Welcome to DOFBOT-Ultra repository

Oriented Bounding Boxes Object Detection

Note: The environment is already configured. Simply follow the tutorial to run the corresponding functional commands.

1. Oriented Object Detection: Image

Use yolo11n-obb.pt to predict images that come with the ultralytics project.

Enter the code folder:

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cd /home/sunrise/ultralytics/ultralytics/yahboom_demo

Run the code:

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python3 05.obb_image.py

Result Preview

YOLO recognition output image location: /home/sunrise/ultralytics/ultralytics/output/

Example code:

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from ultralytics import YOLO
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# Load a model
model = YOLO("/home/sunrise/ultralytics/ultralytics/yolo11n-obb.pt")
# model = YOLO("/home/sunrise/ultralytics/ultralytics/yolo11n-obb.onnx")
# model = YOLO("/home/sunrise/ultralytics/ultralytics/yolo11n-obb_ncnn_model")
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# Run batched inference on a list of images
results = model("/home/sunrise/ultralytics/ultralytics/assets/car.jpg")  # return a list of Results objects
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# Process results list
for result in results:
 Image Classification
Model Prediction