All YOLOv8 and YOLOv5 models for object detection supported#18
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vietanhdev merged 20 commits intovietanhdev:masterfrom Apr 14, 2023
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All YOLOv8 and YOLOv5 models for object detection supported#18vietanhdev merged 20 commits intovietanhdev:masterfrom
vietanhdev merged 20 commits intovietanhdev:masterfrom
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April 12, 2023 19:50
vietanhdev
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Apr 14, 2023
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- Please add onnxruntime-gpu to pyproject.toml and requirements-macos.txt also.
| if model_info["type"] == "yolov5": | ||
| from .yolov5 import YOLOv5 | ||
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I added the onnnruntime-gpu to Check the changes I made here, maybe it is what you required but I am not pretty sure: |
vietanhdev
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Apr 14, 2023
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@hdnh2006 "onnxruntime-gpu" is not supported on mac m1. Therefore I removed it from pyproject.toml and requirements-macos.txt. |
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This PR supports all the YOLOv5 v7.0 models and all the YOLOv8 for object detection from Ultralytics.
A new class
YOLOv8has been created inside the codeyolov8.py. This class will deal with the post process of YOLOv8 which is a bit different of YOLOv5.Models must be exported with
opset=12with the code:However, they are available in my assets: https://github.com/hdnh2006/anylabeling-assets/releases/tag/v0.0.0.
The models must be added to @vietanhdev repo, otherwise, they need to be downloaded manually.