py-motmetrics
trajectopy-core
| py-motmetrics | trajectopy-core | |
|---|---|---|
| 1 | 1 | |
| 1,326 | 1 | |
| - | - | |
| 4.4 | 9.2 | |
| 17 days ago | 12 days 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.
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
trajectopy-core
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Trajectory Evaluation in Python - Update
The first, called trajectopy, stands as a full-fledged application featuring a PyQt6-based graphical user interface (GUI). This GUI-driven platform simplifies trajectory-related tasks and offers an intuitive user experience. For those desiring a more in-depth approach, there is trajectopy-core. This backend implementation without any PyQt6 dependencies provides essential functionality e.g. for computing absolute trajectory error (ATE) and relative pose error (RPE).
What are some alternatives?
multi-object-tracker - Multi-object trackers in Python
torch-fidelity - High-fidelity performance metrics for generative models in PyTorch
VolleyVision - Applying Deep Learning Approaches to Volleyball Data
rexmex - A general purpose recommender metrics library for fair evaluation.
Yolo_mark - GUI for marking bounded boxes of objects in images for training neural network Yolo v3 and v2
trajectopy - Trajectopy - Trajectory Evaluation in Python
zero-shot-object-tracking - Object tracking implemented with the Roboflow Inference API, DeepSort, and OpenAI CLIP.
avalanche - Avalanche: an End-to-End Library for Continual Learning based on PyTorch.
yolov4-deepsort - Object tracking implemented with YOLOv4, DeepSort, and TensorFlow.
datasets - 🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools
classy-sort-yolov5 - Ready-to-use realtime multi-object tracker that works for any object category. YOLOv5 + SORT implementation.
ZnH5MD - ZnH5MD - High Performance Interface for H5MD Trajectories