py-motmetrics
Deep-SORT-YOLOv4
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py-motmetrics | Deep-SORT-YOLOv4 | |
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1 | 1 | |
1,322 | 492 | |
- | - | |
4.9 | 0.0 | |
7 days ago | about 3 years ago | |
Python | Python | |
MIT License | GNU General Public License v3.0 only |
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.
py-motmetrics
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HOW to find MOTA and MOTP for MOT evaluation metrics?
I think this repo is a great starting point for your question: https://github.com/cheind/py-motmetrics
Deep-SORT-YOLOv4
What are some alternatives?
multi-object-tracker - Multi-object trackers in Python
yolov5 - YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
VolleyVision - Applying Deep Learning Approaches to Volleyball Data
yolov4-deepsort - Object tracking implemented with YOLOv4, DeepSort, and TensorFlow.
Yolo_mark - GUI for marking bounded boxes of objects in images for training neural network Yolo v3 and v2
FastMOT - High-performance multiple object tracking based on YOLO, Deep SORT, and KLT 🚀
zero-shot-object-tracking - Object tracking implemented with the Roboflow Inference API, DeepSort, and OpenAI CLIP.
AI-basketball-analysis - :basketball::robot::basketball: AI web app and API to analyze basketball shots and shooting pose.
classy-sort-yolov5 - Ready-to-use realtime multi-object tracker that works for any object category. YOLOv5 + SORT implementation.
yolo-tf2 - yolo(all versions) implementation in keras and tensorflow 2.x