YOLOv8 support

[jpfleischer]

How to integrate YOLOv8?

I converted onnx to trt but the fastmot asks for anchor values. YOLOv8 is anchorless.

[AbdulmueezEmiola]

Any update on this?

[GeekAlexis]

You can create a new YOLOAnchorless base class instead of subclassing the existing one:

FastMOT/fastmot/models/yolo.py

Line 11 in 32c217a

class YOLO:

Make necessary modifications as needed.
Pull requests or contributions are welcome

[jpfleischer]

@GeekAlexis please share a link to a discord or a platform where we can collaborate. it would be much appreciated if we could work together to improve FastMOT.

[GeekAlexis]

@GeekAlexis please share a link to a discord or a platform where we can collaborate. it would be much appreciated if we could work together to improve FastMOT.

Created a discord server: https://discord.gg/7CB6q9j4. Feel free to join.

[chulyoung-code]

@GeekAlexis
@jpfleischer

Hello

I am also working on changing fastmot's detection model to yolov8.
At first, I applied the yolov8 model using pytorch without trt conversion, and the detection accuracy was good, but the problem was that it was slow because it was not trt conversion.

So I'm looking for a way to convert the yolov8 model to a trt model within the fastmot pipeline.

Have you found a way?
I want to share information with you
I also want to help in whatever way I can.

[jpfleischer]

hi @chulyoung-code
Please upload your repo so we can see the working v8 implementation

[osmancanaksoy]

Hi,
any update on this ?

[chulyoung-code]

@jpfleischer @osmancanaksoy

Up to now,
After converting the yolov8 model individually into a trt engine file
We have completed loading the relevant engine file and applying it to fastmot.

We plan to compare the performance of pytorch / trt / 3 existing yolov4

I was too busy with work so I couldn't upload it to git.
I'll update when it's done.