Yolov7_StrongSORT_OSNet
yolov7_counting
| Yolov7_StrongSORT_OSNet | yolov7_counting | |
|---|---|---|
| 1 | 1 | |
| 393 | 2 | |
| - | - | |
| 0.0 | 2.8 | |
| 7 days ago | about 1 year ago | |
| Python | Python | |
| GNU General Public License v3.0 only | Apache License 2.0 |
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Yolov7_StrongSORT_OSNet
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Multicamera ReID
I have several cameras that stream via multiprocessing frames. With yolov7 I detect persons. Now I want to track and re-identify these persons across all streams. From the multiprocessing point of view this is no problem (shared list) but I don't know which method I can/should use. I tried something with StrongSort but there is a Kalman filter in it which would iritate the model because of wrong positions and velocities. Can someone help me? At the moment this StrongSort algorithm from Github works great. But the ReID does not take place logically there across streams.
yolov7_counting
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Detect, track and count objects with Python
You can read and view some results on my GitHub page /aagustinconti
What are some alternatives?
mmtracking - OpenMMLab Video Perception Toolbox. It supports Video Object Detection (VID), Multiple Object Tracking (MOT), Single Object Tracking (SOT), Video Instance Segmentation (VIS) with a unified framework.
ONNX-YOLOv7-Object-Detection - Python scripts performing object detection using the YOLOv7 model in ONNX.
yolo_tracking - BoxMOT: pluggable SOTA tracking modules for segmentation, object detection and pose estimation models
deep_sort_realtime - A really more real-time adaptation of deep sort
Object_Detection_Tracking - Out-of-the-box code and models for CMU's object detection and tracking system for multi-camera surveillance videos. Speed optimized Faster-RCNN model. Tensorflow based. Also supports EfficientDet. WACVW'20
caer - High-performance Vision library in Python. Scale your research, not boilerplate.
ByteTrack - [ECCV 2022] ByteTrack: Multi-Object Tracking by Associating Every Detection Box
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 ).
PaddleDetection - Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
IkomiaApi - Deploy Computer Vision solutions with a few lines of code.