py-motmetrics
ECCV22-P3AFormer-Tracking-Objects-as-Pixel-wise-Distributions
| py-motmetrics | ECCV22-P3AFormer-Tracking-Objects-as-Pixel-wise-Distributions | |
|---|---|---|
| 1 | 1 | |
| 1,326 | 157 | |
| - | 0.0% | |
| 4.4 | 0.0 | |
| 17 days ago | over 1 year ago | |
| Python | Python | |
| MIT License | GNU General Public License v3.0 or later |
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
ECCV22-P3AFormer-Tracking-Objects-as-Pixel-wise-Distributions
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[D] Approaches to new code: create a map of the code structure, does it make sense?
An example can be found here: https://github.com/dvlab-research/ECCV22-P3AFormer-Tracking-Objects-as-Pixel-wise-Distributions/raw/main/figs/model_mind_flow.png
What are some alternatives?
multi-object-tracker - Multi-object trackers in Python
VNext - Next-generation Video instance recognition framework on top of Detectron2 which supports InstMove (CVPR 2023), SeqFormer(ECCV Oral), and IDOL(ECCV Oral))
VolleyVision - Applying Deep Learning Approaches to Volleyball Data
Unicorn - [ECCV'22 Oral] Towards Grand Unification of Object Tracking
Yolo_mark - GUI for marking bounded boxes of objects in images for training neural network Yolo v3 and v2
classy-sort-yolov5 - Ready-to-use realtime multi-object tracker that works for any object category. YOLOv5 + SORT implementation.
zero-shot-object-tracking - Object tracking implemented with the Roboflow Inference API, DeepSort, and OpenAI CLIP.
deep_sort_pytorch - MOT using deepsort and yolov3 with pytorch
yolov4-deepsort - Object tracking implemented with YOLOv4, DeepSort, and TensorFlow.
Deep-SORT-YOLOv4 - People detection and optional tracking with Tensorflow backend.
UNINEXT - [CVPR'23] Universal Instance Perception as Object Discovery and Retrieval