py-motmetrics
VolleyVision
| py-motmetrics | VolleyVision | |
|---|---|---|
| 1 | 2 | |
| 1,326 | 142 | |
| - | - | |
| 4.4 | 8.7 | |
| 18 days ago | about 1 month ago | |
| Python | Python | |
| MIT License | GNU Affero General Public License v3.0 |
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
VolleyVision
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Open-Source Hawkeye for Volleyball
Yo can find the code and datasets on GitHub - VolleyVision.
Check out the code on GitHbu - VolleVision
What are some alternatives?
multi-object-tracker - Multi-object trackers in Python
Yolo_mark - GUI for marking bounded boxes of objects in images for training neural network Yolo v3 and v2
UNINEXT - [CVPR'23] Universal Instance Perception as Object Discovery and Retrieval
zero-shot-object-tracking - Object tracking implemented with the Roboflow Inference API, DeepSort, and OpenAI CLIP.
gluon-cv - Gluon CV Toolkit
yolov4-deepsort - Object tracking implemented with YOLOv4, DeepSort, and TensorFlow.
classy-sort-yolov5 - Ready-to-use realtime multi-object tracker that works for any object category. YOLOv5 + SORT implementation.
ailia-models - The collection of pre-trained, state-of-the-art AI models for ailia SDK
Deep-SORT-YOLOv4 - People detection and optional tracking with Tensorflow backend.