norfair VS PeekingDuck

Compare norfair vs PeekingDuck and see what are their differences.

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norfair PeekingDuck
4 5
2,297 158
1.1% 0.6%
7.0 0.0
25 days ago 10 months ago
Python Python
BSD 3-clause "New" or "Revised" License Apache License 2.0
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.

norfair

Posts with mentions or reviews of norfair. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-03-27.

PeekingDuck

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

What are some alternatives?

When comparing norfair and PeekingDuck you can also consider the following projects:

multi-object-tracker - Multi-object trackers in Python

tensorflow_Realtime_Multi-Person_Pose_Estimation - Multi-Person Pose Estimation project for Tensorflow 2.0 with a small and fast model based on MobilenetV3

yolov4-deepsort - Object tracking implemented with YOLOv4, DeepSort, and TensorFlow.

ailia-models - The collection of pre-trained, state-of-the-art AI models for ailia SDK

zero-shot-object-tracking - Object tracking implemented with the Roboflow Inference API, DeepSort, and OpenAI CLIP.

Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning - My Computer Vision project from my Computer Vision Course (Fall 2020) at Goethe University Frankfurt, Germany. Performance comparison between state-of-the-art Object Detection algorithms YOLO and Faster R-CNN based on the Berkeley DeepDrive (BDD100K) Dataset.

mmtracking - OpenMMLab Video Perception Toolbox. It supports Video Object Detection (VID), Multiple Object Tracking (MOT), Single Object Tracking (SOT), Video Instance Segmentation (VIS) with a unified framework.

gluon-cv - Gluon CV Toolkit

kalmanpy - Implementation of Kalman Filter in Python

AI-basketball-analysis - :basketball::robot::basketball: AI web app and API to analyze basketball shots and shooting pose.

Deep-SORT-YOLOv4 - People detection and optional tracking with Tensorflow backend.

Nodz - Nodz : Visualize your data - Free nodes based graph generator.