deep_sort_realtime
A really more real-time adaptation of deep sort (by levan92)
yolov7_counting
Detect, track and count different classes of objects. (by aagustinconti)
| deep_sort_realtime | yolov7_counting | |
|---|---|---|
| 1 | 1 | |
| 135 | 2 | |
| - | - | |
| 1.7 | 2.8 | |
| 12 months ago | about 1 year ago | |
| Python | Python | |
| MIT License | Apache License 2.0 |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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.
deep_sort_realtime
Posts with mentions or reviews of deep_sort_realtime.
We have used some of these posts to build our list of alternatives
and similar projects.
-
Need help with ID persistence issue in football player tracking project
Detected players passed to the deepsort_realtime package for tracking and ID assignment (Source)
yolov7_counting
Posts with mentions or reviews of yolov7_counting.
We have used some of these posts to build our list of alternatives
and similar projects.
-
Detect, track and count objects with Python
You can read and view some results on my GitHub page /aagustinconti
What are some alternatives?
When comparing deep_sort_realtime and yolov7_counting you can also consider the following projects:
yolo_series_deepsort_pytorch - Deepsort with yolo series. This project support the existing yolo detection model algorithm (YOLOV8, YOLOV7, YOLOV6, YOLOV5, YOLOV4Scaled, YOLOV4, YOLOv3', PPYOLOE, YOLOR, YOLOX ).
ONNX-YOLOv7-Object-Detection - Python scripts performing object detection using the YOLOv7 model in ONNX.
AS-One - Easy & Modular Computer Vision Detectors and Trackers - Run YOLO-NAS,v8,v7,v6,v5,R,X in under 20 lines of code.
caer - High-performance Vision library in Python. Scale your research, not boilerplate.
IkomiaApi - Deploy Computer Vision solutions with a few lines of code.