture and Selectively Send Images and Sensor Data; detect Motion; detect Light (by jeffbass)
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imagezmq imagenode
0 0
883 31
- -
3.3 0.0
6 months ago 6 months ago
Python Python
MIT License MIT License
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.

imagezmq

Posts with mentions or reviews of imagezmq. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning imagezmq yet.
Tracking mentions began in Dec 2020.

imagenode

Posts with mentions or reviews of imagenode. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning imagenode yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing imagezmq and imagenode you can also consider the following projects:

imagehub - Receive and save images from multiple Raspberry Pi's

Beginner-Traffic-Light-Detection-OpenCV-YOLOv3 - This is a python program using YOLO and OpenCV to detect traffic lights. Works in The Netherlands, possibly other countries

YOLO-Mosaic - Perform mosaic image augmentation on data for training a YOLO model

lane-detection-opencv - This is for detecting any lane in the road to identify the road map

opencv-steel-darts - Automatic scoring system for steel darts using OpenCV, a Raspberry Pi 3 Model B and two webcams.