Yolov8 object detection + deep sort object tracking | Computer vision tutorial

#computervision #computervisiontutorial #computervisionengineer #yolov8 #deepsort #objectdetection #objecttracking

[ComputerVisionEngineer]

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[trackthe]

This channel became my best source thank you!!

[PunyisaLeelaniramol]

I got an error: "AttributeError: module 'tensorflow' has no attribute 'Session' " when I ran "tracker = Tracker()". How can I resolve this? Thankyou.

[TinLee]

i can't install requirements.txt
my python version is 3.10, what should i do next;((

[Hod_ranadeep]

After :- tracker.update(frame, detections)
TypeError: tuple indices must be integers or slices, not tuple
this error always show up, how can correct it.

[MrRynRules]

Well done sir, it was a really great video!

[bryantimothy]

Followed all the steps exactly and still got errors. I also cant seem to install some of the versions of the dependencies on python 3.7. The system says that the version you stated in this video is not compatible with python 3.7

[mehdicharife]

Does this only work for tracking people?

[tasmeeralam]

Thank you so much for the tutorial. I want to use pytorch as my engine instead of tensorflow. How do i make these changes? i would really appreciate your guidance please!

[saltygamer]

If i wanted to add a counter to sum up all unique objects identified, where and how do i do that

[dasigiraghu]

Amazing was able to follow the video and execute the code...It took me weeks to learn think deep sort will be able to run on CPU....Great work....!!! Planning to make a use case out of this....

[yeccfmx]

Hey Felipe, just wanted to say that I've been following your work for some time now and your content has been very valuable for me and my colleagues. I hope you know how appreciated you are by your community.

[stevegreen]

Hey there, I appreciate the high-quality content you create—it's been a tremendous help. I know your usual topics vary, but I'd love a deep dive into YOLOV8 and its customization for specific purposes. Specifically, I'm curious about training YOLOV8 on an image and a label, rather than the standard bounding box output. I understand the common practice is to feed YOLOV8's output into another model, but what I'm really after is direct control over the output layer—maybe having YOLOV8 generate coordinates or values instead of the usual bounding box.

In my case, having an accurate bounding box matters, but my images aren't razor-sharp. I already have the images and correct answers, but I want YOLO or the model to learn which reference points are crucial for minimizing loss. Any suggestions? While I can stick with using YOLO as an intermediate step and employ linear regression or a neural network for final training, I'm curious if there's a more direct or efficient method. Would love to hear your thoughts.

[mz]

Great video, thanks! But when installing dependencies, I ran into the following issue: ModuleNotFoundError: No module named During the skikit-learn installation I got the following error: ERROR: Could not find a version that satisfies the requirement scikit-learn==0.21.0. Any idea?

[hosseintamanaeifar]

thanks a lot. the idea of the video is great, however the code needs to be updated. especially when you use scikit-learn==0.21.0 since the latest version of this library is 1.4.0. I have tried to make the code compatible, but the tuple error and some consequent error happend. so the idea of code update would be great.

[rlvccdl]

hello sir, watched your video its really fantastic i just want to know how to operate a relay upon any particular

[oguapi]

Good tutorial Felipe, I was able to follow it using python 3.9

[aerogrampur]

Great video. Can I tag people with unique ids as well?

[pinheirobrunocorp]

Excellent tutorial. One question, is it possible to embed this code in the YOLOv8 architecture with a .yaml archive?

[legiahuy]

thanks for your sharing, but where can i download model_data