SipMask VS multi-object-tracking-in-python

Compare SipMask vs multi-object-tracking-in-python and see what are their differences.

SipMask

SipMask: Spatial Information Preservation for Fast Image and Video Instance Segmentation (ECCV2020) (by JialeCao001)

multi-object-tracking-in-python

📡 implementation of multi object tracking algorithms including PMBM (Poisson Multi Bernoulli Mixture filter) in Python 🐍 (by kharitonov-ivan)
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SipMask multi-object-tracking-in-python
1 2
333 201
- -
0.0 3.5
about 3 years ago 6 months ago
Jupyter Notebook Jupyter Notebook
MIT 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.
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SipMask

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

multi-object-tracking-in-python

Posts with mentions or reviews of multi-object-tracking-in-python. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-11-15.

What are some alternatives?

When comparing SipMask and multi-object-tracking-in-python you can also consider the following projects:

Yet-Another-EfficientDet-Pytorch - The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.

FOXTracker - Facial Head Pose Tracker for Gaming

automl - Google Brain AutoML

whotracks.me - Data from the largest and longest measurement of online tracking.

Vision-Project-Image-Segmentation

Deepstream - yolov5, yolov8, segmenations, face, pose, keypoints on deepstream

cellpose - a generalist algorithm for cellular segmentation with human-in-the-loop capabilities

examples - 📝 Examples of how to use Neptune for different use cases and with various MLOps tools

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.

TrackerComponentLibrary - This is a collection of Matlab functions that are useful in the development of target tracking algorithms.

SportsLabKit - A python package for turning sports video into csv files