FastMOT
FairMOT
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| FastMOT | FairMOT | |
|---|---|---|
| 2 | 2 | |
| 1,095 | 3,926 | |
| - | - | |
| 0.0 | 0.0 | |
| over 2 years ago | 7 months 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.
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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.
FastMOT
- Does Multi Object Tracking work better (precision/recall) on videos than jury rigging a SOTA image object detection to work on videos?
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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)
FairMOT
- Does Multi Object Tracking work better (precision/recall) on videos than jury rigging a SOTA image object detection to work on videos?
-
[D] Multi object tracking (MOT)
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?
multi-object-tracker - Multi-object trackers in Python
ByteTrack - [ECCV 2022] ByteTrack: Multi-Object Tracking by Associating Every Detection Box
Deep-SORT-YOLOv4 - People detection and optional tracking with Tensorflow backend.
yolov5 - YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
yolo_tracking - BoxMOT: pluggable SOTA tracking modules for segmentation, object detection and pose estimation models
fast-reid - SOTA Re-identification Methods and Toolbox
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)
TFJS-object-detection - Real-time custom object detection in the browser using tensorflow.js
yolact - A simple, fully convolutional model for real-time instance segmentation.
zero-shot-object-tracking - Object tracking implemented with the Roboflow Inference API, DeepSort, and OpenAI CLIP.
darknet - YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )