UNINEXT
UniTrack
| UNINEXT | UniTrack | |
|---|---|---|
| 2 | 1 | |
| 1,443 | 335 | |
| - | - | |
| 5.5 | 1.8 | |
| 10 months ago | about 2 years ago | |
| Python | Python | |
| MIT License | MIT License |
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.
UNINEXT
-
[R] Universal Instance Perception as Object Discovery and Retrieval (Video Demo)
Hi, we have uploaded the complete paper (https://github.com/MasterBin-IIAU/UNINEXT/blob/master/assets/UNINEXT_Paper.pdf) to our repo. You can find more details in the paper :) About the first question, the input videos are NOT segmented aforehand and all target masks are predicted by our UNINEXT model. For SOT and VOS, we use target annotations (box or mask) from the first frame as the prompts. This helps UNINEXT to segment corresponding targets in the following frames.
UniTrack
-
Multi Object Tracking from moving camera
Great suggestion! I’ll add the github link.
What are some alternatives?
VolleyVision - Applying Deep Learning Approaches to Volleyball Data
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.
ailia-models - The collection of pre-trained, state-of-the-art AI models for ailia SDK
ByteTrack - [ECCV 2022] ByteTrack: Multi-Object Tracking by Associating Every Detection Box
py-motmetrics - :bar_chart: Benchmark multiple object trackers (MOT) in Python
norfair - Lightweight Python library for adding real-time multi-object tracking to any detector.
TagMaps - Spatio-Temporal Tag and Photo Location Clustering for generating Tag Maps
unimatch - [TPAMI'23] Unifying Flow, Stereo and Depth Estimation
VNext - Next-generation Video instance recognition framework on top of Detectron2 which supports InstMove (CVPR 2023), SeqFormer(ECCV Oral), and IDOL(ECCV Oral))