opencv VS computervision-recipes

Compare opencv vs computervision-recipes and see what are their differences.

opencv

Experimenting using Machine Vision OpenCV and Python to create software suitable for driving a Golf launch monitor similar to technology like SkyTrak, GC2 and GC Quad (by ronheywood)
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opencv computervision-recipes
1 1
30 9,115
- -
0.0 3.9
about 3 years ago about 1 year ago
Jupyter Notebook Jupyter Notebook
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.

opencv

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

computervision-recipes

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

What are some alternatives?

When comparing opencv and computervision-recipes you can also consider the following projects:

simple-faster-rcnn-pytorch - A simplified implemention of Faster R-CNN that replicate performance from origin paper

fastdup - fastdup is a powerful free tool designed to rapidly extract valuable insights from your image & video datasets. Assisting you to increase your dataset images & labels quality and reduce your data operations costs at an unparalleled scale.

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

smletsexchangeconnector - SMLets PowerShell based Exchange Connector for controlling Microsoft System Center Service Manager 2016+

OwnPhotos - Self hosted alternative to Google Photos

Deep-Learning-Computer-Vision - My assignment solutions for Stanford’s CS231n (CNNs for Visual Recognition) and Michigan’s EECS 498-007/598-005 (Deep Learning for Computer Vision), version 2020.

iterative-grabcut - This algorithm uses a rectangle made by the user to identify the foreground item. Then, the user can edit to add or remove objects to the foreground. Then, it removes the background and makes it transparent.

One-Piece-Image-Classifier - A quick image classifier trained with manually selected One Piece images.

VIAME - Video and Image Analytics for Multiple Environments

MLB-Pitch-Identification-with-ML - Identify the name of a pitch being thrown using a machine learning model.

sod - An Embedded Computer Vision & Machine Learning Library (CPU Optimized & IoT Capable)

synthetic-dataset-object-detection - How to Create Synthetic Dataset for Computer Vision (Object Detection) (Article on Medium)