Object Tracking and Reidentification with FairMOT
Вставка
- Опубліковано 6 чер 2024
- FairMOT is a model for multi-object tracking which consists of two homogeneous branches to predict pixel-wise objectness scores and re-ID features.
Arguably, the most crucial task of a Deep Learning based Multiple Object Tracking (MOT) is not to identify an object, but to re-identify it after occlusion. There are a plethora of trackers available to use, but not all of them have a good re-identification pipeline. Here we will focus on one such tracker, FairMOT, that revolutionized the joint optimization of detection and re-identification tasks in tracking.
We will learn about the following:
✅About MOTs
✅Problems faced because of previous trackers
✅The problems FairMOT tackles
✅FairMOT’s homogenous architecture
✅The detection branch and its various heads
✅Re-ID branch and the embeddings
✅Association stage of FairMOT
✅The results on public datasets
✅Comparison with DeepSORT
Here we understand and explain the inner workings of FairMOT Tracker. Checkout the intermediate outputs, and compare the results with DeepSort Tracker
📚 Blog post link: learnopencv.com/object-tracki...
🖥️ On our blog - learnopencv.com we also share tutorials and code on topics like Image Processing, Image Classification, Object Detection, Face Detection, Face Recognition, YOLO, Segmentation, Pose Estimation, and many more using OpenCV(Python/C++), PyTorch, and TensorFlow.
🤖 Learn from the experts on AI: Computer Vision and AI Courses
YOU have an opportunity to join the over 5300+ (and counting) researchers, engineers, and students that have benefited from these courses and take your knowledge of computer vision, AI, and deep learning to the next level.
opencv.org/courses
#️⃣ Social Media #️⃣
📝 Linkedin: / satyamall. .
📱 Twitter: / learnopencv
🔊 Facebook: profile.php?...
📸 Instagram: / learnopencv
🔗 Reddit: / spmallick
⭐️ Time Stamps:⭐️
0:00-00:10: Introduction
00:10-00:33: Object Tracking
00:33-00:45: Approaches to Tracking & Re-ID
00:45-03:09: FairMOT
03:09-03:22: DeepSort Vs FairMOT Results
🔖Hashtags🔖
#AI #fairmot #fairmotarchitecture #machinelearning #objectdetection #deeplearning #computervision #objecttracking
Nice, very good explanation of one of the most claimed applications for CV.
Glad you liked it, Rangel!
Hello sir, I am doing my Advanced Computer Vision final project at my university. Thanks a lot for your tutorial, it does help me a lot to understand fairMOT. However, I have some problem with the demo code. Can you make an updated version of this so that I can run it on Google Colab 2023?
We had uploaded DeepSORT Object Tracking a few weeks back. Check that out: ua-cam.com/video/GkZRKaQZ_ys/v-deo.html
Hi, as the project topic I am heading is about reID with FairMOT, can you help me out with this?
I have problems using FairMOT on costum data, how did you set it up? got any example code?
Hi, please check the blog post for more details. You can also find the code for it on the blog.
@@LearnOpenCV I read trough it and found it really insight full, however the I never received the download link in my mail when I clicked on the download part at the end of the article.
In the mail you'll find a link to the LearnOpenCV GitHub repository. All the code for all the blog posts are hosted there. Checkout the FairMOT code in there.
interesting ive had trouble getting fairmot going i keep getting cython error from cython_bbox import bbox_overlaps as bbox_ious
File "src/cython_bbox.pyx", line 1, in init cython_bbox
ImportError: numpy.core.multiarray failed to import (auto-generated because you didn't call 'numpy.import_array()' after cimporting numpy; use 'numpy._import_array' to disable if you are certain you don't need it).
Hi, I believe upgrading numpy or installing cython_bbox should do the trick. Check this issue: github.com/ifzhang/FairMOT/issues/8
@@LearnOpenCV very very strange ive tried a lot of numpy versions but apparently it is working with 1.23 wtf lol it should have worked according to the compatibility reported when downloading at 1.20.3 or 1.24 or less but 1.23 was the magic numpy wtf lmao
Very good video and a clear explanation.
I am learning FairMOT with Yolov5 detector, can you give me the source code?
Thank you very much.
You can find the code here: github.com/spmallick/learnopencv/tree/master/Object-Tracking-and-Reidentification-with-FairMOT
Hi , ive been working on the same problem and wanted some help. It would be really helpful if you could share the code for how u used yolo and fairmot together
Is it able to reid in different streams/cameras of the same person?
No, ReID in multiple cameras is not solved using FairMOT
@@LearnOpenCVis there any solution available for multiple camera tracking for same person?
@@cena777248 same question here
Same question here
Any idea about how resolve this?
How to Detect QRCode and BarCode using OpenCVSharp to C#
We have code for QRCode and barCode in C++ and Python, learnopencv.com/wechat-qr-code-scanner-in-opencv/
learnopencv.com/barcode-and-qr-code-scanner-using-zbar-and-opencv/
We do not have code for C# but you can port it to C# if possible.
could you please share me the ppt?
Hi dear, unfortunately we don't have ppt as it is an animated video. However, you can create a ppt out the video with the help of our blog: learnopencv.com/video-to-slides-converter-using-background-subtraction/
You can also go through this video: ua-cam.com/video/tzyNRR9bJV8/v-deo.html to understand it better
Code pls?
Please refer to this link for more information: learnopencv.com/object-tracking-and-reidentification-with-fairmot/