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THU-MIG / yolov10

YOLOv10: Real-Time End-to-End Object Detection
https://arxiv.org/abs/2405.14458
GNU Affero General Public License v3.0
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Reports version 8.1.34 #280

Open yochem opened 2 weeks ago

yochem commented 2 weeks ago

MWA:

git clone https://github.com/THU-MIG/yolov10
cd yolov10
python3.9 -m venv venv-yolov10
source venv-yolov10/bin/activate
yolo version
# gives 8.1.34

Also running the following:

from ultralytics import YOLOv10

model = YOLOv10('best.pt')

model.val(data='data.yml', batch=1, save_json=True)

Gives:

Ultralytics YOLOv8.1.34 🚀 Python-3.9.19 torch-2.2.2 CPU (Intel Core(TM) i9-9880H 2.30GHz)
YOLOv10s summary (fused): 293 layers, 8035734 parameters, 0 gradients, 24.4 GFLOPs

It's not clear now which model is used.