yolo_tracking
BMT
| yolo_tracking | BMT | |
|---|---|---|
| 8 | 1 | |
| 6,228 | 220 | |
| - | - | |
| 9.9 | 2.9 | |
| 6 days ago | about 1 year ago | |
| Python | Jupyter Notebook | |
| GNU Affero General Public License v3.0 | 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.
yolo_tracking
- FLiPN-FLaNK Stack Weekly for 17 April 2023
- Person head count
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[P] Vehicle detection with pytorch
You can use YOLOv5 with the StrongSORT. We have been using it for human detection and tracking. It works really well and YOLOv5 in general really easy to use and implement out of the box. here is the repo that we are using.
- ID Swap issue in multi-object tracking.
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tracking-by-detection, multiple object tracking algorithm
Try looking into DeepSort, which uses a deep association metric in addition to the traditional SORT algorithm to kind of improve upon the ID reassignment issue. However, I suspect you would have to come up with your own re-id model since you have a unique object you're trying to detect. Here's the paper . I've had decent results using https://github.com/mikel-brostrom/Yolov5_DeepSort_OSNet as an out of the box implementation for coco object. It's written in PyTorch.
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Object tracking in videos?
https://github.com/mikel-brostrom/Yolov5_DeepSort_Pytorch I see this combination mentioned a decent amount
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Deepsort stuck in tentative
https://github.com/mikel-brostrom/Yolov5_DeepSort_Pytorch/blob/master/deep_sort_pytorch/deep_sort/sort/tracker.py.
BMT
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Hey everyone! This is a project of mine that I have been working on. It is a video captioning project. This encoder decoder architecture is used to generate captions describing scene of a video at a particular event. Here is a demo of it working in real time. Check out my Github link below. Thanks!
Great project. If you want to add attention mechanism (Transformer), this paper implementation is one of the best that I have used for the same problem: https://github.com/v-iashin/BMT
What are some alternatives?
yolact - A simple, fully convolutional model for real-time instance segmentation.
ffsubsync - Automagically synchronize subtitles with video.
ByteTrack - [ECCV 2022] ByteTrack: Multi-Object Tracking by Associating Every Detection Box
bitrate-variation-plotter - Plots a graph showing the bitrate every second or the bitrate of every GOP, for an audio or video file.
FairMOT - [IJCV-2021] FairMOT: On the Fairness of Detection and Re-Identification in Multi-Object Tracking
SpecVQGAN - Source code for "Taming Visually Guided Sound Generation" (Oral at the BMVC 2021)
segment-anything - The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
python-mpv - Python interface to the awesome mpv media player
classy-sort-yolov5 - Ready-to-use realtime multi-object tracker that works for any object category. YOLOv5 + SORT implementation.
yolov5 - YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
crop - Character Recognition Of Plates using yolov5
FastMOT - High-performance multiple object tracking based on YOLO, Deep SORT, and KLT 🚀