classy-sort-yolov5
py-motmetrics
classy-sort-yolov5 | py-motmetrics | |
---|---|---|
1 | 1 | |
107 | 1,326 | |
- | - | |
0.0 | 4.4 | |
over 1 year ago | 19 days ago | |
Python | Python | |
GNU General Public License v3.0 only | 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.
classy-sort-yolov5
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
What are some alternatives?
ByteTrack - [ECCV 2022] ByteTrack: Multi-Object Tracking by Associating Every Detection Box
multi-object-tracker - Multi-object trackers in Python
yolo_tracking - BoxMOT: pluggable SOTA tracking modules for segmentation, object detection and pose estimation models
VolleyVision - Applying Deep Learning Approaches to Volleyball Data
zero-shot-object-tracking - Object tracking implemented with the Roboflow Inference API, DeepSort, and OpenAI CLIP.
Yolo_mark - GUI for marking bounded boxes of objects in images for training neural network Yolo v3 and v2
yolov5 - YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
yolov4-deepsort - Object tracking implemented with YOLOv4, DeepSort, and TensorFlow.
ByteTrack-ONNX-Sample - ByteTrack(Multi-Object Tracking by Associating Every Detection Box)のPythonでのONNX推論サンプル
Deep-SORT-YOLOv4 - People detection and optional tracking with Tensorflow backend.