LOTICv2
LOTIC machine learning code made for use with Nvidia Xavier NX and YOLO object detection models (by keaneflynn)
FastMOT
High-performance multiple object tracking based on YOLO, Deep SORT, and KLT 🚀 (by GeekAlexis)
LOTICv2 | FastMOT | |
---|---|---|
1 | 2 | |
4 | 1,095 | |
- | - | |
0.0 | 0.0 | |
about 1 year ago | over 2 years ago | |
Python | Python | |
- | 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.
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.
LOTICv2
Posts with mentions or reviews of LOTICv2.
We have used some of these posts to build our list of alternatives
and similar projects.
FastMOT
Posts with mentions or reviews of FastMOT.
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?
-
Assign ID and track moving object with optical flow
On failure, you can try using a re-identification methods like FastReid: https://github.com/JDAI-CV/fast-reid in combination with your detector. A good pipeline that combines everything you seem to need is here: https://github.com/GeekAlexis/FastMOT. It uses a combination of Yolov4 (detector) + Kalman filters, Optical flow (tracker) and FastReid (re-identification)