BackgroundMattingV2 vs FairMOT

Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

www.influxdata.com

featured

SaaSHub - Software Alternatives and Reviews

SaaSHub helps you find the best software and product alternatives

www.saashub.com

featured

BackgroundMattingV2		FairMOT
	Project
3	Mentions	2
6,665	Stars	3,929
-	Growth	-
2.8	Activity	0.0
4 months ago	Latest Commit	8 months ago
Python	Language	Python
MIT License	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.

BackgroundMattingV2

Posts with mentions or reviews of BackgroundMattingV2. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-02-28.

Rotoscoping a video by comparing images
2 projects | /r/AfterEffects | 28 Feb 2023

OR this separate application looks promising, if you can work out Google Collab (I couldn't unfortunately): https://github.com/PeterL1n/BackgroundMattingV2 https://github.com/PeterL1n/RobustVideoMatting
[D] Is this ML project safe?
2 projects | /r/MachineLearning | 14 Jul 2022

I want to use Background Matting V2 professionally; it is very impressive. My concern however is privacy. The successor to this project, Robust Video Matting, says (on its github page) that it was developed at ByteDance Inc. I know this company owns TikTok and are known for storing user data on Chinese servers. My question is, is background matting v2 safe to use? https://github.com/PeterL1n/BackgroundMattingV2
[D] AI Background Removal: a quick comparison between RVM & BGMv2
2 projects | /r/MachineLearning | 10 Oct 2021

GitHub

FairMOT

Posts with mentions or reviews of FairMOT. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-06-01.

Does Multi Object Tracking work better (precision/recall) on videos than jury rigging a SOTA image object detection to work on videos?
4 projects | /r/computervision | 1 Jun 2022
[D] Multi object tracking (MOT)
1 project | /r/MachineLearning | 17 Jun 2021

Looks like FairMOT (https://paperswithcode.com/paper/a-simple-baseline-for-multi-object-tracking) which has code available (https://github.com/ifzhang/FairMOT ).

What are some alternatives?

When comparing BackgroundMattingV2 and FairMOT you can also consider the following projects:

RobustVideoMatting - Robust Video Matting in PyTorch, TensorFlow, TensorFlow.js, ONNX, CoreML!

ByteTrack - [ECCV 2022] ByteTrack: Multi-Object Tracking by Associating Every Detection Box

FastMOT - High-performance multiple object tracking based on YOLO, Deep SORT, and KLT 🚀

yolov5 - YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

EasyOCR - Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.

yolo_tracking - BoxMOT: pluggable SOTA tracking modules for segmentation, object detection and pose estimation models

szabadfogasu-maszk - A face mask detection system using Tensorflow/Keras and OpenCV, for the "<19 Szabadfogású Számítógép" competition in 2020.

TensorFlowTTS - :stuck_out_tongue_closed_eyes: TensorFlowTTS: Real-Time State-of-the-art Speech Synthesis for Tensorflow 2 (supported including English, French, Korean, Chinese, German and Easy to adapt for other languages)

yolact - A simple, fully convolutional model for real-time instance segmentation.

darknet - YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )

multi_object_tracking - Multi-object tracking of water fleas from video. Detects dark blotches on light background, performs multi-object association, tracks them with Kalman filters.